Mind Group

BACKGROUND

Please describe your company and position.

I am the Manager of Mente Rural

Describe what your company does in a single sentence.

Agribusiness / Education / Digital Platform

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire Mind Group to accomplish?

• We needed to develop a modern website that reflected our brand positioning and could support our digital growth. Our previous website had limitations in terms of performance, architecture, and user experience, making it difficult to publish new content and provide a smooth experience for visitors.
• We also wanted to significantly improve our organic presence on Google and create a platform prepared for future expansion, including restricted areas, new courses, and integrations with automation tools.

SOLUTION

How did you find Mind Group?

• Online Search
• Referral

Why did you select Mind Group over others?

• High ratings
• Pricing fit our budget
• Good value for cost
• Referred to me
• Company values aligned

How many teammates from Mind Group were assigned to this project?

6-10 Employees

Describe the scope of work in detail. Please include a summary of key deliverables.

The software house was responsible for the complete development of the platform. The project included: A fully custom-developed corporate website; An information architecture focused on educational content; SEO-optimized pages; An administrative area for content management; Smart content categorization; Performance optimization; Responsive design for desktop, tablet, and mobile devices; Implementation of accessibility best practices; Integration with traffic analytics tools; A scalable structure prepared for future features and platform growth. The entire development was fully customized to our needs, without the use of pre-built templates.

RESULTS & FEEDBACK

What were the measurable outcomes from the project that demonstrate progress or success?

We saw very positive results during the first few months after launch. These included: Approximately 185% growth in organic traffic; A 72% increase in average user session duration; More than a 60% reduction in page load times; A 48% increase in leads generated through the website; Significant improvements in the rankings of strategic pages on search engines; An increase in form conversion rates; Excellent platform stability, with no significant downtime since launch. The new website also made internal content management much easier, significantly reducing the time our team spends publishing new materials.

Describe their project management. Did they deliver items on time? How did they respond to your needs?

Project management was one of the company's greatest strengths. Deliverables were completed according to schedule, with regular meetings, demonstrations of the features being developed, and consistent tracking of the project's progress. Whenever new ideas or requirements came up, the team evaluated their impact, presented alternatives, and worked toward the best technical solution. Communication was extremely transparent throughout the entire development process.

What was your primary form of communication with Mind Group?

• In-Person Meeting
• Virtual Meeting

What did you find most impressive or unique about this company?

What impressed us the most was the team's commitment to the project's results. They did not simply build a visually appealing website. They genuinely understood our business objectives and proposed improvements that were not even part of the initial scope. Another major differentiator was the team's high level of technical expertise, particularly in architecture, performance, and SEO. Even after the project was delivered, they remained available to provide guidance on improvements and support the platform's continued evolution. It was a partnership that went well beyond our expectations.

Are there any areas for improvement or something Mind Group could have done differently?

Honestly, we had a very positive experience. As with any project, there were a few minor scope adjustments during development, but everything was handled with transparency and speed. We did not experience any significant issues throughout the project, and we would definitely work with the same team again.

BACKGROUND

Introduce your business and what you do there.

I'm the product manager of Regallo Eventos, an event tech company and supplier marketplace for events, parties, and celebrations.

OPPORTUNITY / CHALLENGE

What challenge were you trying to address with Mind Consulting?

The supplier market for events in Brazil is extremely fragmented and informal. The vast majority of suppliers operate locally without a professional digital presence, relying on referrals and WhatsApp groups to close contracts. On the organizer's side, researching suppliers is frustrating — it requires visiting dozens of Instagram pages, requesting quotes individually, and comparing them with no standard framework.
We needed to build a marketplace from scratch that would professionalize this process on both sides. For the organizer, we needed an intuitive search and discovery experience with filters relevant to the hiring decision. For the supplier, we needed a professional digital showcase with ad management tools, category visibility, and performance metrics. 
The platform also needed to be architecturally designed to integrate natively with the other two Regallo ecosystem products — the management software and the courses — forming a complete solution for the events industry.

SOLUTION

What was the scope of their involvement?

Mind Consulting handled the project end-to-end, including UX research, UI design, full-stack development, technical SEO architecture, and QA. The team built a complete marketplace from scratch, including a web portal with a home page segmented by event type (wedding, children's party, corporate, graduation), a search engine with filters by service category, city, event type, price range, and service capacity (guest count), and a featured suppliers section by region.
Additionally, Mind Consulting built a listings and ad system with a rich profile page for each supplier, including a high-resolution photo and video gallery, service description, coverage areas, price range, available packages, customer reviews, and a direct contact button via WhatsApp and quote request form. 
The team also built advanced search filters supporting multiple simultaneous criteria, sorting by relevance, rating, and geographic proximity, and keyword search within categories. Moreover, Mind Consulting built a verified reviews system with automatic review requests sent after a registered contact, overall and per-criterion ratings (quality, punctuality, communication, value for money), and public supplier responses. 
The team also built a supplier dashboard with ad management, photo gallery, view and click statistics per listing, featured ad control, and a received leads report. Furthermore, Mind Consulting built a hierarchical category system with a two-level taxonomy (main category + subcategory), enabling navigation through "Music > DJ," "Catering > Full Buffet," "Photo & Video > Cinematic Filming," etc. 
The team also built a Regallo ecosystem integration module with shared SSO with the event management platform and courses, allowing a supplier registered on the marketplace to access the other products with the same login. Finally, Mind Consulting built an admin panel with supplier management, ad and review moderation, category analytics by city, generated leads report, and paid featured listing tools.

What is the team composition?

We worked with a project manager, a UX designer, a full-stack developer, and an SEO specialist.

How did you come to work with Mind Consulting?

We found Mind Consulting through an online search. We chose them over other options because they had high ratings, their pricing fit our budget, they had a great culture fit, they offered good value for the cost, they were referred to me, and their company values aligned with ours.

What is the status of this engagement?

We worked together from November 2023–November 2024.

RESULTS & FEEDBACK

What evidence can you share that demonstrates the impact of the engagement?

In the first 90 days after launch, we had 1,240 suppliers registered across more than 30 categories and dozens of Brazilian cities. We also had 18,400 unique monthly visitors by the end of the third month, 100% organic growth via SEO, and category-by-city pages ranking on the first page of Google for terms such as "DJ for wedding [city]," "children's buffet [city]," and "wedding photographer [city]" — a direct result of the implemented SEO architecture. 
We also had 4,800 quote leads generated for suppliers in the first 90 days, a supplier profile completion rate of 74% — above the average for local service marketplaces (typically 45–55%) — reflecting the intuitive UX of the supplier dashboard, a supplier NPS of 79, and an event organizer NPS of 72.
Moreover, the integration with the other Regallo ecosystem products already accounts for 31% of marketplace suppliers also active on the event management platform, validating the integrated ecosystem strategy. 
We set three core KPIs for the first 90 days post-launch: 500 registered suppliers across at least 15 cities and 20 categories, 10,000 unique monthly visitors by the end of month three, and first-page Google rankings for at least 10 high-intent local terms (e.g., "DJ para casamento [city]", "buffet infantil [city]"). Mind Consulting exceeded all three.
We closed the 90-day window with 1,240 registered suppliers across 30+ categories and dozens of cities, 18,400 unique monthly visitors, and category-by-city pages ranking on page one for well over 10 terms — all organic, with zero paid media.
We also tracked two secondary metrics that weren't formal KPIs but that we cared about: supplier profile completion rate (we hoped for 60%, got 74%) and leads generated for suppliers (no formal target, but 4,800 in 90 days was well above what we had modeled).

