Pinnasys

BACKGROUND

Please describe your company and position.

I am the Director of Marketing & Communications of a health center. 

Describe what your company does in a single sentence.

Delivering comprehensive primary care, dental services and behavioral health programs forms the foundation of community wellness efforts. Clinical teams support families through preventive health screenings, chronic disease management and specialized maternal care options. Strategic communication initiatives focus on spreading health awareness, increasing patient access, and connecting underserved populations with affordable treatment.

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire Pinnasys to accomplish?

• Deploying an intelligent patient outreach tool to deliver personalized appointment reminders across digital channels guided this choice.
• Improving community engagement by delivering targeted health education content through mobile messaging formed a central focus.
• Increasing patient attendance rates for routine checkups and immunizations spurred the collaboration.

SOLUTION

How did you find Pinnasys?

Online Search

Why did you select Pinnasys over others?

• Pricing fit our budget
• Company values aligned

How many teammates from Pinnasys were assigned to this project?

2-5 Employees

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

Work started with an evaluation of existing communication channels, patient notification logs, and outreach workflows. Following that discovery phase, PinnaSys constructed a tailored patient engagement framework designed to distribute interactive SMS reminders and health tips. Connecting the communication software with internal electronic health records proceeded smoothly, although setting up bilingual message templates for diverse patient demographics took several additional days during initial testing.

RESULTS & FEEDBACK

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

Appointment no-show rates dropped noticeably within two months of launch. Patient responses to preventative screening reminders increased significantly, leading to higher clinic attendance. Removing repetitive manual phone calls freed administrative personnel to focus on in-person patient check-ins and front-desk care.

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

Project execution followed a structured path, featuring transparent weekly progress reports from technical managers. Milestones were completed right on schedule, enabling marketing and clinical teams to roll out communication features smoothly. Whenever team leads submitted requests for template modifications, their developers delivered updated builds within short timeframes.

What was your primary form of communication with Pinnasys?

Email or Messaging App

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

The adaptability of their patient engagement system impressed marketing directors right away. Seeing the software parse patient interaction data and send relevant, empathetic health reminders brought tremendous value. Partnering with a technical team that grasps both community healthcare dynamics and modern digital communication creates a distinct advantage.

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

Navigating strict healthcare data privacy regulations and compliance standards demands careful verification before sending patient communications. Ensuring every message template met patient confidentiality rules took extra time during initial setup. Establishing dedicated compliance review sessions earlier in the timeline would help speed up campaign rollouts for healthcare organizations.

BACKGROUND

Please describe your company and position.

 I am the Information Technology Administrator of a real estate company 

Describe what your company does in a single sentence.

Transforming obsolete industrial properties into sustainable commercial and logistics hubs forms the baseline of corporate activities. Specialized teams oversee site acquisition, environmental remediation, and master-planned real estate development across major urban markets.
Sustainable infrastructure design and long-term asset management ensure redeveloped sites support modern supply chain demands. Modernizing internal server architecture helps administrative staff handle complex real estate transactions securely.

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire Pinnasys to accomplish?

• Upgrading decentralized cloud servers to improve data access across regional real estate management offices prompted this partnership.
• Securing sensitive tenant records and financial transaction archives behind encrypted cloud partitions guided project scoping.
• Cutting system downtime during high-volume property acquisition cycles served as a key priority for leadership.

SOLUTION

How did you find Pinnasys?

Online Search

Why did you select Pinnasys over others?

• Pricing fit our budget
• Good value for cost

How many teammates from Pinnasys were assigned to this project?

2-5 Employees

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

Technical collaboration started with an extensive audit of local physical servers, network firewalls, and real estate data repositories. Following that infrastructure review, PinnaSys designed a phased cloud migration plan to transfer active databases into a unified cloud environment.
Moving legacy property records proceeded without data loss, though configuring custom permission layers for regional leasing leads added several days of network calibration during initial testing phases.

RESULTS & FEEDBACK

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

System responsiveness across regional offices improved dramatically right after deployment, cutting document retrieval speeds in half. Network uptime reached optimal levels, giving property managers instant access to tenant files during lease negotiations. Removing outdated local hardware lowered routine maintenance overhead, freeing internal IT staff to focus on cybersecurity training and end-user support.

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

Project updates flowed smoothly through regular weekly syncs with technical team leads. Deliverables landed consistently on target, allowing system migrations to occur outside core business hours without disrupting daily leasing tasks. Whenever IT staff submitted tickets regarding database access tokens, their support engineers provided clear technical guidance within minutes.

