Empowering Clients to Unlock the Full Potential of AI
We design, build, and operationalize AI agents, enterprise knowledge systems, and AI infrastructure – integrated with core data, evaluated against business requirements, and built for internal ownership.
Proven AI Delivery at Enterprise Scale
We combine AI engineering, product and workflow design, and production infrastructure to deliver systems organizations can deploy, operate and scale.
commercial AI projects
completed
world-class
AI experts
years
of AI expertise
Join our established list of long-term satisfied clients, including global brands, tech enterprises, ambitious scaleups and startups. Whether you’re rapidly scaling with AI or making it the core of your business, partner with us to achieve exceptional results.
Official AI and Cloud Partners
We work closely with leading model, cloud and AI infrastructure providers to help clients move faster from technology selection to reliable production deployment. These partnerships strengthen our platform expertise, implementation capabilities and ability to support complex enterprise environments across the full AI delivery lifecycle.
What We Help Organizations Achieve
Whether you’re responsible for product development or innovation, seeking improvements in your business operations,
aiming to implement and operate AI more efficiently, or looking for a team of AI experts, we are here to help.
Transform high-value operations
Automate complex workflows with AI agents, enterprise knowledge and human oversight.
Build AI-powered products and services
Design and launch AI capabilities that become a meaningful part of your product—not a disconnected feature.
Run AI reliably in production
Build the infrastructure, evaluation, and control layer required to scale AI safely and economically.
Move from uncertainty to an executable program
Select the right workflow, establish the business case, and define a credible path to production.
Showcasing Our State-of-the-Practice
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project
Technical Advisory and Roadmapping to Reduce QA Costs with OpenAI Codex Agents
We delivered a 6-week AI Advisory project with the goal of delivering a technical architecture design of the new AI-powered QA platform, and a clear roadmap…
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project
Helping Private Equity Turn AI Opportunities Into Scalable Value-Creation Roadmaps
We proposed an AI Product Accelerator model combining AI advisory, product strategy, and implementation planning. The approach started with discovery workshops, stakeholder…
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project
Enterprise-Grade ChatGPT Rollout with Security and Governance for 1,500+ Users
ChatGPT Enterprise launched securely and on schedule for more than 1,500 users, with no disruption to the rollout.
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project
Agentic AI for Investment Workflows. Securely Scaling Claude Across Deal, Legal, and Finance Teams
We assessed the Claude Enterprise and Claude Cowork setup, reviewed security settings, access boundaries, connector risks, and configuration gaps, then created…
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project
Detecting 98.5% of Network Anomalies in Real Time for Telecom Providers
Together, we developed proprietary machine learning algorithms tailored to the specific requirements of the telecom industry.
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project
Accelerating AI-Driven Workforce Automation with OpenAI Technology
The PoC showed potential to reduce manual effort, improve user experience, and shorten processing time for expense reporting impacting ~3,000 employees…
Deep AI Engineering for Industry-Critical Workflows
We combine advanced AI capabilities with an understanding of the workflows, data environments, and operational requirements that shape each industry. From AI agents and enterprise RAG and LLM evaluation to MLOps, computer vision, and edge systems, we build production solutions around business processes.
Pharma
AI systems for regulatory, clinical, medical affairs, pharmacovigilance and quality workflows—supported by enterprise knowledge architecture, agents, evaluation and controlled human review.
Healthcare
AI for healthcare operations, payer workflows, clinical knowledge access and AI-enabled products, designed around privacy, traceability and real-world adoption.
Financial & Insurance
Controlled automation for claims, underwriting, compliance, investigations and knowledge-intensive operations where accuracy, auditability and integration matter.
Private Equity
Repeatable AI implementation programs focused on operational improvement, productivity and scalable capability across portfolio companies.
Manufacturing & Industrial
AI for engineering knowledge, quality, maintenance, field service and operational decision support across complex IT and edge environments.
Software & Technology
AI product engineering, code modernization and production infrastructure for companies building AI into customer-facing products and internal platforms.
What Our Clients Say About Us
“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.”
Brian S. Raymond
Founder & CEO at Unstructured
“Sky partners with deepsense.ai across a wide range of topics, including an ML model development, predictive analytics, credit risk, price elasticity, and AI consulting. In price elasticity modeling, deepsense.ai strengthened pricing strategy and RevOps through robust model design and optimization, delivering accurate, adaptable solutions with clear business impact.”
Kostis Manolitzas
Group Head of Data Science Innovation and AI at Sky
” 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.”
Burkhard Boeckem
CTO at Hexagon AB
“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.”
Tom Bianculli
CTO at Zebra Technologies
“deepsense.ai has been a dependable and high-quality partner to Brainly’s AI research, development, and operations efforts over the past 3 years. Their team has integrated seamlessly with our in-house teams, bringing top-tier talent and a collaborative spirit that drives innovation.”
Bill Salak
CTO & SVP Operations at Brainly
“We engaged deepsense.ai for an AI Advisory engagement with the aim of reviewing and enhancing our AI capabilities and practices. 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.”
Mariusz Gralewski
CEO at DocPlanner
“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.”
Ned Taleb
Co-Founder & CEO at B-Yond
“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.”
M. Anthony Aiello
Head of Product & Innovation at AdaCore
“The deepsense.ai solution for anomaly detection helped expedite the problem detection times and decreased the number of monitoring failures. We were also impressed by their team’s technical know-how and solution-based mindset.”
Nitin Navare
CTO at LogicMonitor
“Over a three-year period, deepsense.ai has augmented our internal capabilities with a dedicated team of consultants, helping us enhance our MLOps Platform. 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.”
Carsten Ingerslev
Head of Advanced Analytics
at Danish Business Authority
“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). 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.”
Paul Beavers
CTO (2020-2023) at a transportation management platform provider
Insights for Operationalizing AI
Explore practical perspectives on turning AI initiatives into reliable production systems—from use-case selection and workflow design to agents, enterprise knowledge, evaluation, infrastructure and governance.
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Blog post
When Enterprise Voicebots Act Before They Verify, Real-Time Voice Becomes a Trap
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Webinar
Can LLMs Replace Data Analysts? We Built an EDA Benchmark
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Academic paper
Polish-English medical knowledge transfer: A new benchmark and results
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Academic paper
Reassessing High-Performing LLMs on Polish Medical Exams: True Competence or Bias-Driven Performance?
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![[Interview] Beyond AI Protocol Writing: How Pharma Can Detect Trial Risks Before Protocol Lock](https://deepsense.ai/wp-content/smush-webp/2026/08/clinical_trials_blog2-1024x762.png.webp)
Blog post
[Interview] Beyond AI Protocol Writing: How Pharma Can Detect Trial Risks Before Protocol Lock
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Blog post
deepsense.ai Named an OpenAI Advanced Partner: Scaling Enterprise AI from Strategy to Production
Production-Grade AI Expertise Across the Full Stack
Whether you are building an agentic application, improving access to enterprise knowledge or creating the infrastructure required to scale AI, our teams support the full implementation lifecycle, from architecture and engineering to integration, evaluation and production deployment.