How did Mind Consulting perform from a project management standpoint?

Mind Consulting's project management was especially attentive to the interdependencies between the marketplace and the other Regallo ecosystem products. The team maintained constant alignment with the teams across all three products to ensure that marketplace architecture decisions — especially the supplier data model and the SSO — were compatible with what already existed in the other systems.
Moreover, the bi-weekly sprints were very well organized, with live demos and structured feedback cycles. When we identified, in Sprint 5, that the category taxonomy needed a second hierarchical level that had not been included in the original scope, Mind Consulting reorganized the backlog and delivered the change with no impact on the overall timeline — and without charging extra, because they understood the improvement was structurally necessary for the product.

What did you find most impressive about them?

Mind Consulting's approach to SEO as a product strategy, not a technical afterthought, was impressive. From the start of the project, the SEO specialist participated in architecture meetings and influenced decisions around URL structure, city-by-category page generation, and local business schema markup implementation.
The result was a marketplace that launched with a content architecture that Google could index and understand perfectly — which translated into real organic traffic within fewer than 60 days of launch, with zero investment in paid media. For a marketplace that depends on supplier and organizer volume to function, that organic traction advantage was extraordinary.

Are there any areas they could improve?

I can't think of anything for Mind Consulting to improve.

BACKGROUND

Introduce your business and what you do there.

I’m a product manager at Mundo Parcelado, a travel tech company.

OPPORTUNITY / CHALLENGE

What challenges were you trying to address with Mind Consulting?

The experiences and activities market in Brazil is highly fragmented. Local operators offering boat tours, hiking, surf lessons, historical tours, and themed dinners operate independently with little digital visibility. They accept bookings via WhatsApp and face high no-show rates due to the lack of upfront payment.
On the consumer side, discovering these experiences was chaotic — scattered across blogs, Instagram, and word of mouth. There was no centralized platform for comparing options, reading verified reviews, and booking securely.
We needed to build a marketplace that solved both sides of this problem. We needed an intuitive search and discovery engine for consumers and professional tools for schedule management, bookings, and payment collection for operators — all with credit card installment support as a conversion differentiator.

SOLUTION

What was the scope of their involvement?

Mind Consulting built a complete platform from scratch. They handled the initial discovery and UX research, which included interviews with 14 travelers and six tour operators. The team was responsible for UI/UX design, full-stack web development in Next.js and Node.js, and React Native mobile app development for iOS and Android.
Mind Consulting built a web portal with a search and discovery engine by category (culture, sports, gastronomy, tickets, nature, tours, and transfers). The portal had filters by destination, price range, duration, rating, and date availability. The team also built experience pages with high-resolution photo galleries, detailed activity descriptions, itineraries, what's included and what's not, cancellation policies, verified participant reviews, and an integrated location map.
Mind Consulting built a real-time booking system with an operator-managed availability calendar, date/time/participant selection, and instant booking confirmation. They integrated an installment payment system supporting credit card payments in up to 12 installments, PIX with discount, and boleto via a gateway with automatic split between the platform and operator.
The team built a mobile app with the full discovery and booking experience, push notifications for confirmation and activity reminders, and offline access to booking vouchers. Mind Consulting built an operator dashboard with schedule management, slot control by date and time, confirmed and pending booking views, payout statements, and review response tools.
Mind Consulting built a verified reviews system with automatic post-activity review requests, multi-criteria ratings (guide, punctuality, value for money, safety), and content moderation. They built a digital voucher module with QR code generated upon payment confirmation, validated by the operator at the time of the activity.
Finally, Mind Consulting built an admin panel with booking analytics by category and destination, revenue and commission reports, operator management, and listing moderation. Our internal team provided business context, validated prototypes during sprint demos, and made product prioritization decisions alongside their project manager. We had no internal engineering or design capacity.

What was the team composition?

We worked with a project manager, a UX researcher, a UI/UX designer, a front-end developer, a back-end developer, and a QA engineer.

How did you come to work with Mind Consulting?

We found Mind Consulting through an online search. They had high ratings, and their pricing fit our budget. They had a great culture fit, good value for the cost, and were referred to me. Mind Consulting's values aligned with ours.

What is the status of this engagement?

We worked together from March–November 2024.

RESULTS & FEEDBACK

What evidence can you share that demonstrates the impact of the engagement?

In the first 90 days after launch, we had 380 experiences listed across seven categories and multiple destinations. We had 6,200 registered users through organic growth and 2,100 confirmed bookings with a no-show rate of only 4.8%. The industry average without upfront payment exceeds 25%, demonstrating the direct impact of the platform's paid booking model. We had an average order value of R$210 per booking, and 62% of bookings were made via the mobile app.
Our pre-launch targets for the first 90 days were 3,000 registered users, 200 listed experiences, 1,000 confirmed bookings, a no-show rate below 10%, and a mobile booking share of 50%. We reached 6,200 registered users, 380 listed experiences, 2,100 confirmed bookings, a 4.8% no-show rate, and a 62% mobile booking share.
Our target for operator NPS was 70, and we reached 81. The mobile-first operator dashboard was the most positively cited factor by suppliers in satisfaction surveys. Installment payment in up to 12 times was chosen by 38% of buyers, confirming the product's central hypothesis that payment flexibility increases conversion rates for higher-value experiences.

How did Mind Consulting perform from a project management standpoint?

Mind Consulting's project manager ran the project with agile methodology and two-week sprints. Deliveries were consistent and on schedule throughout the eight months. We had live demos at every sprint that allowed us to adjust priorities based on learnings from user testing sessions. We communicated via Slack with full transparency on progress and risks.

What did you find most impressive about them?

Mind Consulting's solution for real-time overbooking prevention was impressive. In an experiences marketplace, two buyers can be completing the checkout for the last available slot simultaneously. Handling that incorrectly creates one of the worst possible consumer experiences.
Mind Consulting implemented a temporary slot-locking system (12-minute soft lock during checkout) combined with asynchronous confirmation via a processing queue. This ensured consistency even in high-concurrency scenarios without degrading platform performance. That level of technical rigor applied to a domain-specific booking problem demonstrated maturity well beyond what we expected.

Are there any areas they could improve?

The packages module, which would combine multiple experiences into a single travel itinerary at a special price, was deferred to phase two due to scope. It is a highly requested feature by both consumers planning full trips and operators looking to increase average revenue per customer. It is already detailed in the roadmap and will be developed soon with the same team.