What was your primary form of communication with Pinnasys?

Email or Messaging App

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

The thoroughness of their cloud architecture design impressed executive leadership right from kickoff. Seeing their engineers migrate complex real estate files securely without causing system downtime gave the IT department immense confidence. Partnering with a software group capable of executing high-stakes cloud migrations adds tremendous value to enterprise IT operations.

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

Transitioning legacy database structures into cloud systems takes careful mapping and data verification. Certain historical file formats from acquired properties demanded unexpected manual cleanup before upload. Providing a dedicated data pre-formatting toolkit prior to migration would help internal IT administrators organize older archives much faster.

BACKGROUND

Please describe your company and position.

I am the Senior Product Manager of commercetools

Describe what your company does in a single sentence.

commercetools is the leading enterprise commerce platform, helping global businesses increase revenue and performance across every channel.

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire Pinnasys to accomplish?

We had been iterating on our AI-powered search and visual discovery algorithms, but we didn't have a reliable, high-quality dataset to actually benchmark them against. Internal testing only gets you so far when you are trying to validate search relevance and visual product matching at enterprise scale, we needed something closer to ground truth.

SOLUTION

How did you find Pinnasys?

Online Search

Why did you select Pinnasys over others?

• Pricing fit our budget
• Great culture fit
• Good value for cost

How many teammates from Pinnasys were assigned to this project?

2-5 Employees

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

We brought Pinnasys on for a focused data annotation pilot. The work covered tagging 10,000 raw text descriptions for core product attributes like brand, material, color, and style, drawing bounding boxes and labeling primary products across 3,000 lifestyle images, and verifying and mapping all 10,000 items into our standardized multi-level e-commerce taxonomy.
On top of that, they ran a two-pass human review process to hit a 98% accuracy target on the final dataset, since a benchmark dataset is only useful if it is actually reliable.

RESULTS & FEEDBACK

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

The full dataset came together within the two-month timeline, and spot checks on our end confirmed the 98% accuracy target held up. Having a proper gold-standard set gave our ML team something concrete to actually measure search and visual discovery performance against, instead of relying on internal, less rigorous testing. It is already fed into a couple of model iteration cycles since delivery.

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

This was a shorter, tighter engagement, so we kept communication simple. A kickoff call to align on labeling standards and taxonomy definitions, then progress updates over email as batches were completed and QA'd.
I managed the project from our side, coordinating directly with our ML team who would be using the dataset once it was delivered. Pinnasys ran it with a project coordinator managing batch delivery and a small annotation team handling the labeling work, with a QA lead overseeing the consensus review pass.

What was your primary form of communication with Pinnasys?

• Virtual Meeting
• Email or Messaging App

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

What impressed me was how disciplined they were about taxonomy edge cases. E-commerce category mapping gets messy fast when products don't fit neatly into one bucket, and rather than forcing everything into the nearest category, their team flagged ambiguous cases for us to weigh in on directly, which kept the dataset genuinely clean instead of technically complete but inconsistent underneath.

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

Image tagging did fall a bit behind the text and taxonomy work initially, since bounding box labeling took more calibration time than expected to get consistent across our lifestyle image set. It caught up well before the final deadline.

BACKGROUND

Please describe your company and position.

I am the VP of AI Strategy of Alokai

Describe what your company does in a single sentence.

Alokai (previously Vue Storefront) is a Frontend as Service (FEaaS) for composable commerce, guiding merchants to focus on what matters most - customer experience - as this is what drives the revenue.

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire Pinnasys to accomplish?

• we work with merchants who are often sitting on legacy monolithic frontends, JSP or PHP templates, tangled JavaScript, years of accumulated markup, that need to move onto composable, type-safe architecture without a full rebuild from scratch. Doing that migration manually is slow and expensive for our clients, and we wanted a way to automate a meaningful chunk of the refactoring work rather than relying entirely on manual engineering hours.

SOLUTION

How did you find Pinnasys?

Online Search

Why did you select Pinnasys over others?

• Pricing fit our budget
• Great culture fit
• Good value for cost
• Company values aligned

How many teammates from Pinnasys were assigned to this project?

2-5 Employees

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

Pinnasys built us an AI agent specifically for this: a legacy-to-composable migration agent that parses raw legacy codebase files, breaks the structure down into clean atomic UI components like product cards and navigation bars, refactors that markup into modern TypeScript using our Storefront UI templates, and binds the resulting components directly to our middleware schema. It also ran static analysis on generated code to catch syntax issues before anything reached human review. We were deliberate about keeping production deployment, legacy backend hosting, complex custom business logic, and full visual regression testing out of the agent's hands, those needed to stay under direct engineering control.

