Enterprise AI Delivery Backed by Proven Partnerships

OpenAI | Enterprise LLM Systems

As an official OpenAI Services Partner, we work closely with OpenAI’s technical, solutions, and enablement teams to help organizations move from exploration to production on the OpenAI API and ChatGPT Enterprise. Our clients benefit from deeper platform expertise, roadmap awareness, and implementation patterns that reduce the learning curve and accelerate secure enterprise rollout.

Anthropic | Reliable Agentic AI and MCP Integrations

As an official Anthropic Service Partner, we help enterprises build production-ready Claude solutions, MCP integrations, agentic systems, and Claude Code rollouts when implementation gets complex. Anthropic trusted deepsense.ai to ship components of its own Life Sciences Claude solution — proof of our ability to deliver in demanding, regulated AI environments.

Google Cloud | Enterprise Agentic AI on Gemini

As one of the first AI-native partners in Google Cloud’s expanding ecosystem and a participant in the Gemini Enterprise Agentic pilot, we help organizations translate Google AI investments into production value. We bring deep engineering expertise to enterprise agentic deployments — grounding AI in business data, integrating it with workflows, and designing systems that can scale securely across the organization.

AWS | Production-Grade AI on Cloud Infrastructure

With AWS certifications across our engineering team, close collaboration with AWS architects, and access to AWS co-funding programs, we help clients deliver production-grade AI on AWS efficiently. Our role is to turn existing cloud commitments into a force multiplier for the AI roadmap — supporting scalable workloads, secure integrations, deployment reliability, and cost-aware operations.

ElevenLabs | Voice and Conversational AI

Through our collaboration with ElevenLabs, a leader in advanced AI voice synthesis and conversational audio technology, we help enterprises build voice AI systems that feel natural, responsive, and operationally useful. We combine voice technology with enterprise-grade architecture, integrations, observability, and reliability controls needed for production deployment.

Anyscale | Scalable Distributed AI

Together with Anyscale, we help teams build and scale advanced AI applications where distributed workloads, model performance, and infrastructure efficiency matter. We use Ray and the Anyscale platform to support high-performance AI systems that move beyond prototypes into scalable production environments.

Crusoe | Scalable, Sustainable AI Infrastructure

Through our partnership with Crusoe, we help clients access GPU-backed infrastructure for large-scale AI training, experimentation, and production workloads. This supports organizations that need scalable compute capacity while keeping infrastructure strategy aligned with performance, cost, and operational requirements.

LangChain | LLM Application Frameworks at Scale

As a LangChain Partner, we work closely with the creators of one of the most widely adopted frameworks for LLM applications. This helps us design and implement production-grade LLM systems, RAG pipelines, agents, tool orchestration layers, and evaluation workflows using proven patterns from the broader LangChain ecosystem.

Move from PoC to production faster

Reduce implementation risk

Build on the right capabilities

Scale with reliability and control

Kostis Manolitzas

Group Head of Data Science Innovation and AI at Sky

“Sky collaborates with deepsense.ai across a wide range of topics, including ML model development, predictive analytics, credit risk, price elasticity, content, and AI consulting. One standout example is related to Price Elasticity models, where deepsense.ai played a crucial role in both ML model design and output optimization.

These models help us enhance the efficiency of promotional offers, providing insights that strengthen our pricing strategies and revenue optimization. Their expertise ensures the models remain accurate, adaptable, and optimized to reflect market dynamics. deepsense.ai has been an exceptional partner, seamlessly integrating with our team to deliver tangible business benefits. Their unique combination of technical excellence, business acumen, and passion for AI-driven problem-solving ensures our projects are both efficient and impactful.”

Brian S. Raymond

Founder & CEO at Unstructured

“At Unstructured, we have been delighted to partner with deepsense.ai, a collaboration that has significantly accelerated the development across our Product Roadmap. Specializing in the complex domain of unstructured ETL for RAG, deepsense.ai has matched our technical intensity and contributed across various functional areas.”

Burkhard Boeckem

CTO at Hexagon AB

“deepsense.ai helps us discover new scenarios and optimise our products under various conditions. For example, in one of our projects we developed a 3D facial reconstruction device capable of detailed skin analysis. deepsense.ai contributed to the elements requiring artificial intelligence for it. The final implementation involved accurately identifying key points, correctly segmenting facial areas, and detecting wrinkle lines and their estimated severity. Our collaboration shows how to apply cutting-edge AI in niche markets and industries where we seek a competitive advantage. We share efforts in our innovative approach, which differentiates us from peers and startups, embodying our belief that it’s better to disrupt ourselves than to be disrupted by the competition. We look forward to continuing our collaboration with deepsense.ai in the future.”

Tom Bianculli

CTO at Zebra Technologies

“At Zebra Technologies, we’ve had the pleasure of collaborating with deepsense.ai across a variety of AI-related engagements. One particular example where deepsense.ai’s expertise really stood out was their involvement in the development of our GenAI-powered frontline worker digital assistant. The solution integrated a diverse set of data sources, providing assistance to frontline employees with relevant responses in their moment of need. While working with Zebra teams, deepsense.ai has consistently demonstrated a strong technical capability, coupled with a proactive approach, an unwavering commitment to quality and delivering what they promise. Their dedication to our success has made them an invaluable partner in our journey. We look forward to our continued partnership going forward.”

