Authority before action
Control starts before an agent moves money, changes systems, exposes data, updates workforce records, or commits the business.
Company
Tegrix is the enterprise authority layer for AI agents.
AI agents are moving from assistants to actors. Tegrix exists so enterprises can define what each agent is authorized to do, enforce that authority before action, and keep evidence of every decision.
Every agent gets an Authority Envelope.
Every decision lands in the Evidence Ledger.
Authority follows the enterprise across platforms, applications, and custom agents.
Company point of view
Authority, context, and evidence for agentic work
Agents are gaining real business authority.
Native platforms govern their own boundary.
Enterprises need authority, context, and evidence across the whole estate.
The enterprise problem is operating authority.
Once agents can touch data, call tools, trigger work, change systems, or affect customers, governance cannot be a document reviewed after the fact. Enterprises need to know which agents exist, what authority they have, which controls apply, and what evidence remains.
Built for the teams responsible after the demo ends.
The buyer is not one function. Agent authority lands on technology, security, finance, audit, compliance, and the business owners accountable for the outcome.
CIO
CISO
CFO
Head of AI Platform
Enterprise Architecture
Security and Risk
Compliance
Internal Audit
Business Owners
Operating principles
How Tegrix thinks about enterprise AI control.
Envelope before exception
Every governed agent gets an Authority Envelope that defines what it may do, where, under which conditions, and when human approval applies.
Evidence from the decision
The Evidence Ledger records what was attempted, which facts and controls were evaluated, what Tegrix decided, and what executed.
Enterprise over platform
The hyperscalers govern their platform. Tegrix governs the enterprise, increasingly using those platform controls as rails.
Founder
Founder-led around the enterprise authority gap.
Senthil Kumar, Founder & CEO
Tegrix is led by Senthil Kumar with a focus on helping enterprises govern, observe, and control AI agents across fragmented environments. The company point of view is direct: when agents become part of business execution, enterprises need one authority model and one evidence trail across the places agents operate.
Enterprises will not scale autonomous agents until they can control their authority, not merely monitor their behavior.
Tegrix runs live at runtime boundaries across multiple clouds -- and every claim on this site traces to a recorded decision.