RESULTS & FEEDBACK

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

The agent now handles somewhere around 70% of the manual refactoring work on a typical legacy migration, which was the target we set going in, and the components it generates map cleanly to our middleware schema without much manual rework needed afterward. We have since run it against a handful of real client codebases, and the time savings on the initial refactoring pass alone has been substantial compared to doing it fully by hand.

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

Given how technical this build was, our engineering team stayed closely involved throughout, with structured check-ins roughly weekly and shared repos for reviewing generated output as it came in. I oversaw the project from our side, working with two of our senior frontend engineers who validated the agent's output against real client codebases as we went. Pinnasys put an AI agent architect on the build along with two engineers focused on the code generation and data-layer binding logic specifically. Having engineers who understood both agent frameworks and frontend architecture mattered here, this was not a generic automation build.

What was your primary form of communication with Pinnasys?

• Virtual Meeting
• Email or Messaging App

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

What stood out to me was how well Pinnasys handled the ambiguity in legacy code. Old monolithic templates are rarely consistent, and the agent's architectural mapping logic held up surprisingly well across different coding styles and structures rather than only working on clean, predictable input.

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

One thing worth noting. The early versions of the agent occasionally over-fragmented components, breaking things into pieces that were technically atomic but not practical to maintain. That got tuned within the first few weeks once we gave more feedback on what "clean" actually meant for our use case, but it is worth expecting some calibration early on for a build this specialized.

BACKGROUND

Please describe your company and position.

I am the Senior Director of Data and Engineering of Skillshare

Describe what your company does in a single sentence.

Skillshare is an online learning community with thousands of inspiring classes for creative and curious people, on topics including illustration, design, photography, video, freelancing, and more. 

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire Pinnasys to accomplish?

• a lot of our student-facing operations were still tangled up in manual processes that didn't match how big our platform had become. Enrollment verification involved staff manually checking transcripts and IDs, course completion certificates were generated and issued by hand, and long-term student record storage, grades, financial aid records, disciplinary files, didn't have a clean, compliant system behind it. It worked when we were smaller, but it wasn't holding up.

SOLUTION

How did you find Pinnasys?

Online Search

Why did you select Pinnasys over others?

• Pricing fit our budget
• Great culture fit
• Good value for cost

How many teammates from Pinnasys were assigned to this project?

2-5 Employees

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

Pinnasys handled three main pieces for us. First, digital onboarding: a secure system to capture, verify, and store student IDs, transcripts, and enrollment forms without staff manually processing each one. Second, automated certificate generation, where completion certificates are generated and secured through digital signatures once a student finishes a course, instead of someone on our team creating and sending them individually. Third, a compliant long-term archiving system for student grades, financial aid applications, and disciplinary records that could hold up to whatever audit or compliance need came up down the line.

RESULTS & FEEDBACK

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

The build came together over roughly three months. Since rollout, our onboarding team has stepped almost entirely out of manual document verification, and certificate issuance now happens automatically the moment a student completes a course instead of sitting in a queue for staff to process. The archiving system has also made pulling historical student records for compliance requests far faster than digging through our old, less organized storage.

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

We handled day-to-day communication over email, with recurring calls roughly every other week to review progress against milestones. I led the project on our side as Senior Director of Data and Engineering, working with one of our data engineers who handled integration on our internal student database. Pinnasys assigned a project lead who managed the overall build, a backend developer who handled the document capture and verification system, and a specialist who set up the certificate generation and digital signature piece specifically.

What was your primary form of communication with Pinnasys?

• Virtual Meeting
• Email or Messaging App

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

Their handling of the certificate security piece was what stood out most to me. Getting digital signatures set up correctly so certificates are genuinely tamper-evident isn't trivial, and their specialist clearly understood the space rather than bolting on a generic e-signature tool and calling it done.

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

The one thing worth mentioning is the initial data migration from our legacy storage took longer than expected, mostly because our old records weren't as cleanly structured as we assumed going in. Not really something Pinnasys could've predicted upfront, but worth budgeting extra time for if your existing records are messy.

BACKGROUND

Please describe your company and position.

I am the CTO of Nourish

Describe what your company does in a single sentence.

Nourish is addressing the root cause of the chronic disease crisis through AI-powered, insurance-covered virtual nutrition care.

