AI agents · RAG · LLM integration · AI due diligence
Agents, document assistants and predictive models built on Claude, OpenAI and AWS, connected to the systems you already use, and tested on your data before handoff. You own the code and the results.
Defined scope
You approve deliverables and acceptance tests before work starts.
Weekly working demos
You see running software every week, not status reports.
Measured before handoff
Every system ships with a test set and an accuracy report on your data.
Enterprise-ready
NDAs, MSAs and W-9 provided. Work runs in your cloud accounts.
What we build
An agent built on Claude or OpenAI that runs a multi-step workflow inside your CRM, ticketing, email and databases, and escalates only the cases it is unsure about.
You get
Staff or customers ask questions and get answers drawn from your policies, contracts, manuals and tickets, with a citation to the source document for every answer.
You get
Turn PDFs, emails, forms and contracts into clean records in your database or spreadsheet, with every extracted field checked against a confidence threshold.
You get
Your demo or AI-written code works, but production results are inconsistent. We measure where it fails, fix the biggest causes, and leave a test harness that catches regressions.
You get
Predict churn, fraud, risk or demand from the data you already have, and deliver the prediction where decisions are made: an API, a dashboard or your CRM.
You get
A part-time Chief AI Officer or head of data science: set the AI roadmap, choose vendors, hire and review the team, and report progress to leadership and the board.
You get
For investors
Find out whether a target's AI is real, defensible and scalable before you sign, and what it will take to grow it after close.
Hands-on review of the target's models, data and code. Risk register with severity ratings and written findings for the investment committee.
Prioritized AI initiatives for the portfolio company, with owners, costs and the metrics each one should move.
Hour-long calls on AI markets, vendors and technical feasibility for deal teams, directly or through your expert network.
How it works
1
We define the problem, the data available, and what success looks like in numbers.
2
Deliverables, acceptance tests, timeline and cost, agreed before work starts.
3
Working software every week, so you can redirect early.
4
Code, documentation and a walkthrough for your team. Optional support after launch.
Please mention how you heard about us. You'll get a reply with questions or a proposed scope.
San Diego, California · © 2026 VivaMetrix