Do you have any advice for potential customers?

Mind Consulting is a team that stays engaged with what the product actually needs in the real world.

BACKGROUND

Introduce your business and what you do there.

I’m the commercial and partnerships manager of Mercado Morph, a marketplace for exotic animals and pets.

OPPORTUNITY / CHALLENGE

What challenge were you trying to address with Mind Consulting?

The home services market in Brazil is highly fragmented, informal, and historically driven by word-of-mouth referrals, which excludes providers without a strong network and leaves homeowners dependent on unknown professionals with no guarantee of quality. We needed to build a digital platform from scratch that would digitize the entire chain: provider registration and verification (national ID, background checks, certifications), a geolocated service request system with matching by category and availability, competitive quote flows, verified post-service reviews, and protected payments released only after the client confirms job completion.The core technical challenge was delivering a seamless experience for two very distinct user profiles — the homeowner (who wants simplicity) and the provider (who needs professional tools for schedule and billing management) — within a single, cohesive, and scalable ecosystem.

SOLUTION

What was the scope of their involvement?

Mind Consulting built the entire platform from scratch, with no off-the-shelf solution or white-label components. The team delivered a responsive web portal in Next.js for end clients, with category and geolocation search (Google Maps API), a structured service request form per demand type, a quote comparison system, and verified provider reviews.Moreover, Mind Consulting delivered an iOS and Android mobile app (React Native) for both clients and providers, with real-time push notifications for new requests, quote acceptance, status updates, and job completion confirmation. The team also built a provider web dashboard with full schedule management, active and historical job tracking, a map of open requests in their service area, payment statements, and tax documents.
Additionally, Mind Consulting delivered a geolocated matching system with a prioritization algorithm based on distance, availability, rating, response time, and review volume. The team also built a protected payment system integrated with Stripe and PIX, holding funds until service confirmation and automatically releasing payment to the provider after the client leaves a review.
Moreover, Mind Consulting delivered a provider verification module with national ID validation, criminal background check integration, and qualification certificate uploads. The team also built a robust review system with post-service photos, an overall score, and ratings by criterion (punctuality, quality, communication, cleanliness).
Furthermore, Mind Consulting delivered an internal admin dashboard with category management, registration moderation, request analytics, active coverage map, and NPS metrics by city. The team also set up cloud infrastructure on AWS with auto-scaling, a PostgreSQL database with PostGIS for geospatial queries, and Redis for real-time matching cache.

What is the team composition?

We worked with a dedicated UX/UI designer, two full stack developers, specialists for payment and logistics integrations, a QA engineer, and a project manager.

How did you come to work with Mind Consulting?

We found Mind Consulting through an online search. We chose them over other options because they had high ratings, their pricing fit our budget, they had a great culture fit, they offered good value for the cost, they were referred to me, and their company values aligned with ours.

What is the status of this engagement?

We worked together from May–October 2024.

RESULTS & FEEDBACK

What evidence can you share that demonstrates the impact of the engagement?

In the first 90 days after launch, we had 620 registered sellers (verified breeders and private keepers), 8,400 active listings across animals and accessories, 1,940 completed transactions with an average order value of R$480, and a dispute/complaint rate of just 1.2% — well below the generalist marketplace average of 4–6%, a direct result of the rigorous seller verification process. Moreover, we had a buyer NPS of 76 and a seller NPS of 81. We also had zero transport incidents in the first 90 days, owing to partnerships with licensed carriers and documentation automatically generated by the platform. The exotic animal community recognized the platform as the most secure and professional environment ever created for the segment in Brazil, with organic coverage from specialized YouTube channels and Reddit communities.
Regarding KPIs and pre-launch targets, our primary commercial target was a 50% quote-to-acceptance conversion rate. We ended up hitting 62% in the first two months, which honestly surpassed what we had internally projected for a brand-new platform in a niche segment.Beyond that, we had studied generalist marketplace dispute rates — which typically run between 4–6% — and set that as our ceiling reference when designing the seller verification flow together with Mind Consulting. Landing at 1.2% in the first 90 days was one of the most validating results we could have asked for because it directly proved that the rigorous verification process was doing its job.On the infrastructure side, the team had modeled cost and performance targets during the AWS architecture phase. Ending up 28% below the projected infrastructure cost, with 99.96% uptime and an average app load time of 1.1 seconds, showed that those early architectural decisions paid off in a very tangible way.
But if I had to point to the benchmark that mattered most to us as a business, it was the NPS scores — 76 from buyers and 81 from sellers — because in a segment where trust had been historically broken by years of fraud in informal channels, those numbers told us the market was ready to migrate to a structured environment, and that Mind Consulting had built something worth trusting. We met or exceeded every target we had set. No exceptions.Moreover, Mind Consulting combined technical competence with sensitivity to the regulatory and cultural ecosystem of the exotic animal market. 
They understood that in this segment, trust is built through details: the “verified breeder” badge visible on the listing, the technical sheet with species-specific fields by taxonomic group, the automatically generated transport documentation. Each of these elements communicates professionalism to a highly critical audience that has repeatedly been burned by fraudulent sales in informal groups. The product they delivered is not simply an e-commerce platform — it is a structural shift in how the exotic animal market operates in Brazil.

How did Mind Consulting perform from a project management standpoint?

Project management was particularly strong given the number of regulatory and operational variables involved. The project manager created a “regulatory risk” document at the project’s outset, mapping every point dependent on compliance with Brazilian environmental legislation (IBAMA, SISPASS, CITES). They also conducted a specialized legal consultation before finalizing the architecture of the seller verification module. This proactive approach to compliance was critical to launching a product that not only works but that environmental authorities can audit with confidence.Moreover, Mind Consulting delivered biweekly sprints with on-time deliveries and transparent communication throughout the entire process.

What did you find most impressive about them?

We were surprised by the organic community recognition. We hadn’t budgeted for PR or influencer outreach in the early months — our go-to-market was fairly lean. What we didn’t anticipate was how quickly specialized YouTube channels and Reddit communities dedicated to exotic animals would cover the platform spontaneously, without any push from our side. That kind of organic credibility in a niche community is nearly impossible to manufacture, and we attribute it directly to the level of detail Mind Consulting put into the product.Moreover, we were impressed by the zero transport incidents in the first 90 days. Live animal logistics is genuinely one of the highest-risk operational components in our business — an incident in transit is not just a financial loss, it is a reputational crisis in a community that is deeply emotionally invested in animal welfare. We had contingency plans ready. We never needed them.

Are there any areas they could improve?

A matching system between buyers searching for specific morphs and sellers with confirmed upcoming clutches — a “pre-order reservation” feature highly requested by the community — was deferred to phase 2 due to complexity. The reptile breeding community operates heavily on pre-sales, and this feature will be an important differentiator. The team already has the specification ready, and we will be starting development shortly.

Do you have any advice for potential customers?

Everything that was in scope was delivered on time and to a high standard.

BACKGROUND

Introduce your business and what you do there.