Bill Salak

CTO & SVP Operations at Brainly

“deepsense.ai has been a dependable and high-quality partner to Brainly’s AI research, development, and operations efforts over the past 3 years. deepsense.ai professionals work side-by-side with our in-house teams, contributing to the development of significant projects. Their commitment to both technical excellence and teamwork has been evident in everything from daily operations to our most complex challenges. Their team has integrated seamlessly with our in-house teams, bringing top-tier talent and a collaborative spirit that drives innovation. We are grateful for this partnership and confident in their professionalism and expertise. Brainly highly recommends deepsense.ai for anyone seeking a team that brings both skill and a true collaborative spirit to the table.”

Mariusz Gralewski

CEO at DocPlanner

“We engaged deepsense.ai for an AI Advisory engagement with the aim of reviewing and enhancing our AI capabilities and practices. From the outset, the deepsense.ai team demonstrated exceptional technical proficiency. They quickly developed a thorough understanding of our business context and objectives, giving us confidence that they could be a trusted partner in achieving our aspiration at DocPlanner of becoming an AI leader in the healthcare sector. deepsense.ai was adept at identifying practical quick-win improvements in our AI operations, providing guidance for our long-term investment priorities in the AI domain and ensuring a thorough transfer of knowledge to our internal AI team throughout the engagement. Overall, our experience with deepsense.ai exceeded our high expectations. Their expertise and collaborative spirit are top-notch, and we highly recommend deepsense.ai as a valuable partner in the AI journey to any product-based technology business with high aspirations and robust technical rigor.”

Ned Taleb

Co-Founder & CEO at B-Yond

“We have successfully partnered with deepsense.ai on multiple R&D projects. The deepsense.ai team was able to effectively partner and work hand-in-hand with our development team, complementing our domain knowledge with deep expertise in AI/ML and predictive analytics. Their professionalism and proficiency in data science made them an ideal partner for us, so we wish to continue our collaboration in the future.”

M. Anthony Aiello, Head of Product & Innovation at AdaCore

M. Anthony Aiello

Head of Product & Innovation at AdaCore

“deepsense.ai quickly delivered a Proof of Concept for a code completion tool, using a state-of-the-art technological stack, including the newest available LLMs and libraries. They also led an excellent LLM discovery workshop that jump-started AdaCore’s integration of LLM solutions into our business processes and products. Their technical knowledge and commitment to delivering tailored, top-notch services were evident throughout our collaboration. Partnering with deepsense.ai has helped us accelerate our understanding of AI, implement AI solutions, and gain a strategic edge in today’s competitive landscape.”

Nitin Navare

CTO at LogicMonitor

“We were facing challenges with identifying issues in an infrastructure monitoring project that was complex and time-consuming. The deepsense.ai solution for anomaly detection helped expedite the problem detection times and decreased the number of monitoring failures. Therefore, it increased our efficiency and performance on the project. We were also impressed by their team’s technical know-how and solution-based mindset.”

Carsten Ingerslev

Head of Advanced Analytics at Danish Business Authority

“Over a three-year period, deepsense.ai has augmented our internal capabilities with a dedicated team of consultants, helping us enhance our MLOps Platform. deepsense.ai’s consultants have taken responsibility for various aspects of automation of predictive model deployment, governance, and traceability of advanced analytics, continuous assessment of AI model performance, and support for ETL processes. Their involvement from early ideation and design phases through to the entire software development cycle has ensured a high standard of engineering maturity and adherence to industry best practices. We highly value our partnership with deepsense.ai and are confident in their ability to deliver mature and high-quality services in the fields of Data Engineering and MLOps. Their contributions have been important to our success and positioning us to potentially extend these innovations to other public sector organizations. We look forward to continuing this collaboration.”

Paul Beavers

CTO (2020-2023) at a transportation management platform provider

“We engaged deepsense.ai to improve some of the functionalities of our AI-driven transportation management platform in terms of Estimated Time of Arrival (ETA) and On-time Probability (OTP). Our experience with them was remarkable. deepsense.ai proved their technical capability by applying artificial neural networks and random forest methods to achieve impressive results for us. Their solution-oriented mindset and commitment to providing top-notch and highly professional service was apparent. The ease of collaboration with deepsense.ai’s team and their adaptability to our feedback and ideas made the entire development process seamless and productive. Overall we were incredibly grateful for the partnership and the impact deepsense.ai delivered.”

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  • Designing Compliance-First Architectures for Regulated Production

    Designing Compliance-First Architectures for Regulated Production

  • AI Voice Agents & Enterprise Assistants: Lessons from Production

    AI Voice Agents & Enterprise Assistants: Lessons from Production

  • Improving Layout Representation Learning Across Inconsistently Annotated Datasets via Agentic Harmonization

    Improving Layout Representation Learning Across Inconsistently Annotated Datasets via Agentic Harmonization

  • deepsense.ai Launches Its Google Cloud Partnership with a Dedicated Gemini Enterprise Practice

    deepsense.ai Launches Its Google Cloud Partnership with a Dedicated Gemini Enterprise Practice

  • When Code Gets Cheaper, Judgment Gets More Precious: Quality Bottlenecks in Enterprise AI Systems

    When Code Gets Cheaper, Judgment Gets More Precious: Quality Bottlenecks in Enterprise AI Systems

  • GxP-Compliant AI Deployment. The New Competitive Edge in Life Sciences

    GxP-Compliant AI Deployment. The New Competitive Edge in Life Sciences

Showcasing Our State-of-the-Practice