AI Process Power for Teams
TReqs (sounds like T-Rex) helps you plan, ship, and govern AI work on your own infrastructure — or any cloud. Keep control of cost, quality, and cadence without changing your stack.
Cloud‑grade AI Process Power.
Zero lock‑in.
- Run on AWS, GCP, Azure, or on-prem. It's the same process everywhere.
- Keep data where it lives; bring your own storage, compute, and identity.
- Built-in visibility for cost, quality, and model lifecycle reviews.
What is TRAC? The backbone of AI process.
With TReqs, TRAC is the footprint your org can follow: Traceable, Reproducible, Attributable, Collaborative.
Every change and decision leaves a durable trail that teams can follow — audits included.
Reduce “it worked on my box” moments. Know what ran, where, and why you got the result.
Tie outcomes to inputs — code, data, people, and spend — so wins and losses are explainable.
Ship AI like a team sport: clear roles, quick reviews, shared context.
Ship faster. Spend less. Improve model quality.
Shorten time‑to‑signal with clearer gates and fewer back‑and‑forths.
Cut wasted runs and chase the right experiments. Your budget, your rules.
Cleaner inputs and consistent process yield more reliable performance.
Model Review Meetings… Fossilized.
Capture decisions and evidence once; persist them as durable signals your org can act on. Less status theater, more momentum.
See how it feelsSecurity & Compliance
Least-privilege by default; your data stays under your control. SOC 2 Type II target Q2 2026.
Target: Q2 2026Team
Chris Geyer
Co‑founder & CEO
25+ years Robotics, AI & Computer Vision leader; ex-iRobot and previously first engineer at Berkshire Grey building enterprise robotics systems.
Jon Geyer
Co‑founder & Chief Product Officer
Leader of UX and product design for complex systems; shipping crisp, human‑centered workflows for e-commerce & government science.
Trevor Basinger
Founding Engineer
Deep experience in data infrastructure and applied ML; AI systems builder at Manifold and led the Machine Intelligence division at Flogistix.
Prof. Christian Kästner
Advisor — ML & Software Engineering
Expert in software engineering for ML.
Rachel Lomasky
Advisor — Product & ML
Product and AI/ML leadership across B2B; pragmatic discipline on outcomes and delivery.
Pilots open now
Launching Q1 2026. Limited early‑access slots for teams ready to quantify outcomes.