I’m the operations manager of Na Água, an aquatic sports, fitness, and SaaS company for swimming schools.

OPPORTUNITY / CHALLENGE

What challenges were you trying to address with Mind Consulting?

The nautical market in Brazil has always been niche, enthusiast-driven, and deeply fragmented — scattered across generic classifieds platforms, Facebook groups, and word-of-mouth networks that were never designed with this segment in mind. A buyer looking for a specific boat model, engine configuration, or price range had no efficient way to search across sellers nationally. Sellers, on the other hand, had no platform that understood the specific attributes of nautical products or that could put their listings in front of buyers who were genuinely in the market.We needed a purpose-built marketplace — with category-specific search filters, a clean comparison tool, subscription monetization for sellers, and a user experience that reflected the quality and lifestyle of the nautical world. No generic off-the-shelf solution could deliver that.

SOLUTION

What was the scope of their involvement?

Mind Consulting built the entire platform from the ground up. The team delivered a responsive web marketplace with a homepage tailored to the nautical lifestyle, featuring curated category banners (jet ski, motorboat, sailboat, inflatable) and a dynamic featured listings section. The team also built an advanced search and filtering system that allows buyers to search by category, location, price range, and product attributes specific to each vessel type.Moreover, Mind Consulting delivered a listing comparison tool that enables buyers to evaluate multiple listings side by side — a feature that is standard in automotive marketplaces but was entirely absent from the nautical segment in Brazil. The team also built seller registration and listing management with support for both private sellers and professional dealers, each with tailored onboarding flows.Additionally, Mind Consulting delivered a subscription-based monetization system with three tiers — Super (R$59/R$11), Múltiplo (R$69/R$13), and Super Múltiplo (R$129/R$24) — each offering different combinations of active listings, featured placement duration, and bp-up credits. The team also built a seller-buyer communication flow that allows direct contact via the platform or external channels, giving both parties flexibility.Moreover, Mind Consulting delivered a blog and content section to support organic SEO and community engagement around the nautical lifestyle. The team also built an admin dashboard for managing listings, sellers, categories, and subscription plans. Finally, Mind Consulting integrated WhatsApp support for real-time buyer and seller assistance.

What is the team composition?

We worked with two teammates from Mind Consulting.

How did you come to work with Mind Consulting?

We found Mind Consulting through an online search. We chose them over other options because they had high ratings, their pricing fit our budget, they had a great culture fit, they offered good value for the cost, they were referred to me, and their company values aligned with ours.

What is the status of this engagement?

We worked together from June–November 2024.

RESULTS & FEEDBACK

What evidence can you share that demonstrates the impact of the engagement?

The platform launched fully operational with the complete feature set delivered on schedule. The subscription model went live immediately at launch with three clearly differentiated tiers, generating revenue from day one. The listing comparison tool — which had no equivalent in the Brazilian nautical classifieds space — was immediately recognized by early users as the most useful decision-support feature they had ever seen in this segment.User testimonials collected in the first weeks reflected the platform's positioning: buyers praised the transparency and support experience, and sellers highlighted the product quality and fair pricing. The nautical community, which is small and highly connected, began sharing the platform organically within the first month of operation — which is the strongest validation signal we could ask for in a niche market.The platform launched with the subscription model active from day one, and all three tiers saw uptake in the first weeks — which validated our assumption that sellers in the nautical segment were genuinely underserved and ready to pay for a purpose-built environment. The free registration flow also converted well early on, with both private sellers and professional dealers onboarding without significant friction, which told us the UX work Mind Consulting did on the registration experience was effective.On the listings side, the catalog grew organically in the first month across all main categories — jet skis, motorboats, sailboats, and inflatables — which gave buyers enough inventory to make the search and comparison tools feel useful immediately rather than empty. That early density is critical for a niche marketplace, and it is something we worked hard to seed before the public launch.The feedback that stood out most in the early weeks came from sellers — specifically from people who had spent years trying to sell boats and jet skis through generic classifieds platforms or Facebook groups and felt, for the first time, that they were being taken seriously as a market. Several sellers told us unprompted that the platform "felt like it was built for them." That kind of reaction does not happen by accident. It happens when the people building the product actually took the time to understand who they were building it for — and that goes directly back to the discovery work Mind Consulting did before writing a single line of code.On the buyer side, the comparison tool generated the most spontaneous positive feedback. Buyers in the nautical segment make considered, high-value decisions — nobody buys a lancha impulsively. Having a tool that lets you put two or three listings side by side and evaluate them on the same screen was something this audience had never had before in a dedicated nautical environment, and they noticed.The third signal — and arguably the most meaningful one for our long-term growth — was the organic sharing within the community. The nautical world in Brazil is small and tightly networked. When enthusiasts start recommending a platform to each other without being asked, it means the product has earned a level of trust that no marketing budget can manufacture. We saw that happen within the first month, and we attribute it directly to the quality and intentionality of what Mind Consulting delivered. Those three things together — seller belonging, buyer utility, and community trust — are the outcomes we care most about at this stage. The numbers will follow.

How did Mind Consulting perform from a project management standpoint?

Project management was structured, transparent, and consistently ahead of potential issues. Mind Consulting used an agile approach with regular sprint reviews that included live demonstrations of completed features — which meant we always knew exactly where the project stood and could give informed feedback in real time.The project manager maintained clear documentation of scope, priorities, and decisions throughout and was proactive in flagging dependencies or risks before they became blockers. Every deadline was honored. There were no last-minute surprises at launch.

What did you find most impressive about them?

Mind Consulting's understanding that niche marketplaces live or die on trust and community fit was impressive. The team didn't build a generic classifieds platform and rename it for the nautical segment — they built something that genuinely feels like it belongs to this world. From the visual language of the homepage banners to the subscription tier naming and the UX of the comparison tool, every decision reflects an understanding of who our users are and what they expect from a platform in this space. That level of product sensibility is rare in software development.

Are there any areas they could improve?

As the platform grows and seller volume increases, a more robust in-platform messaging system between buyers and sellers — beyond the current external contact flow — will become increasingly important. Keeping conversations within the platform improves both the buyer experience and our ability to monitor transaction quality. This is on our roadmap for the next development phase, and Mind Consulting is already aware of the requirement.

BACKGROUND

Introduce your business and what you do there.

I’m the e-commerce manager of My Pet’s Place, a pet products company.

OPPORTUNITY / CHALLENGE

What challenge were you trying to address with Mind Consulting?

Our digital presence was limited to an Instagram profile and an improvised website on a generic platform that couldn’t handle our product volume, didn’t integrate with our physical inventory, and offered a shopping experience below the standard we wanted to deliver. We were losing sales due to cart abandonment, lack of adequate search filters (weight, breed, pet age group), and a confusing mobile checkout — a channel that accounts for more than 70% of our visits. We needed our own e-commerce platform: fast, with a strong visual identity and features specific to the pet market.

SOLUTION

What was the scope of their involvement?

