We build LLM features around existing company data and workflows. The work usually starts with a specific process: support needs better answers, operations needs less manual routing, documents need to be classified, or an internal team needs a safer way to use company knowledge.

Production AI work is mostly about the parts around the model: data access, permissions, evaluations, logs, fallbacks, cost limits, and review flows for outputs that should not run unattended.

Typical work

• RAG over internal docs, tickets, policies, and product knowledge
• Support assistants with citations and escalation paths
• Document classification and extraction from PDFs, emails, or forms
• Internal agents connected to existing tools and APIs
• Prompt/version management, evals, logs, and fallback behaviour
• Human review screens for sensitive or uncertain outputs