Enterprise AI Delivery Backed by Proven Partnerships
We build and operate production-grade AI systems for organizations where reliability, scale, and ROI matter. Our work combines deep AI engineering, long-term client partnerships, and official relationships with leading AI technology providers.

Official Partners
We’re proud to be official partners of AI leaders, giving us and our clients access to cutting-edge, state-of-the-art technologies and ensuring that we remain at the forefront of applied AI.





Official Technology Partnerships That Accelerate Delivery
We partner with leading AI platforms and infrastructure providers to help clients move from AI ambition to production faster. These relationships strengthen our delivery with platform-level expertise, validated implementation patterns, roadmap awareness, and ecosystem support — helping enterprises build AI systems that are reliable, secure, scalable, and tied to measurable ROI.
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.
Why These Partnerships Matter
These partnerships help us turn AI platform access into production outcomes.
They are a core part of how we deliver production-grade AI systems — faster, safer, and with measurable business impact.
Track Record of Delivering Value
to Clients and Building Trust
We Are AI Experts
Delivering tailored AI solutions across guidance, implementation, and support to unlock the full potential of AI for our clients

completed commercial
AI projects
world-class
AI experts
years
of AI expertise
net promoter score
based on client
responses
of our revenue from
clients with a relationship
length of over 2 years

of our client relationships initiated from referrals

Our Insights and Resources
Learn more about our services in LLM software development, RAG, AI agents, MLOps, Data
Engineering, Computer Vision, Edge Solutions, Predictive Analytics, and more—all from both business
and developer perspectives.
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Blog post
LLM Business Utility Leaderboard: June 11, 2026 Benchmark Update
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Blog post
Why “Average” AI Isn’t Enough: Introducing a “Business Utility” Metric for AI Model Evaluation
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Blog post
LLM Business Utility Leaderboard: June 3, 2026 Benchmark Update
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Webinar
Spec-Driven Development: The Discipline Behind Reliable AI Coding
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Webinar
DuckDB + DuckLake: Building a Lightweight Data Lakehouse Without Heavy Infrastructure
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Academic paper
Business Utility of Large Language Models as Exploratory Data Analysis Agents


Showcasing Our State-of-the-Practice
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project
Investment Research Agent for an AI-Native Portfolio Management Platform
The scalable foundation can be extended with additional capabilities such as scenario stress testing, portfolio strategy optimization, or portfolio rebalancing.
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project
Competitive Intelligence for Structured Tracking of Insurance Innovation
Instead of manually reviewing large volumes of data sources, stakeholders could quickly identify relevant innovation signals, compare competitors across selected dimensions, and…
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project
Accelerating Product Launch Research from 1-2 Weeks to 3-4 Hours
Reducing analysis preparation time from 1-2 weeks down to 3-4 hours, freeing strategists for client-facing work and enabling the organization to scale…
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case-study
Automating 500,000+ Customer Service Call Workflows with a Voice AI Agent
We designed and delivered a deterministic Voice AI system for a large, multi-location customer service organization, supporting ~2,500 employees across 170+ service centers…
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case-study
From 3,000+ Medical Papers to Clinical Insight. Building an AI Assistant for Physicians
An AI-powered medical research assistant deployed across 13 countries helps 2 million physicians extract insights from 3,000+ high-quality medical sources spanning…
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project
From Fragmented AI Experiments to a Scalable Enterprise Agentic AI Roadmap
We then designed the target architecture and transition roadmap, and moved into delivery alongside the client’s team, building the next generation…



















