deepsense.ai

BACKGROUND

Please describe your company and position.

I am the Founder & CEO of Sanal ai

Describe what your company does in a single sentence.

Sanal ai empowers merchants with AI-powered infrastructure that automates customer interactions, ordering, and commerce through smart AI agents.

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire deepsense.ai to accomplish?

• Design and architect a scalable AI-driven platform and system architecture for Sanal, including AI agent workflows and core infrastructure.
• Translate complex business and product requirements into a robust technical architecture aligned with long-term scalability and future AI capabilities.
• Support strategic decision-making by providing deep AI expertise, technical advisory, and feasibility validation for an AI-first commerce infrastructure.

SOLUTION

How did you find deepsense.ai?

Online Search

Why did you select deepsense.ai over others?

• Great culture fit
• Good value for cost
• Company values aligned

How many teammates from deepsense.ai were assigned to this project?

2-5 Employees

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

We partnered with DeepSense.ai to design and build the core technical foundation of our platform. The engagement was strategic in nature and focused on establishing a scalable, production-ready AI infrastructure capable of supporting agentic systems and complex execution workflows.

DeepSense was responsible for:

Architecting the core AI infrastructure and execution layers of the platform.
Designing systems that enable AI agents to interact directly with merchant platforms, payment flows, and logistics systems.
Defining agent orchestration, decision-making flows, and system-level integrations.
Building backend services and APIs with scalability, reliability, and future expansion in mind.
Acting as a technical thought partner, not just an implementation team.

The key outcomes of this engagement included:

A fully designed and implemented execution and operational layer for our AI platform.
A scalable backend architecture ready for real-world deployment.
Clear system architecture, documentation, and integration frameworks.
Ongoing technical input that helped shape both the product and the long-term platform strategy.

From a founder’s perspective, DeepSense stood out for their depth of technical expertise, strong architectural thinking, and ability to work on complex, forward-looking AI systems. They were not simply executing tasks, but actively contributing to critical technical decisions and helping us build a solid foundation for long-term growth.

DeepSense.ai proved to be a dependable and highly capable partner for building advanced AI infrastructure and agent-based platforms

We would confidently engage DeepSense.ai again, as they demonstrated the ability to translate complex, future-oriented ideas into robust, production-ready architecture

RESULTS & FEEDBACK

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

The project resulted in clear, measurable progress across architecture, readiness, and execution capabilities:

- Successfully designed and implemented a complete execution and operational layer for an agent-based AI platform, enabling end-to-end workflows from decision-making to action.

- Delivered a scalable, production-ready backend architecture capable of supporting multi-agent orchestration and future growth without rework.

- Reduced expected future integration and refactoring effort by establishing a clear system architecture and standardized APIs from the outset.

- Enabled faster iteration cycles by providing well-documented infrastructure and modular services that internal teams can build on efficiently.

- Achieved a stable technical foundation that allowed us to move confidently from R&D into real-world deployment planning.

These outcomes significantly accelerated our platform readiness and de-risked future scaling and execution phases.

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

DeepSense.ai demonstrated a strong and structured approach to project management throughout the engagement. Milestones were clearly defined, priorities were aligned early, and delivery was consistently on schedule given the complexity of the work.

Communication was clear, proactive, and transparent. The team was highly responsive to our evolving requirements and handled changes thoughtfully without compromising architectural integrity or delivery timelines.

What stood out was their ability to manage ambiguity. Rather than waiting for fully specified requirements, they actively collaborated with us to clarify scope, challenge assumptions when needed, and propose technically sound solutions.

Overall, DeepSense operated as a true extension of our internal team, balancing execution discipline with flexibility, and ensuring steady progress on a technically complex, forward-looking platform.

What was your primary form of communication with deepsense.ai?

• Virtual Meeting
• Email or Messaging App

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

What impressed us most about DeepSense.ai was their ability to operate at both strategic and execution levels simultaneously. They demonstrated deep technical expertise in AI systems and infrastructure, while also understanding the broader product, business, and scalability implications of the decisions being made.

Unlike many vendors, DeepSense did not limit their role to implementation. They challenged assumptions, proposed alternative architectures when appropriate, and consistently thought several steps ahead in terms of system evolution, performance, and long-term maintainability.

Their experience with complex, agent-based and future-oriented AI systems was evident in the quality of the architecture they designed and the clarity with which they articulated trade-offs and decisions. This combination of technical depth, architectural discipline, and founder-level thinking made them a genuinely differentiated partner.

Their output reflected strong technical depth, clear system thinking, and a focus on building production-ready infrastructure rather than short-term solutions. DeepSense acted as a true technical partner, contributing meaningfully to both execution and long-term platform strategy. We would confidently work with them again on complex, forward-looking initiatives.

Are there any areas for improvement or something deepsense.ai could have done differently?