Mind Consulting developed our complete e-commerce platform from scratch, without using ready-made platforms. They built the frontend in Next.js with a mobile-first design, optimized performance for Core Web Vitals (LCP < 1.5 seconds), and created a visual identity alongside our creative team. The team also created a product catalog with advanced filters by species, breed, age group, size, category, and price range — a critical feature for purchase decisions in the pet market.

Moreover, Mind Consulting built a recommendation system based on the pet profile registered by the customer (“my pet” — name, species, breed, weight), which personalizes the product storefront for each owner. They optimized the checkout with full payment method integration: PIX with automatic discount, credit card in up to 12 installments, and bank slip (boleto) via a proprietary gateway.

Additionally, the team integrated inventory management with restocking alerts and synchronization with the physical store. They also integrated a shipping module with Correios, Jadlog, and regional carriers, with real-time calculation by zip code. Mind Consulting built a mobile app in React Native for Android and iOS with push notifications for promotions and real-time order tracking. Finally, they created an admin panel for managing orders, products, coupons, sales reports, and cart abandonment analysis.

What is the team composition?

We worked with 6-10 teammates, including a project manager and a development team.

How did you come to work with Mind Consulting?

We found them through an online search. We chose them over other options because they had high ratings, their pricing fit our budget, they had a great culture fit, they offered good value for the cost, they were referred to me, and their company values aligned with ours.

What is the status of this engagement?

We worked together from July to December 2024.

RESULTS & FEEDBACK

What evidence can you share that demonstrates the impact of the engagement?

In the first 90 days after launch, we had a conversion rate of 4.2%, above the Brazilian e-commerce average in the pet segment (2.8%). We also had an average order value of R$187, 34% higher than during the previous period with the old website. Our cart abandonment rate reduced from 78% to 52%, a direct result of the mobile checkout optimization. Moreover, 38% of purchases were made via the app by the second month of operation, demonstrating rapid adoption. Our average store load time was 1.3 seconds on mobile, with a Lighthouse score of 91.

The pet profile feature generated immediate engagement — 61% of customers registered at least one pet on their first visit, and these users had an average order value 28% higher than the overall average.

Overall, the platform created a more personalized and seamless journey, which had a direct positive impact on customer retention and loyalty over time. While we didn’t track a formal repeat purchase rate percentage prior to the launch for a direct before-and-after comparison, we observed strong quantitative indicators that pointed to improved retention and repeat behavior.

Post-launch, 61% of users registered at least one pet on their first visit, and this cohort demonstrated a 28% higher average order value compared to the overall average — suggesting higher engagement and a greater likelihood of repeat purchases.

In addition, the reduction in cart abandonment (from 78% to 52%) and the improvement in conversion rate to 4.2% indicated a more efficient and satisfying purchase journey, which typically correlates with higher retention over time.

We’re currently structuring more advanced cohort analyses to track repeat purchase rates more precisely, but the early data already shows a clear positive trend in customer engagement, purchase frequency, and overall loyalty.

Moreover, in the first 90 days after launch, we observed that approximately 30%–35% of customers made at least a second purchase within that period. Among users who registered a pet profile, this rate was noticeably higher, reinforcing the impact of personalization on repeat behavior.

We also identified that a meaningful portion of repeat purchases occurred within relatively short intervals — often within 2–4 weeks of the first purchase — especially for consumable products like food and hygiene items.

Although these numbers are still being validated with more structured tracking, they already indicate a strong early trend in customer retention and purchase recurrence compared to our previous model.

How did Mind Consulting perform from a project management standpoint?

They used agile management with biweekly sprints and incremental deliveries that allowed us to validate the shopping experience with real customers before the project was complete. The project manager was very present in product alignment meetings, always bringing benchmarking data from the industry to support UX decisions. We communicated via Slack, and they guaranteed a response within two hours during business hours. No deadline was missed throughout the six months of the project.

Moreover, when we requested a significant change to the pet registration flow in Sprint 4, the team replanned and delivered it without charging any additional hours, as they understood the improvement was genuinely beneficial to the final product.

What did you find most impressive about them?

Mind Consulting’s depth of understanding of consumer behavior in the pet market was impressive. The pet profile system — which seemed like a simple feature in the brief — was implemented with a far more sophisticated personalization logic than we expected, including seasonal recommendations (e.g., summer heat products), pet food restocking alerts based on the pet’s weight and historical purchase frequency, and curation of new products by species. This level of product thinking was only possible because the team truly understood our business.

Are there any areas they could improve?

The product review module for customers was delivered in a basic version in phase 1 — functional, but without features such as store responses, photos of pets with the purchased product, or Google Reviews integration. These features made a difference in niche e-commerce, where social proof was highly valued. However, they’re already on the phase 2 roadmap, and we’re planning the development together.

BACKGROUND

Introduce your business and what you do there.

I’m the digital commerce manager of an EdTech company that provides digital educational resources and content.

OPPORTUNITY / CHALLENGE

What challenge were you trying to address with Mind Consulting?

We were operating with an improvised solution for sales via payment links on Instagram and manual file delivery by email, which didn’t scale. Each sale required manual intervention from our team to release the download, causing delivery delays, errors, and very high operational costs.
Additionally, we had no member area for teachers to access past purchases, no reliable sales metrics, and no dashboard for content creators to track their commissions. We needed a professional platform that would automate the entire flow from payment to file delivery and evolve with our business model.

SOLUTION

What was the scope of their involvement?

Mind Consulting developed a full platform from scratch. The team built a digital store with Next.js featuring a catalog of materials, search by subject, grade level, activity type, and seasonal themes, product pages with material previews, and a review system by teacher-buyers.
Moreover, Mind Consulting created an automated purchase and delivery flow. After payment confirmation, the download was instantly released in the member area with no manual intervention. The team also built a secure download system with temporary and tracked links, preventing unauthorized sharing of PDFs.
Additionally, Mind Consulting developed a member area with purchase history, unlimited downloads of purchased materials, and favorites. The team also created a content creator dashboard with material upload, pricing configuration, sales tracking, commission statements, and payout requests via PIX.
Furthermore, Mind Consulting integrated payment with PIX, credit card, and processing via a gateway with automatic revenue split between the platform and creator. The team also built a coupon and promotions system for seasonal campaigns and an admin dashboard with sales analytics, most downloaded materials, revenue by category, and user management.

What is the team composition?

We worked with 10 teammates from Mind Consulting.

How did you come to work with Mind Consulting?

We found Mind Consulting through an online search. We chose them over other options because they had high ratings, their pricing fit our budget, they had a great culture fit, they offered good value for the cost, they were referred to me, and their company values aligned with ours.

What is the status of this engagement?

We worked with Mind Consulting from August 2024–January 2025.

RESULTS & FEEDBACK

What evidence can you share that demonstrates the impact of the engagement?

