Built for teams
who need to know
what ran.
TAS builds Cluster1: AI operations infrastructure for teams that can't afford surprises. Every action logged. Every agent scoped. Every credential encrypted.
Agentic AI operations are here. The infrastructure to run them securely, governed, and under operator control is not.
Enterprises in fintech, govtech, and healthtech are deploying intelligent systems that take real actions with real consequences. The decisions being made are no longer hypothetical. They affect customers, operations, and regulatory standing.
Most AI tooling was built for speed. There is no standard for auditing what an agent did, why it did it, or who approved it. Credentials sit in environment files. Compliance requires manual reconstruction after the fact.
Tech Automation Services builds clusters of agents: simple, transparent, operator-owned. Cluster1 is first.
How we got here.
Research
Twelve months of reading, testing, and discarding. Post-quantum cryptography standards. Agentic frameworks. Secret management. Zero-trust networking. Regulatory frameworks for AI. What came out of it was an architecture. Not a product, yet.
First components ship
lvls goes into production first. ML-KEM-768 encryption, TOTP-gated, machine-scoped. All internal credentials migrate off .env files immediately. ClawOps agent fleet comes next: seven agents, defined roles, Tailscale-native networking.
The rest of Cluster1
Clutch, 4Context, and the Privacy Proxy. The full stack is live. Every LLM call passes through the proxy. Every agent action goes through an approval gate. Wazuh IDS wired in. ISO 27001 & 42001 frameworks applied against the architecture.
Early access
200 spots. Teams that need to run AI in production and actually know what it's doing. Founding members help shape what gets built next.