There were no major areas for improvement. Once timelines and priorities were aligned, DeepSense delivered high-quality work efficiently and reliably

BACKGROUND

Please describe your company and position.

I am the CTO & Founder of Welyo / Focus Telecom Polska SA

Describe what your company does in a single sentence.

Welyo is a AI-driven Contact Center as a Service (CCaaS) provider delivering a cloud-based platform for omnichannel customer communication. The platform unifies all key customer interaction channels in a single system:

• voice (inbound and outbound telephony),
• chat,
• email,
• SMS,
• social media.

In line with leading CCaaS solutions on the market, Welyo enables companies to:

• increase sales performance through better reachability, faster response times, intelligent routing, and automation,
• improve customer experience and service quality by providing agents with a single workspace, full interaction history, and consistent processes across channels. 

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire deepsense.ai to accomplish?

• The main goal was to receive AI advisory consultancy and a technical audit of our current state. We wanted to analyze our solution from a technical perspective and get recommendations for following development.
• Moreover, we aimed to prioritize and plan next product features and outline 2026 roadmap, starting with 3-month MVP.

SOLUTION

How did you find deepsense.ai?

Referral

Why did you select deepsense.ai over others?

• Close to my geographic location
• Referred to me

How many teammates from deepsense.ai were assigned to this project?

2-5 Employees

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

The scope involved analyzing our current solution, providing recommendations for changes, and facilitating workshops to prioritize use cases and ideas into a concrete plan. deepsense.ai prepared a detailed scope for the MVP, including execution time estimates as well as roadmap for 2026. 
Key deliverables included:

• technical report with technical analysis and recommendations,
• detailed user stories for different product streamlines,
• diagram of 2026 architecture
• and roadmap of future features.

RESULTS & FEEDBACK

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

The primary outcome was the comprehensive report and user stories, but equally important were the numerous consultation meetings and conducted design workshops. deepsense.ai engaged in brainstorming sessions regarding our architecture and provided both technical and business recommendations.

They collaborated with our Tech, Product, QA, and C-level teams.

Additionally, they helped us gather feedback from our end-clients regarding AI needs and suggested pricing models for new features.

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

Project management was handled entirely by deepsense.ai. Although there was a slight 2-day delay compared to the original 3-week plan, it was communicated well in advance, so we consider it delivered on time. 

What was your primary form of communication with deepsense.ai?

• In-Person Meeting
• Virtual Meeting

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

They managed the changing project scope well, which we appreciated.

Are there any areas for improvement or something deepsense.ai could have done differently?

The project met our expectations and was delivered in a professional manner.

A clearer identification of the business outcomes behind specific recommendations could further increase the value.

BACKGROUND

Please describe your company and position.

I am the ai and automation lead of cato networks

Describe what your company does in a single sentence.

Cato pioneered the convergence of networking and security into the cloud.Aligned with Gartner’s Secure Access Service Edge (SASE) frameworks, Cato’s vision is to deliver a next generation IT security platform that eliminates the complexity, costs, and risks associated with legacy IT approaches based on disjointed point solution

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire deepsense.ai to accomplish?

• Support engineering: navigating multiple internal systems to investigate incoming Zendesk tickets and automate responses
• Knowledge exchange and teaching us about AI agents
• ~20% reduction in Tier-1 ticket response time by automating workflows previously handled manually.

SOLUTION

How did you find deepsense.ai?

Online Search

Why did you select deepsense.ai over others?

• High ratings
• Great culture fit
• Good value for cost

How many teammates from deepsense.ai were assigned to this project?

1 Employee

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

The project focuses on developing and deploying six specialized agents powered by LangGraph orchestration and AWS Bedrock Claude 3 models to transform customer support operations:
● Atomic agents development for dedicated type of actions such as: network analysis, events analysis, configuration
● Planner agent orchestrating atomic agents at every step  of ticket resolution 
● Responder agent handling entire conversation history and providing responses

RESULTS & FEEDBACK

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

1. Responder - user satisfaction >80%
2. Scalability - actions extracted from all internal data sources.
3. Time spend on ticket - 20% reduction
4. Automation of connectivity related tickets
5. Self improving system

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

yes they have. 
perfect communication 

What was your primary form of communication with deepsense.ai?

• Virtual Meeting
• Email or Messaging App

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

They offer a very good, personal, and professional fit. always up for a new challenge and willing to help and provide the best service.

Are there any areas for improvement or something deepsense.ai could have done differently?

n/a

BACKGROUND

Please describe your company and position.

I am the Head of IT & Data of a food company

Describe what your company does in a single sentence.

Global food company with a mission to bring health through food to as many people as possible, operating across dairy and plant-based products, waters, and specialized nutrition.

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire deepsense.ai to accomplish?