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire Pinnasys to accomplish?

• At Nourish, our virtual nutrition care model only works if we can actually see a patient's clinical history without making them re-enter it or forcing our team to chase down records by hand. Interoperability was our real bottleneck, no clean way to pull from hospital EHR systems, sync with insurers, or onboard employer accounts without a lot of manual back-and-forth. That is a hard position to be in when your whole pitch is a better patient experience, not more paperwork.
• Pinnasys took on building a full healthcare interoperability gateway for us.

SOLUTION

How did you find Pinnasys?

Online Search

Why did you select Pinnasys over others?

• Pricing fit our budget
• Great culture fit
• Good value for cost

How many teammates from Pinnasys were assigned to this project?

2-5 Employees

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

Thescope covered bi-directional EHR sync pipelines, a FHIR R4/R5 conversion layer so we could speak a universal standard instead of stitching together one-off integrations per hospital, an automated enrollment gate for our B2B employer accounts, SMART on FHIR identity security using OAuth 2.0, immutable audit logging to stay HIPAA-compliant, and a sandboxed developer portal for external partners. UI styling, hospital contract negotiations, and legacy database migration stayed off the table on purpose, those needed to sit with our internal team and legal.

RESULTS & FEEDBACK

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

The project stayed on the six-month timeline, with the audit logging and identity layer wrapping early and the EHR sync pipelines taking up most of the remaining time given how much variation exists across different hospital systems' individual EHR setups. Manual data entry during patient onboarding has dropped substantially since launch, and employer enrollment, which used to need manual setup on our end, now runs automatically start to finish. The FHIR layer has also cut down the time it takes us to bring new hospital and insurer connections online compared to our old approach.

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

Given the compliance stakes, we structured this in sprints with regular architecture reviews over Zoom, roughly every two weeks, and a Jira board dedicated to tracking FHIR mapping specifically since that piece touched the most moving parts. I stayed involved directly as CTO, alongside one of our backend engineers who owned the internal side of the EHR sync. On Pinnasys's end, a solutions architect owned the overall gateway design, two backend engineers handled the FHIR conversion and sync pipelines, and a security engineer built out the SMART on FHIR implementation and audit logging. Having security treated as its own dedicated role, not folded into general backend work, made a real difference on a project like this.

What was your primary form of communication with Pinnasys?

• Virtual Meeting
• Email or Messaging App

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

Their depth on FHIR specifically stood out. Plenty of vendors say they've done healthcare interoperability work, but few have actually dealt with how inconsistently different EHR systems implement the standard in practice. Pinnasys clearly had experience, and it spared us a lot of trial and error we would have hit building this ourselves.

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

Syncing with certain hospital systems' own integration requirements added some back-and-forth that pushed a couple of sprints past the original estimate, though that had more to do with those external systems' processes than anything on Pinnasys's side. All in, this was a technically rigorous build, and the gateway has held up well in production since going live.

BACKGROUND

Please describe your company and position.

I am the People & Culture Manager of an insurance company 

Describe what your company does in a single sentence.

Providing commercial insurance broking, niche risk solutions, and corporate risk advisory forms the baseline of operations. The business supports commercial clients, underwriting partners, and industry specialists with tailored policy placement and claims management. Strategic focus centers on mitigating complex enterprise risks and maintaining seamless HR operations across expanding regional teams. Delivering custom risk transfer strategies helps corporate clients protect valuable assets effectively.

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire Pinnasys to accomplish?

• Implementing a smart recruitment screening setup to match candidates against specialized insurance roles led to this partnership.
• Ranking incoming resume submissions against internal competency frameworks formed a major focus for HR leadership.
• Speeding up early-stage hiring cycles for senior underwriting and broker positions guided the project scope.

SOLUTION

How did you find Pinnasys?

Online Search

Why did you select Pinnasys over others?

• Pricing fit our budget
• Good value for cost

How many teammates from Pinnasys were assigned to this project?

2-5 Employees

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

Collaboration began with a thorough review of historical hiring records, job specifications, and talent assessment criteria. Following that evaluation, PinnaSys created a tailored AI candidate screening engine designed to evaluate applicant profiles and surface top talent. Connecting the recruitment software with internal HR applicant databases proceeded smoothly, although normalizing past job descriptions across different regional branches added a few days of data preparation before full deployment.