In the first 60 days after launch, we eliminated 100% of manual deliveries, and the entire payment and download release flow became automated. The average time between payment confirmation and download availability was eight seconds.
Moreover, we had a 44% repurchase rate within 45 days, and teachers who bought one material returned to purchase others from the same series. We also had a buyer NPS of 79 and 32 active content creators onboarded, producing materials and generating recurring revenue without team intervention.
Additionally, we processed 2,800 transactions in the first 60 days with zero file delivery failures. Our monthly revenue grew 3.4x compared to the previous manual process period, simply by removing purchase friction.
After the initial launch, we established a set of core KPIs to continuously monitor platform performance and guide decision-making. From a revenue and growth perspective, we tracked monthly revenue, average ticket size, conversion rate, and customer acquisition cost (CAC). We also closely monitored the repurchase rate and customer lifetime value (LTV), as they were critical indicators of long-term sustainability in a content marketplace.
On the operational side, we followed metrics such as payment approval rate, download success rate, and average time between payment confirmation and content access, ensuring the platform remained stable and frictionless. For the supply side, we tracked the number of active content creators, content upload frequency, revenue per creator, and creator retention rate. Maintaining a healthy and productive creator base was essential for marketplace growth.
Additionally, we monitored user behavior metrics like most viewed and most downloaded materials, search terms, and drop-off points in the purchase funnel. These insights helped us continuously optimize both the user experience and conversion performance over time.
We observed consistent improvements across several key KPIs as the platform matured, with some metrics showing particularly significant progress. The most notable gains were in conversion rate and repurchase rate. As we optimized the purchase flow and reduced friction, conversion rates increased steadily, while the repurchase rate remained strong and even grew over time — reinforcing the platform’s stickiness and the perceived value of the content.
We also saw meaningful improvements in average ticket size, driven by better product organization, cross-selling strategies, and the introduction of promotions and bundles. On the operational side, the payment approval rate improved as we refined the checkout experience and payment options, while the already fast download delivery time remained consistently stable, ensuring a reliable user experience.
From the supply perspective, the number of active content creators and their retention rate increased over time, which directly impacted the expansion of the catalog and overall revenue growth. Overall, the combination of higher conversion, stronger retention (both buyers and creators), and increased average ticket contributed most significantly to the platform’s sustained growth.

How did Mind Consulting perform from a project management standpoint?

Mind Consulting had impeccable organization throughout the six months. The project manager conducted the discovery phase in great depth, documenting each flow in Notion before development began. We had biweekly sprints with live demos.
What we valued most was their proactive communication. When they identified that the PDF preview system we had specified posed a risk of full content leakage in certain browsers, they came to us with the issue already documented and two alternative solutions ready for decision. This proactive approach — anticipating problems instead of just executing requests — made all the difference.

What did you find most impressive or unique about them?

Mind Consulting’s understanding of two-sided marketplace dynamics applied to digital content was impressive. They recognized that, in a platform like ours, the creator experience was just as important as the buyer experience. Without productive creators, there was no content, and without content, there were no buyers.
The creator dashboard was developed with the same level of UX care as the main store, featuring clear performance metrics, transparent statements, and simplified payouts. This was crucial for attracting and retaining top creators on the platform from launch.

Are there any areas they could improve?

The semantic search system — which would allow teachers to search for something like “addition activity for 2nd grade with an animal theme” and receive relevant results — was postponed to phase 2 due to complexity. The current tag and filter-based search worked well, but natural language search would be a major differentiator for our audience. We were already discussing its implementation with Mind Consulting.

BACKGROUND

Introduce your business and what you do there.

I’m the product manager of Resolve Já Brasil Tecnologia, a home services marketplace.

OPPORTUNITY / CHALLENGE

What challenge were you trying to address with Mind Consulting?

The home services market in Brazil is highly fragmented, informal, and historically driven by word-of-mouth referrals — which excludes service providers without an existing network and leaves homeowners dependent on unknown professionals with no guarantees whatsoever. We needed to build from scratch a digital platform that would digitize this entire chain: provider registration and verification (ID, background checks, certifications), a service request system with geolocation-based matching by category and availability, a competitive quoting flow, a verified post-service review system, and escrow payments released only after the client confirms completion. The central technical challenge was delivering a seamless experience for two very distinct user profiles — the homeowner (who wants simplicity) and the service provider (who needs professional tools for schedule and billing management) — within a single cohesive, scalable ecosystem.

SOLUTION

What was the scope of their involvement?

Mind Consulting built the entire platform from scratch, with no ready-made or white-label solutions. They handled the full end-to-end scope — it was never just development. From the outset, they were involved in every layer of the project. On the design side, their UX/UI designer ran user research sessions with real homeowners and service providers before producing a single wireframe. That research directly shaped the product decisions throughout development, and it’s reflected in outcomes like the 84% of clients who spontaneously cited the verified review system as their primary trust signal — that kind of result doesn’t come from a team that only writes code.

Infrastructure was also entirely their responsibility. They architected and configured the full AWS environment, including PostGIS for geospatial queries and Redis for real-time matching cache. One of the more tangible outcomes of that work was an AWS infrastructure cost that came in 28% below our initial projections — a direct result of the architectural decisions they made, not off-the-shelf defaults.

The ongoing support piece is worth clarifying with some nuance: the engagement was scoped as a product build, not a managed service retainer. That said, they were never the type of team to hand over a ZIP file and disappear. Throughout the seven months, every sprint included live demos and structured retrospectives, and any issue that surfaced — including the performance risk identified in Sprint 5 around geolocation matching under high provider density — was proactively flagged and resolved by them before it became our problem to manage. The codebase they delivered has test coverage above 80% and complete technical documentation in Confluence, which made post-launch operations significantly easier on our end.

To answer directly, design, development, and infrastructure were all within scope and fully delivered. Ongoing support in the traditional sense was not part of the original contract, but the quality and transparency of how they worked made the transition to independent operation smooth.

Specifically, Mind Consulting delivered: (1) a responsive web portal in Next.js for end clients, featuring category and geolocation search (Google Maps API), a structured service request form by demand type, a quote comparison system, and verified provider reviews; (2) an iOS and Android mobile app (React Native) for both clients and providers, with real-time push notifications for new requests, quote acceptance, status updates, and completion confirmation; (3) a provider web dashboard with full schedule management, active and historical job tracking, a map of open requests in their service area, payment statements, and fiscal documents; (4) a geolocation-based matching system with a prioritization algorithm based on distance, availability, rating, response time, and review volume; (5) an escrow payment system integrated with Stripe and PIX, holding funds until service confirmation and automatically releasing payment to the provider after client review; (6) a provider verification module: ID validation, criminal background check integration, and qualification certificate upload; (7) a robust review system with a photo of completed work, overall rating, and criteria-specific evaluations (punctuality, quality, communication, cleanliness); (8) an internal admin dashboard with category management, registration moderation, request analytics, active coverage map, and NPS indicators by city; and (9) AWS cloud infrastructure with auto-scaling, PostgreSQL database with PostGIS for geospatial queries, and Redis for real-time matching cache.

What is the team composition?

We worked with 6–10 teammates from Mind Consulting.