• Knowledge Transfer to the Organization – to embed a deep understanding of MMM principles, models, and use cases within commercial and analytics teams.
• Building In-House Capabilities – to develop internal expertise and reduce long-term dependency on external vendors by training cross-functional teams to run and interpret MMM independently.
• Creating a Scalable MMM System – to design and implement a repeatable, modular, and data-driven process that enables consistent MMM deployment across multiple brands and markets.

SOLUTION

How did you find deepsense.ai?

Online Search

Why did you select deepsense.ai over others?

• High ratings
• Close to my geographic location

How many teammates from deepsense.ai were assigned to this project?

6-10 Employees

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

The scope of the project focused on designing, piloting, and enabling a Marketing Mix Modeling (MMM) capability within our commercial organization. The initiative was led by the Data & Analytics team in collaboration with business stakeholders across marketing, finance, and sales.

Key Deliverables:

End-to-end MMM model for the pilot brand
Executive-level recommendations based on data-driven ROI analysis
Blueprint for scalable MMM deployment

RESULTS & FEEDBACK

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

The collaboration gave us a solid foundation to better understand and apply Marketing Mix Modeling. We successfully transferred key knowledge into the organization and now feel equipped to further build, test, and evolve our MMM approach in a way that fits our business needs.

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

The team demonstrated a very structured and collaborative approach to project management. They were responsive, flexible, and consistently open to feedback, adapting quickly to our evolving needs. Despite the complexity of the topic and cross-functional nature of the work, key deliverables were provided on time and with high quality. Communication was clear and proactive, which made the whole experience smooth and productive.

What was your primary form of communication with deepsense.ai?

Email or Messaging App

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

What impressed us most was their ability to combine deep technical expertise with a practical, business-first mindset. They didn’t just build a model—they made sure we understood it, could use it, and could scale it on our own. The clarity of communication, openness to feedback, and genuine commitment to transferring knowledge stood out throughout the entire collaboration.

Are there any areas for improvement or something deepsense.ai could have done differently?

While the overall collaboration was very positive, there is always room to strengthen alignment on expectations at the start of the project—especially when it comes to the level of detail or business context needed to move quickly. In future engagements, an even deeper immersion into our internal processes and decision-making dynamics could help accelerate delivery and enhance impact from day one.

BACKGROUND

Introduce your business and what you do there.

I’m the director of data science. We provide AI-powered automation software for telecom operators, enabling efficient 5G and edge cloud network management, faster service deployment, and optimized operations to enhance customer experience and reduce costs.

OPPORTUNITY / CHALLENGE

What challenge were you trying to address with deepsense.ai?

We needed data scientists to iterate fast on our solution.

SOLUTION

What was the scope of their involvement?

deepsense.ai helped us create a RAG system on documentation. The team set up a pipeline for document parsing.

What is the team composition?

We worked with 2–5 teammates from deepsense.ai.

How did you come to work with deepsense.ai?

I had the opportunity to work with them through a referral. We chose them over other options because they had high ratings, a great culture fit, good value for the cost, and aligned company values.

What is the status of this engagement?

The engagement lasted from February–March 2025.

RESULTS & FEEDBACK

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

We managed to deliver a specific and highly accurate solution. We used a MAP@K for the retrieval, and the score was 1.2 versus 3.1.

How did deepsense.ai perform from a project management standpoint?

We did the project management ourselves. We communicated via virtual meetings and email or messaging apps.

What did you find most impressive about them?

deepsense.ai was fast to deliver and had a high level of expertise.

Are there any areas they could improve?

No, there weren’t any.

BACKGROUND

Introduce your business and what you do there.

I’m the CEO of a company that provides rapid eye-tracking analysis using webcam-based eye-tracking.

OPPORTUNITY / CHALLENGE

What challenge were you trying to address with deepsense.ai?

We needed support with training a new model for webcam-based eye-tracking for a scientific grant from PARP.

SOLUTION

What was the scope of their involvement?

deepsense.ai has been helping us prepare the model architecture, training prototype, and optimizing the model for live eye gaze prediction (30Hz) by testing several approaches. The team has also been training the model on larger sets of data.

What is the team composition?

We’ve been working with 3–4 specialists from deepsense.ai.

How did you come to work with deepsense.ai?

We found deepsense.ai through a referral and chose them because of their expertise.

What is the status of this engagement?

We started working together around January 2024, and the engagement is ongoing.

RESULTS & FEEDBACK

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

deepsense.ai's work has resulted in better accuracy with every iteration. For example, we've improved from 290px to 99px when it comes to accuracy. Overall, the team has met our goals.

How did deepsense.ai perform from a project management standpoint?

deepsense.ai's project management is good. We communicate via email and Slack.

What did you find most impressive about them?

deepsense.ai's quick turnaround is impressive.

Are there any areas they could improve?

I don't think there's anything they can improve on.