RESULTS & FEEDBACK

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

Shortlisting qualified candidates for specialized risk roles became significantly faster within weeks of rollout. Interview conversion rates improved noticeably, as recruiters spend time engaging top-tier talent rather than reviewing irrelevant resumes. This software release removed hours of administrative resume filtering, allowing talent acquisition specialists to focus on candidate engagement and culture building.

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

Project management was handled with clear focus, featuring structured weekly updates and direct progress tracking. Technical leads delivered key milestones right on target, ensuring talent acquisition workflows continued without interruption. Whenever HR staff asked for clarification regarding screening scoring algorithms, their engineering leads answered promptly with clear, actionable explanations.

What was your primary form of communication with Pinnasys?

Email or Messaging App

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

The precision of their recruitment engine impressed senior stakeholders during initial trials. Watching the system rank candidates accurately based on specialized insurance qualifications gave the leadership team immense confidence. Partnering with a software team that builds practical, high-impact HR technology provides a strong advantage in attracting top-tier industry talent.

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

Preparing historical resume datasets and standardizing unstructured HR files took longer than anticipated during early setup phases. Cleaning old candidate records required extra hands-on effort before feeding data into the screening model. Providing more detailed guidelines on data formatting prior to kickoff would help HR teams organize legacy files much faster.

BACKGROUND

Please describe your company and position.

 I am the Marketing Executive of a financial services company 

Describe what your company does in a single sentence.

Running a financial media and publishing business focuses on delivering corporate finance, credit market, and commercial banking insights. We produce specialized financial publications, host industry summits, and share digital news content for financial professionals across Europe. Our organization connects banking leaders, institutional investors, and risk executives with actionable market intelligence.

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire Pinnasys to accomplish?

• Integrating a generative AI system to draft initial market summaries from raw financial press releases served as our main goal.
• Establishing a smart content tool to synthesize event transcripts into digestible executive briefs for subscribers guided the initiative.
• Accelerating content turnaround times for our digital editorial team drove the decision to partner with them.

SOLUTION

How did you find Pinnasys?

Online Search

Why did you select Pinnasys over others?

• Great culture fit
• Good value for cost

How many teammates from Pinnasys were assigned to this project?

2-5 Employees

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

Our work together began with a review of editorial workflows, publication archives and market news feeds. Following that evaluation, PinnaSys created a tailored generative AI content engine designed to process financial reports and produce structured draft summaries. Connecting their software into our content management setup went smoothly, though fine-tuning the model to adopt specific financial jargon took a few extra days during early trials.

RESULTS & FEEDBACK

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

Drafting speed for daily financial news updates increased by roughly forty percent following launch. Editorial staff publish event summaries much faster now, allowing our media group to cover market developments practically in real time. This deployment removed a lot of repetitive writing work, giving our journalists more time to conduct deep-dive interviews with industry leaders.

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

Project coordination remained efficient throughout the build, with their team sharing progress reports via brief weekly check-ins. Every deliverable arrived on schedule, allowing us to roll out the editorial tools without disrupting ongoing publishing deadlines. Their engineers answered technical questions quickly, providing helpful guidance whenever our web developers had queries about server API connections.

What was your primary form of communication with Pinnasys?

Email or Messaging App

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

The quality and coherence of their generative AI solution have impressed our editorial directors right away. Watching the system turn raw financial disclosures into structured, readable article drafts in seconds gave us total confidence in the software. Partnering with an engineering team that builds practical, high-precision content generation tools gives our publishing house a distinct advantage.

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

One challenge we noticed early on is that generative AI models can occasionally produce minor factual inconsistencies or awkward phrasing when handling complex financial metrics. If financial reports contain uncommon terms, draft text can vary in quality, meaning human editors must carefully review every piece before publication. Implementing stricter context guardrails during initial training would reduce the need for manual edits.

BACKGROUND

Please describe your company and position.

I am the Co-Founder of Exowatt

Describe what your company does in a single sentence.

Exowatt is a next generation renewable energy company offering commercial and industrial customers a modular full-stack energy solution that can provide dispatchable power and heat for up to 24 hours per day, specifically designed to meet the needs of energy-intensive applications such as data centers. 

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire Pinnasys to accomplish?

• Exowatt's whole model depends on our systems staying online, we are powering 24/7 AI data centers off-grid, so any unplanned downtime on our end has real consequences for the customers relying on us. Up until this engagement, our team was monitoring component health mostly reactively. We'd catch degradation in heat systems or battery storage after it started affecting output, not before, and that's not good enough when you are promising dispatchable power around the clock.
• We brought in Pinnasys to build predictive decision models that could get ahead of that.

