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 are official partners of leading AI platform and infrastructure providers. These relationships directly benefit our clients through validated architectures, early access, and deeper platform-level expertise.
OpenAI | Enterprise LLM Systems
As an official OpenAI Services Partner, we work closely with OpenAI’s technical and solutions teams to build secure, scalable enterprise AI systems using ChatGPT, GPT APIs, and emerging model capabilities.


Anthropic | Reliable and Reasoning-Centric AI
As an official Anthropic Service Partner, we deliver production AI applications powered by Claude and the Claude Developer Platform.
LangChain | LLM Application Frameworks at Scale
As a LangChain Partner, we work closely with the creators of one of the most widely adopted LLM application frameworks.


ElevenLabs | Voice and Conversational AI
Through our collaboration with ElevenLabs, a leader in advanced AI voice synthesis and conversational audio technology, we integrate natural, expressive speech into multimodal AI systems.
Anyscale | Scalable Distributed AI
We use Ray and the Anyscale platform to build high-performance AI systems that scale across large workloads and distributed environments.


Crusoe | Scalable, Sustainable AI Infrastructure
Through our partnership with Crusoe, we deliver GPU-backed AI infrastructure that supports large-scale training and production workloads with lower operational cost.
Vespa.ai | Search, Recommendation, and RAG at Scale
We build large-scale AI-driven applications for search, recommendation, and retrieval using Vespa in both managed and open-source deployments.

Why These Partnerships Matter
These partnerships are selected because they:
They are a core part of how we deliver production-grade AI systems.
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
Building Production AI Agents: Hooks, Tool Confirmation, and Multi-Agent Orchestration in ragbits 1.5 release
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R&D Hub
Rapid GenAI Development with ragbits RAG Stack
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Blog post
Orchestration Before Optimization: How to Build Enterprise Agents That Survive UAT
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Blog post
OAuth2, Extensible API Schema, and File Handling for Production-Grade GenAI: ragbits 1.4 release
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Blog post
From Token Prediction to World Models: The Architectural Evolution After LLMs
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Webinar
MCP Apps Explained: Building Agent-Driven UIs with Model Context Protocol


Showcasing Our State-of-the-Practice
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project
From Fragmented AI Experiments to a Coherent Enterprise AI Roadmap
In collaboration with key stakeholders, we identified high-impact use cases, defined governance and delivery processes, and designed the structure and operating rhythm…
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case-study
From AI Advisory to MVP in 3 Months: Accelerating Time-to-Market for an AI Agent Customer Support Platform
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project
Accelerating Internal Evidence Generation with Autonomous AI Agents
We built an AI-powered app that automates literature review and evidence synthesis within the IEGP process using autonomous LLM-based agents.
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project
LLM Evaluation for Document Understanding
This project eliminated guesswork, providing a clear guidance for a optimal model choice.
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case-study
Reducing Time to Build Data & AI Connectors from 2 Weeks to 3 Days with a Modular Plugin Architecture
Reduced connector development time by 85% (from 2 weeks to 3 days) while scaling support to 35+ data sources, 35+ destinations, 10+ AI…
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project
Enterprise-Grade Cloud Infrastructure Powering Scalable AI at Scale
We delivered a cloud-native data science and ML platform on GCP and Kubernetes, fully aligned with enterprise security and IT standards.



















