LLM systems that run inside the stack you already have.
Answers from your documents, measured.
Multi-step agents with approvals and escalation.
Ranking grounded in your own catalogue.
Assistants inside CRM and ops tools.
Gateways, evaluation, observability, cost.
An LLM agent for commercial negotiations, working from live pricing and contract data.
Self-hosted agentic RAG with confidence scoring and human escalation.
Keyword and vector retrieval, fused and reranked, so exact terms and meaning both count.
Plain questions become checked, read-only SQL across your sources, answered with a chart.
Grids that were built by hand, title by title, now build themselves.
Picks that learn each viewer’s taste, from their very first session.
Data, users and constraints mapped first.
A working system on your real data.
Security, evaluation, load and failure tests.
Monitoring and cost tracking after launch.
The people you meet write the code.
Runs in your cloud, under your policies.
Source, prompts and eval sets are yours.
Every system ships with evals and monitoring.
What works in a demo often fails in production.
Describe the system and the stack it lives in. An engineer will reply.