Limits before features
Every AI action reserves budget before the call and reconciles after, against per-run, per-day and per-customer caps. Overruns are structurally impossible, not policed after the fact.
Technology
Our defensible layer is not a model — it is the control plane around it: the system that lets AI do real work without running up a bill, leaking data, or acting unchecked. It already runs our own engineering.
How we build
Every AI action reserves budget before the call and reconciles after, against per-run, per-day and per-customer caps. Overruns are structurally impossible, not policed after the fact.
In our own engineering, AI agents propose changes and a person reviews every one before it ships. Customer-facing automation follows the same rule.
We test in production before we call anything live. The status language across this site is the same one we use internally.
Architecture
Most "AI products" are a thin prompt over someone else's model. Ours is the opposite layer — the tested controls that make autonomous work safe to run. These are built and running internally today; where a capability is not yet a customer product, we say so.
Budget and rate limits are reserved before each action and reconciled after. Concurrent work cannot collectively overshoot a cap.
A privileged action is authorized once, for exactly those parameters, and cannot be replayed or widened.
Agents propose; a person approves before anything ships. Paid work suspends automatically if the review queue grows, tests fail, or anomalies appear.
Autonomous work runs sandboxed and network-restricted, with a single stop that halts all activity at once.
Exposing this control plane to customers as a product — several specialized systems checking one another's work — is our direction, sequenced after the first commercial product. It is not live.
Reliability & security
Built in from the first commit. We publish these so you can hold us to them.
HTTPS with HSTS, a strict Content Security Policy, and no third-party scripts. The public service runs on its own host, separate from our internal systems.
Passwords stored only as scrypt hashes, server-side sessions with CSRF protection, rate limits and account lockout. We never log your prompts.
AI usage is reserved before each request and reconciled after, per customer and for the whole service — so cost is bounded by design.
We don't claim certifications we don't hold. Triumvir Labs has no SOC 2 or ISO 27001 attestation today; our practices are described here and on the Privacy page, and will be independently audited before any compliance claim is made.