Production AI, not pilots that go nowhere
We build agents, copilots, and RAG systems that survive the move from demo to production — observable, evaluated, and grounded in your data.
Six capabilities, deeply
From discovery to deployment — including the unglamorous parts most teams skip.
Agentic systems
Autonomous workflows that plan, call tools, and recover from errors.
Copilots & chat
Domain-trained assistants embedded in the apps your team already uses.
RAG over your data
Answers grounded in your docs, tickets, and knowledge base — with citations.
Document intelligence
Extract, classify, and route invoices, contracts, and forms — at scale.
Fine-tuning & distillation
Smaller, cheaper, faster models tailored to your domain and tone.
Safety & evaluation
Red-teaming, eval harnesses, and policy guardrails — before you ship.
From scoped problem to production agent
We don't start from prompts. We start from the failure cases — then design the data, retrieval, and evaluation around them.
Scope & evals
Define the user task, golden examples, and success metrics first.
Data & retrieval
Ingest, chunk, embed. Tune hybrid search and re-ranking on real queries.
Agent & tools
Compose tools, plan loops, and guardrails. Test on adversarial cases.
Observe & iterate
Trace every run, score outputs, and improve weekly with real traffic.
User query
"When does my renewal start?"
Embed + retrieve
Hybrid: BM25 + dense vectors
Re-rank
Cross-encoder, threshold filter
LLM + tool calls
Synthesize + call APIs as needed
Guardrails + cite
PII filter, source attribution
Stream response
With citations & confidence
Six AI builds we've shipped this year
Each scoped to a measurable business metric — not vibes.
Support copilot
Deflect tier-1 tickets with grounded answers and safe handoff to humans.
Contract intelligence
Extract clauses, flag risks, and answer "where in our MSA does it say…"
Sales research agent
Account briefs, intent signals, and outreach drafts — every morning.
Invoice & form OCR
Schema-validated extraction with human-in-the-loop for edge cases.
Internal dev assistant
Codebase-aware copilot that knows your conventions, libs, and lint rules.
Risk & fraud signals
LLM + classical ML hybrid scoring with explanations regulators accept.
Model-agnostic, opinionated where it counts
We pick the cheapest model that passes your evals — and swap when better ones land.
Frontier APIs
Open-weight
Vector / search
Orchestration
Built to be trusted, not just shipped
Every system we build comes with the same five things — because retrofitting them after launch is how AI projects die.
Eval harness
Golden sets, regression tests, CI gates
Full traceability
Every prompt, tool call, and citation logged
PII & policy filters
Pre- and post-call safety layers
Bias monitoring
Slice-based metrics in production
Human-in-the-loop
Tunable confidence thresholds
Data residency
On-prem, VPC, or sovereign cloud
Have an AI idea worth building?
Tell us the user, the task, and the success metric. We'll tell you whether it's a 4-week prototype or a 4-month build.
Scope an AI build