RAG & Enterprise Knowledge AI
Retrieval-augmented generation over your documents, tickets, wikis and databases โ with hybrid search, reranking, citations and evaluation harnesses that keep answers grounded.
Anyone can build a chatbot demo. We build generative AI systems that survive real users, real data and real compliance reviews โ grounded in your knowledge, evaluated continuously, and deployable on your own infrastructure when privacy demands it.
Retrieval-augmented generation over your documents, tickets, wikis and databases โ with hybrid search, reranking, citations and evaluation harnesses that keep answers grounded.
Agents that act, not just answer: multi-step workflows across your CRM, ERP and internal tools with tool-use guardrails, human-in-the-loop approvals and full audit trails.
Role-specific assistants for support, sales, engineering and operations โ integrated with your identity provider and permission model, so users only see what they should.
LoRA/full fine-tunes of open-weight models on your domain data โ when benchmarks show it beats prompting, and only then. Includes data curation and eval design.
Open-weight models served on your infrastructure โ on-prem or VPC โ so prompts and data never leave your control. The default choice for BFSI, healthcare and government clients.
Assistants that work across dozens of languages โ speech-to-speech pipelines for support lines, field operations and citizen services worldwide.
Two disciplines set our GenAI work apart. First, evaluation-driven development: before we build, we define measurable success criteria on your data, and every iteration is scored against them. Second, cost engineering: because we benchmark serving stacks for a living, the systems we ship run at a cost per query you can sustain โ not a demo bill that explodes at scale.
Bring it to a free scoping call. We'll tell you what it takes to build, what it will cost to run, and whether it's worth doing at all.
Scope It with Us