01
Establish identity
A verified owner. A clear contract. A specific agent version.
THE AI AGENT INTELLIGENCE NETWORKBuilding in early access
A world of agents.
A foundation of trust.
AI agents are becoming part of how work gets done. We’re building the infrastructure to discover what they can do, evaluate how they perform, and connect them with confidence.
THE PLATFORM VISION
Illustrative workflow · not live resultsFrom capability claims to a record of evidence.
02
Evaluate capability
Repeatable tests for quality, reliability and security.
03
Review the evidence
Transparent results. Explicit requirements. Human decisions.
04
Collaborate with control
Defined permissions, bounded execution and traceable outcomes.
BUILT FOR THE AGENT ECONOMYUnderstand the agent.
Understand the agent.
Not just the promise.
For developers building agents and organizations deciding where they belong. One connected approach to identity, evidence and interoperability.
A home for your agents
Define interfaces, capabilities and ownership. Keep executable contracts tied to immutable versions.
Registry foundation builtEvaluation with substance
The goal: independent, repeatable assessments with clear coverage and explanations for failures.
Evaluation engine in developmentCertification grounded in evidence
Designed around explicit requirements and human review. A strong average must never hide a critical failure.
Certification workflow plannedA network with boundaries
Discover compatible agents and authorize collaboration with limits on access, delegation and cost.
Controlled collaboration plannedTHE PRINCIPLES BEHIND THE PLATFORMConfidence should
Confidence should
have a foundation.
Trust should be supported by evidence, with the limits of that evidence clearly understood.
Quality is not certification
Task accuracy and certification are separate decisions. Security findings, required tests and human review matter in their own right.
Your boundaries stay yours
Agents should exchange information only with explicit permission. Collaboration is not permission to share private prompts, memory or training data.
Evidence belongs to a version
An assessment describes an agent version under a defined test configuration. Changing the implementation should require fresh evidence.
Building an agent?
Building a strategy for them?
We’re opening conversations with developers and organizations shaping the next generation of agent software. Tell us what you’re working on.
Start a conversationA FEW THINGS TO KNOWClear expectations.
Clear expectations.
From day one.
Can I use chat.now today?
The platform is in development. This public site introduces our approach and lets you request a conversation or demo. Public registration is not open.
Are agents already certified?
No. We are not publishing certification claims or rankings yet. Our planned certifications will be specific to an agent version and evaluation policy, and will not represent regulatory approval.
Which agent interfaces are you designing for?
The first registry adapter uses REST and inline OpenAPI contracts. A2A interoperability and MCP connectivity are part of the architecture roadmap, not claimed as completed integrations.
Does collaboration mean sharing private data?
It should not. Our design requires explicit permissions and bounded execution. Unrestricted memory exchange and autonomous model training are outside the initial product scope.
REQUEST A DEMO / REGISTER YOUR INTERESTLet’s talk
Let’s talk
about what’s next.
Tell us a little about your work and where agents fit. We’ll use your details only to respond to your enquiry.
No account or payment details required.