SOLUTION

How did you find Pinnasys?

• Online Search
• Referral

Why did you select Pinnasys over others?

• Pricing fit our budget
• Great culture fit
• Good value for cost
• Referred to me

How many teammates from Pinnasys were assigned to this project?

2-5 Employees

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

Their work focused on machine learning models trained on our continuous lens tracking data, heat degradation patterns, and battery storage metrics, aimed at predicting component failures before they actually caused a power loss. They also built out some AI recommendation logic to help our operations team prioritize maintenance, and a conversational AI layer internally so our engineers could query system health in plain language instead of digging through raw data dashboards.

RESULTS & FEEDBACK

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

The engagement ran about four months, most of it spent getting the models trained properly on our real operational data before we trusted any of it in a live setting. Since deployment, we have caught early signs of battery degradation on multiple units before they affected output, and our maintenance team is now acting on predictive alerts instead of waiting for something to visibly fail. It's early days for a full uptime metric, but the shift from reactive to predictive maintenance alone has been a meaningful operational change for us.

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

We kept things lean, weekly syncs over Google Meet, plus a shared Slack channel for anything urgent given the nature of the work. As co-founder, I was directly involved throughout, along with one of our lead hardware engineers who understood the sensor data best. Pinnasys had a machine learning engineer leading model development and a solutions consultant who helped translate our raw operational data into something the models could actually be trained on effectively.

What was your primary form of communication with Pinnasys?

• Virtual Meeting
• Email or Messaging App

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

What impressed me was how much time Pinnasys spent understanding the physical side of our system before writing a single line of model code. This isn't a typical SaaS dataset, it's continuous sensor data tied to physical hardware degrading in real conditions, and they didn't try to force a generic ML approach onto that. Their engineer asked genuinely sharp questions about how our lens tracking and thermal systems actually behave.

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

The early model iterations were a bit conservative, flagging potential failures more often than necessary, which meant some unnecessary maintenance checks early on. They tuned it down within a few weeks once we had more real-world data feeding back in, but it's worth expecting some calibration time upfront. Overall, this was a genuinely technical, well-executed engagement for a use case that isn't exactly plug-and-play.

BACKGROUND

Please describe your company and position.

I am the Head of Marketing & Communications of a real estate company 

Describe what your company does in a single sentence.

Commercial property valuation, investment advisory, and corporate leasing solutions form the operational backbone of our agency. We work alongside real estate investors, asset holders, and multinational firms seeking strategic direction across European property markets.

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire Pinnasys to accomplish?

• Upgrading our yield forecasting framework with custom machine learning models was top on our list.
• We sought a reliable predictive algorithm that could evaluate rental yield trends across diverse urban commercial sectors.
• Eliminating manual spreadsheet calculations in favor of a centralized analytics portal drove our decision to collaborate.

SOLUTION

How did you find Pinnasys?

Online Search

Why did you select Pinnasys over others?

• Great culture fit
• Company values aligned

How many teammates from Pinnasys were assigned to this project?

2-5 Employees

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

Our partnership began with an in-depth audit of our past transaction records and market statistics. Following that initial phase, their technical crew engineered a machine learning model built to project commercial real estate value shifts. Integrating the software into our core databases went smoothly, though fine-tuning data parameters for specialized industrial properties took a few extra days during early trial runs.

RESULTS & FEEDBACK

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

Property valuation turnarounds sped up by roughly fifty percent right after deployment. Forecasting accuracy for commercial rental returns improved markedly, giving our advisory team strong backing during client negotiations. Removing heavy manual data work freed our analysts to focus on high-level client consultations.

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

They managed tasks with high discipline, keeping us updated through concise weekly syncs. Every deliverable arrived on schedule, meaning our daily advisory work continued smoothly without technical hitches. Their technical leads answered our inquiries quickly whenever our internal team had questions about server setup.

What was your primary form of communication with Pinnasys?

Email or Messaging App

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

The predictive capability of their custom machine learning software stood out immediately. Watching the system crunch complex real estate dataset trends into accurate yield forecasts in seconds gave us tremendous confidence. It is rare to find a technical partner that understands both financial modeling and soft market dynamics so well.

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

Whenever our team requested adjustments to valuation metrics mid-way, the algorithm setup grew considerably more complex. Modifying the data inputs demanded additional calibration cycles that slightly extended our testing phase. Having a clearer protocol for scope adjustments would make handling technical changes much smoother when requirements shift.