Trace the evidence
Connect a claim to its sources, context and limitations.
THE TRUST & VERIFICATION LAYER FOR AI AGENTS
Building verification infrastructure for the next generation of intelligent systems.
Investor RelationsConceptual architecture · not a live product demonstration
01 / THE PROBLEM
AI systems can produce convincing answers. Enterprises need to know where those answers came from, what was checked and when a human should step in.
Connect a claim to its sources, context and limitations.
Test quality against explicit criteria, not confidence alone.
Make uncertainty visible before a consequential action.
02 / FROM PRODUCTS TO INFRASTRUCTURE
Scientific reasoning and visual web intelligence provide the starting assets. Shared verification infrastructure is the next research objective.
Scientific reasoning
Source-grounded research, structured summaries and evidence analysis for scientific teams.
Visual web intelligence
Rendered web capture and visual analysis infrastructure for developers and AI agents.
Shared verification infrastructure
A proposed common layer to connect agent outputs with evidence, evaluation and review.
03 / BUILT FOR REAL WORKFLOWS
ENTERPRISE
Evaluate scientific evidence or validate what a web agent actually did. Scope a pilot around your workflow.
Request a pilotDEVELOPER
Help define a proposed verification API: provenance, evaluation results and review hooks.
Join early accessINVESTOR
Assess the existing assets, research milestones and evidence needed to build a defensible infrastructure venture.
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