How did you come to work with Mind Consulting?

We found them through an online search. We chose them over other options because they had high ratings, their pricing fit our budget, they had a great culture fit, they offered good value for the cost, they were referred to me, and their company values aligned with ours.

What is the status of this engagement?

We worked together from August 2024–February 2025.

RESULTS & FEEDBACK

What evidence can you share that demonstrates the impact of the engagement?

The marketplace launched on schedule, without delays, and with zero critical bugs recorded in the first 30 days of operation. In the two months following go-live, we achieved the following results: 1,840 registered and verified service providers across six main categories; 9,200 clients registered organically, with no paid media investment; 3,100 service requests generated, with a quote acceptance conversion rate of 62% — above our 50% target; average time between request opening and first quote received of 14 minutes, reflecting strong active provider density on the platform; client NPS after service completion of 71, considered excellent for a new marketplace. Technical performance was equally solid: average app load time of 1.1 seconds, uptime of 99.96% in the first 60 days, and AWS infrastructure cost 28% below initial projections thanks to the team's efficient architecture. The verified review system — which requires a photo of the completed work as evidence — was spontaneously cited by 84% of clients as the primary reason for trusting the platform.

Honestly, the quantitative results met or exceeded every target we had set going into launch — conversion rate, provider density, NPS, infrastructure cost, and uptime all came in at or above our projections. So in terms of hard metrics, there were no shortfalls.

How did Mind Consulting perform from a project management standpoint?

The project management was exemplary in every respect. We used an agile methodology with Scrum 2-week sprints, and well-structured ceremonies: planning, async daily standups via Slack, sprint reviews with live demos of developed features, and biweekly retrospectives. The PM maintained a quarterly roadmap updated in real time on Notion, with epics, user stories, and detailed acceptance criteria — which greatly facilitated alignment between the technical and product teams. All communication was handled transparently: when they identified a performance risk in Sprint 5 related to geolocation matching queries under high provider density, the architect presented that same week a technical analysis comparing three PostGIS indexing approaches, including cost, development time, and user experience impact. We chose the best solution together, and the adjustment was implemented without any impact on the overall schedule. No deliverable was made with hidden technical debt — the delivered code has test coverage above 80% and complete technical documentation in Confluence.

What did you find most impressive about them?

Two aspects stood out remarkably. The first was their maturity in two-sided marketplace design: they understood from the outset that a home services marketplace needs to solve the chicken-and-egg problem — you need providers to attract clients, and you need clients to attract providers. The PM proposed a pilot-neighborhood onboarding strategy (rather than a city-wide launch) that significantly increased active provider density in the launch area and generated the first conversions within 48 hours of go-live.

The second was the quality of the provider experience: most marketplace platforms in Brazil treat the supply side as secondary. Here, the provider app received the same UX care as the client app — with an intuitive dashboard, smart notifications, and schedule management tools that increased provider response rates by 40% in the first 30 days.

Are there any areas they could improve?

The chat module between client and provider, available after quote acceptance, was delivered in a functional but relatively basic version in the first phase. In an in-person services marketplace, pre-execution communication is critical for aligning details, materials, and arrival time. We’re already developing version 2.0 with real-time chat, photo sharing, and live provider location tracking during transit. The team delivered exactly what was in the agreed scope — it simply would’ve been even better to prioritize this module in phase 1.

BACKGROUND

Introduce your business and what you do there.

I’m a senior attorney and project lead at LawrAI Legal Technology, a legal technology and AI-powered legal automation company.

OPPORTUNITY / CHALLENGE

What challenge were you trying to address with Mind Consulting?

We needed help building a highly accurate NLP for the Brazilian legal context with specific technical vocabulary and complex legislation. Additionally, we needed bank-level security for confidential documents, integration with BNMP and CNJ, and an intuitive UX for non-technical lawyers.

SOLUTION

What was the scope of their involvement?

Mind Consulting developed an AI engine with fine-tuning of GPT-4 and Claude 3 on a legal dataset of 50,000 annotated clauses. They also created an extraction pipeline to upload documents (PDF, Word, OCR image) and process them through NLP to identify clauses, parties, deadlines, and risks. The team also built an intelligent contract comparison tool, a draft generator with parameterizable templates, and a dashboard with semantic search. Moreover, Mind Consulting integrated the platform with DocuSign and ClickSign, ensured LGPD compliance and access auditing, and created an API for PJe, SAJ, and Processo.rio.

What is the team composition?

We worked with 10 teammates from Mind Consulting.

How did you come to work with Mind Consulting?

We found Mind Consulting through an online search. We chose them over other options because they had high ratings, their pricing fit our budget, they had a great culture fit, they offered good value for the cost, they were referred to me, and their company values aligned with ours.

What is the status of this engagement?

We worked together from January–August 2024.

RESULTS & FEEDBACK

What evidence can you share that demonstrates the impact of the engagement?

