Turn scattered knowledge into answers.
Production-ready RAG and LLM systems — chatbots, autonomous assistants, and secure MCP-integrated workflows — that turn your enterprise's scattered knowledge into accurate, measurable outcomes.
Answers grounded in four steps.
Retrieval-Augmented Generation grounds every response in your own data — so assistants answer from what's true for your business, with citations.
Query
A question arrives from a user, app, or workflow.
Retrieve
Vector search pulls the most relevant chunks from your data.
Augment
Retrieved context is injected into the model's prompt.
Generate
The LLM writes a grounded answer, with citations.
Everything you need to ship generative AI.
From the retrieval layer to the assistant your teams actually use every day.
Production chatbots & RAG pipelines
Retrieval-augmented assistants that answer from your knowledge, with citations and guardrails.
Conversational workflows (MCP)
Secure, permissioned connectors so assistants can act inside enterprise systems, not just talk.
Contextual retrieval & semantic search
Vector search across documents and databases with up to 95% semantic accuracy.
Document ingestion & knowledge bases
Pipelines that turn PDFs, wikis, and tickets into a searchable, always-current knowledge layer.
Custom virtual assistants
Domain-tuned assistants for support, sales, and internal teams — built around your workflows.
Voice assistants
Speech-enabled assistants for hands-free and telephony use cases.
Where teams put it to work.
Built on the modern LLM stack.
The current best tools for retrieval, orchestration, and evaluation — matched to your data and constraints.
Questions about Generative AI.
RAG, safety, data security, and time to launch.
Retrieval-Augmented Generation grounds an LLM's answers in your own data. Instead of guessing, the model retrieves the most relevant chunks from your documents and answers from them — with citations — which is what makes enterprise assistants accurate and trustworthy.
Put your knowledge to work.
Tell us where answers live today — the wiki, the PDFs, the tickets. We'll show you the fastest path to an assistant that actually uses them.