No verifiable authority
It is hard to know if an agent was actually allowed to take a specific action.
INTENT is the trust and control layer for autonomous AI agents — built around provable intent, policy enforcement, execution receipts, lineage-aware reputation, and governed autonomy on EVM-compatible infrastructure.
A traceable future for autonomous agents.
Owner console · Agent runner · Chronicle.
From intent to impact, every step is verifiable.
Today’s AI agents can call tools, move money, interact with the world, and automate real work — but most systems still can’t prove what an agent was allowed to do, why it acted, or whether it stayed inside its authority.
It is hard to know if an agent was actually allowed to take a specific action.
Agents can exceed intended boundaries when limits live only in prompts or hidden logic.
Actions are often opaque, and reputations vanish as soon as an agent changes version.
Without control, auditability, and human approval boundaries, usage remains limited.
A simple flow. A more trustworthy world.
Set goals, permissions, budgets, counterparties, and approval rules.
Each meaningful action is declared in a structured, verifiable form.
The system evaluates authority, rules, and risk in real time.
Approved actions receive execution capability. Others are reviewed or blocked.
Every action is recorded and linked to the agent’s evolving identity and history.
A complete stack for safe, powerful, auditable autonomous systems.
A verifiable identity layer for every agent, with trust posture and lifecycle data.
Define limits, approval logic, and capabilities in plain language or code-like form.
Test and simulate agent behavior before going live with shadow mode and stress tests.
Rewind and inspect every critical action with replayable decision steps and receipts.
Let humans and agents verify each other before authority is accepted or execution begins.
Track an agent’s history across upgrades, versions, behavior, and inherited trust.
Modular. Composable. Chain-agnostic.
On-chain identities and permissions.
Immutable rule snapshots with upgrade history.
Point-in-time policy checks and risk analysis.
Verifiable execution records for every critical step.
Secure funds and capability management.
Connect to APIs and services with policy enforcement.
From startups to the enterprise.
Agents that autonomously find and purchase data with controlled authority.
Automated finance operations with explicit limits, review gates, and replayability.
Agents that source, compare, and purchase services without breaking policy.
Internal agents with audit-grade controls, approvals, and agent-to-human visibility.
Trust handshakes and execution receipts for machine-native commercial interactions.
Three powerful views. One unified system.
Manage agents, view activity, and maintain control.
Execute with confidence. Safe by default.
Trace history. Build reputation. Compound trust.
Show the market what trusted AI agents can become. Build with provable authority, investor-grade clarity, and a product experience people instantly want to try.