Mind Consulting's work achieved 94% accuracy on standard clauses and 87% on atypical ones. The platform's contract analysis time went from 4 hours to 7 minutes. After three months, we had 180 law firms, BRL 85,000 (approximately $16,000) in MRR, and a rating of 4.9/5. We also signed a contract with one of Brazil's top 20 law firms.Before development began, we aligned on three core KPI categories that would define success: user growth, service reliability, and retention. On user adoption, our six-month target was to reach 100 verified law firms actively using the platform. 
We exceeded that, closing the period with 180 firms onboarded — 80% above target. Within those firms, we tracked individual lawyer activation, setting a benchmark of at least three active users per firm within the first 30 days of onboarding. The actual average came in at 4.7 active users per firm, which validated that adoption was happening beyond the single champion who signed the contract.For SLA and reliability, given that lawyers often work against tight procedural deadlines, we required a minimum uptime of 99.9% and a contract analysis response time under 10 seconds for documents up to 50 pages. Both targets were met from day one of production: uptime held at 99.97% across the first 90 days, and average processing time landed at 7 seconds — with a p95 of under 12 seconds even during peak load. We also set a support response SLA of four business hours for critical issues. The team built a monitoring dashboard that flagged any SLA breach in real time, which gave us full visibility without needing to chase status updates.
Retention was the KPI we were most anxious about since legal software historically has high churn in the first 90 days due to adoption friction. We set a 90-day retention target of 75% for onboarded firms. We ended at 89%. The software house's focus on UX — particularly the onboarding flow they designed with input from the 15 lawyer interviews done in discovery — made a direct and measurable difference here. Firms that completed the guided onboarding had a 94% retention rate vs. 71% for those who skipped it, which became a key insight for our customer success process going forward.
We tracked retention across three complementary dimensions, which gave us a much more honest picture than a single metric would. The primary metric was the subscription renewal rate at the 90-day mark since our SaaS model runs on monthly contracts with the option to cancel at any time. A firm was considered "retained" if they reached day 90 with an active subscription and had logged in at least once in the final 30 days of that window. This excluded firms that were technically subscribed but dormant — a distinction that matters a lot in B2B software, where a contract can stay active long after real usage has stopped. By that definition, our 90-day retention was 89%.The second dimension was the weekly active firm rate — meaning at least one user per firm performed a core action (uploading a contract, running an analysis, or generating a draft) within any given week. We targeted 60% of onboarded firms being active on a weekly basis by month three. We landed at 67%, which indicated that the platform had become part of the actual workflow, not just a tool people tried once.The third was more qualitative: expansion within firms. We tracked whether the number of active seats per firm grew between month one and month three. 
Firms that started with 1–2 active users and expanded to 4 or more were flagged as "deeply retained" because seat expansion in a law firm typically means the tool moved beyond the early adopter to the broader team. 41% of our retained firms fell into this category by month 3, which was one of the most encouraging signals we saw in the early data. Together, these three metrics gave us confidence that retention wasn't just a billing artifact — it reflected genuine, recurring value being delivered to the firms using the platform.Both figures came from a structured evaluation process that combined automated testing and manual expert review — we didn't rely on either alone because each has blind spots in the context of legal NLP. The process worked in three stages. 
First, we built a holdout evaluation set of 620 real contracts — anonymized and never used during training — that were manually annotated by three senior lawyers on our team. Each clause was labeled by type, flagged for risk level, and tagged with the relevant legal instrument it referenced. This became our ground truth. The software house's ML team had no access to this dataset until evaluation day, which was a hard rule we enforced together.Second, the model's outputs on that holdout set were scored automatically using precision, recall, and F1 metrics per clause category. This gave us fast, reproducible numbers across all 38 clause types we were targeting. The 94% figure on standard clauses — things like payment terms, termination clauses, and confidentiality — came directly from this automated layer.
Third, for atypical clauses — non-standard drafting, unusual liability allocations, jurisdiction-specific carve-outs — the automated score alone wasn't sufficient because the ground truth itself requires legal interpretation. So we ran a manual blind review: two lawyers evaluated 150 randomly sampled model outputs on atypical clauses without knowing whether an AI or a human had produced the classification. Inter-rater agreement between the model and the lawyers reached 87%, which became our reported figure.
One thing the software house insisted on that we really valued: they separated precision from recall in the reporting. A model can hit 94% precision by being conservative — only flagging clauses it's very confident about and ignoring edge cases. They made sure we understood the recall numbers too, meaning how many actual clauses the model correctly identified versus missed. For a legal tool where missing a problematic clause is worse than over-flagging, that distinction matters enormously, and it shaped how we tuned the confidence thresholds before going live.
Our Customer Success team ran a structured time-study before and after deployment. Prior to go-live, they shadowed five lawyers across three different firm sizes as they performed their standard contract review workflow, timing each stage manually — document ingestion, clause identification, risk flagging, and summary preparation. Those sessions established our 4-hour baseline, which aligned closely with what lawyers had self-reported during the pre-sales discovery phase.After deployment, CS embedded a passive timer into the platform itself: the clock starts when a document is uploaded and stops when the lawyer confirms the AI-generated analysis and exports the report. This gave us objective, session-level data for every contract processed — no self-reporting, no recall bias.
The 7-minute figure is the median session time across the first 300 contracts analyzed on the platform, pulled directly from that log. We intentionally use the median rather than the mean to avoid skew from unusually short or complex documents. CS also segmented the data by contract length and complexity tier to confirm the improvement held consistently — it did, ranging from 5 minutes on straightforward NDAs to around 12 minutes on multi-party agreements exceeding 80 pages.One nuance CS was careful to flag: the 7 minutes reflects AI-assisted analysis time, not total lawyer time. 
Lawyers still spend additional time on strategic review and client communication — but the mechanical, repetitive portion that the platform handles dropped from the dominant cost to a negligible one.

How did Mind Consulting perform from a project management standpoint?

We had biweekly technical reviews to maintain alignment between the ML roadmap and legal needs. When the initial model showed low accuracy on surety bond clauses, the team delivered a retraining strategy within two weeks without impacting the overall timeline.

What did you find most impressive or unique about them?

Mind Consulting's scientific rigor in model development was impressive. They defined precision metrics upfront, used a test set with real cases, and delivered only after benchmarks were met. This provided genuine confidence for legal decisions.

Are there any areas they could improve?

The analytical report export system could have been more complete in version 1.0. We're developing version 2.0 with more customization, but clients requested it from the start.

BACKGROUND

Introduce your business and what you do there.

I’m the CEO and founder of Alert B3 Tecnologia Financeira, a financial services company.

OPPORTUNITY / CHALLENGE

What challenge were you trying to address with Mind Consulting?

We needed a robust platform capable of processing real-time market data with minimal latency below 500ms, delivering push and email notifications at the exact moment user-configured conditions were met, including price variation, abnormal volume, moving average crossovers, or relevant news alerts. Existing solutions on the market were generic, expensive, and lacked customization for B3's unique environment.

SOLUTION

What was the scope of their involvement?

Mind Consulting developed a 100% custom solution from scratch, including a scalable Node.js backend with microservices architecture and stream processing via WebSockets connected to the B3 API. The team also built a parameterizable rule engine for alerts by asset, sector, index, or portfolio; an analytical dashboard in React.js with real-time visualizations using D3.js and Recharts; and multi-channel notifications via Firebase, SendGrid, and Twilio. Moreover, Mind Consulting created a backtesting module for historical strategy validation and an AWS cloud infrastructure with auto-scaling, Redis, and PostgreSQL. The team also delivered enterprise-level technical documentation.

What is the team composition?

We worked with 6–10 teammates from Mind Consulting.

How did you come to work with Mind Consulting?

We found Mind Consulting through an online search. We chose them over other options because they had high ratings, their pricing fit our budget, they had a great culture fit, they offered good value for the cost, they were referred to me, and their company values aligned with ours.

What is the status of this engagement?

We worked together from January–July 2024.

RESULTS & FEEDBACK

What evidence can you share that demonstrates the impact of the engagement?

We launched the platform on schedule. Within 30 days, we had 1,200 organically registered users, an average alert latency of 280ms, a beta NPS of 78, and an infrastructure that supported peaks of 8,000 requests/second without instability. We also had a 30-day retention rate of 71% (vs. 58% industry benchmark).

How did Mind Consulting perform from a project management standpoint?

Mind Consulting used an agile methodology with two-week sprints, Jira, Confluence, Slack, and weekly reviews via Google Meet. The product owner was proactive in anticipating risks and communicating scope deviations before they became real problems. The team had impeccable communication throughout the project. Moreover, Mind Consulting delivered on time.

What did you find most impressive about them?

Mind Consulting's technical quality, combined with their business understanding, was impressive. The team proposed using Redis Streams for market data processing, which reduced infrastructure costs by 60% compared to the initial estimate. The technical documentation delivered was of enterprise standard.

Are there any areas they could improve?

We could've started DevOps and CI/CD conversations earlier. The team adjusted quickly, but an extra week of infrastructure planning would've optimized the initial deployment.