New Agentic automation — agents & orchestration · SOX-ready controls (ITGC & ITAC) · solution accelerators →

Capability

AI · RAG & Knowledge Agents

An agent is only as good as what it knows. Most 'AI features' hallucinate because they guess — we build retrieval-augmented systems that answer from your real knowledge, show their sources, and give your automations something solid to act on.

What we build

  • Multi-tenant RAG platforms over your docs, SOPs, tickets, and product data
  • Customer-facing agent APIs and embeddable support widgets
  • Agent-assist tools that draft, summarize, and surface the right answer for human teams
  • Knowledge-gap analytics and feedback loops that improve the knowledge base over time
  • Tools and MCP servers that let agents read and act on your systems through governed, logged interfaces
  • The grounding layer for agentic automation — see Agentic Automation & Orchestration

How we build it

Hybrid retrieval (vector + BM25 + RRF)Cross-encoder rerankingLLM-as-judge verificationTool calling · MCP serversPer-tenant isolation + PII redactionClaude (Bedrock + API)Amazon Nova · OpenAIVoyage AI embeddingsTurbopuffer · pgvector · FAISSModal pipelines · SSE streaming

Proof

Cortex — a next-generation RAG platform for LiveHelpNow

A multi-tenant customer-facing agent API (live at r.livehelpnow.net), a chat hub, a hybrid-retrieval core, and AI pipelines including an AI-graded knowledge-gap report.

Have something that needs to ship?

Tell us what you're building. We'll tell you how we'd build it — and what it'll take.