Trust infrastructure for the AI economy
AI broke digital trust. inVerus rebuilds it in real time.
inVerus makes trust programmable by turning live, observable evidence into dynamic trust intelligence that systems can use.
Evidence in. Confidence out.
The App
Know who's real.
The trust layer for the internet.
Interface preview.
The Trust Gap
Trust is real. It just isn’t connected.
Existing digital trust systems are real and sophisticated. The gap is that trust remains fragmented across products, institutions, workflows, and use cases.
The AI economy needs a broader trust layer: always on, observable, continuously updated, and usable across humans, organizations, agents, models, applications, and actions.
“inVerus makes trust programmable by turning live, observable evidence into compounding confidence that systems can use.”
The Solution
inVerus turns trust into a live signal.
Instead of relying on one-time checks, inVerus continuously evaluates whether a person, organization, AI agent, action, or interaction can be trusted, and returns dynamic trust intelligence through APIs before systems act.
How It Works
From live evidence to programmable confidence.
inVerus does not ask only whether an entity was verified once. It asks how much a system should trust that entity or action right now, given the evidence available, then resolves those signals into intelligence that systems can act on.
inVerus Trust Engine
Every step happens continuously, not once at onboarding, for as long as the relationship lasts.
Product Ecosystem
One trust layer. Multiple operating surfaces.
inVerus is the infrastructure layer. The product ecosystem turns that trust layer into practical surfaces for developers, platforms, enterprises, and AI-agent ecosystems.
Trust Resolution Engine
The core system that connects, interprets, and compounds evidence into usable trust intelligence. Every surface below feeds it, and draws from it.
ClawdBase
Agent discovery, provenance, creator verification, and trust signals.
MySanctum
User-controlled identity, attribution, permissions, and ownership proofs.
Trust APIs
Programmable trust infrastructure for platforms, developers, and enterprises.
Agent911
Signal reporting and intelligence ingestion for problematic agents, identities, and interactions.
Credibility
Built on protected trust architecture.
inVerus is backed by issued patents and a trust architecture developed before AI-agent trust became an obvious market. The company’s focus is turning that architecture into usable infrastructure for platforms, enterprises, and autonomous systems.
Who It Serves
Programmable trust for systems that need confidence before action.
AI Platforms
Evaluate agents, actions, provenance, and authorization before execution.
Enterprises
Assess vendors, workflows, autonomous systems, and identity risk across operational contexts.
Developers
Build with trust signals, verification primitives, and programmable APIs.
Fintech & Marketplaces
Add dynamic trust intelligence to high-risk interactions, transactions, and counterparties.
Agent Ecosystems
Support agent discovery, creator verification, provenance, and agent-to-agent accountability.
The Team
Built by people who have done this before.
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Contact
The next internet needs a trust layer.
inVerus is building programmable trust infrastructure for a world where identity, authority, and action can all be simulated.