AI & Machine Learning

AI systems that survive contact with production.

AI that ships: grounded in your data, measured against real outcomes, dependable enough for daily operations.

When to call us

You'll recognize the situation

01
A pilot chatbot impressed in the demo and fell apart on real questions. You need retrieval, evaluation, and guardrails before it ships.
02
Analysts spend their week reading documents a model could triage in minutes, with every decision still made by a person.
03
The board wants an AI strategy. You want to know which two use cases actually pay back this year.

What we deliver

LLM application development: Production applications built on frontier models: assistants, document intelligence and decision support wired into your existing systems.
RAG knowledge systems: Retrieval-grounded AI over your contracts, records and knowledge bases. Answers cite their sources instead of asking for trust.
Agentic workflow automation: AI agents that execute multi-step back-office work — triage, data entry, reconciliation — with guardrails and human checkpoints.
AI readiness & evaluation: Fixed-fee audits of where AI genuinely pays off in your operation, plus the evaluation harness that keeps quality measurable.

The system

01Answers combine meaning and exact matching, so the assistant never misses the specific codes, names and amounts your documents depend on.
02Every answer is quality-checked and cites its sources, so your team can verify rather than take it on trust.
03Your knowledge stays in one secure, governed place: simple to protect, back up and reason about.

Deliverables

StackAnthropic & OpenAI APIs·RAG·AI Agents·pgvector·Python·Evals

Describe the problem in one paragraph. We'll answer with feasibility, approach, and a budget shape.