THE TRUST & VERIFICATION LAYER FOR AI AGENTS

AI Is Powerful.
Trust Must Be
Engineered.

Building verification infrastructure for the next generation of intelligent systems.

Investor Relations
VERIFICATION MODELR&D / 01
01 / Evidence02 / Evaluation03 / Review

Conceptual architecture · not a live product demonstration

OBSERVEREASONVERIFYACT WITH EVIDENCE

01 / THE PROBLEM

Intelligence without evidence is a liability.

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.

01

Trace the evidence

Connect a claim to its sources, context and limitations.

02

Evaluate the output

Test quality against explicit criteria, not confidence alone.

03

Keep humans in control

Make uncertainty visible before a consequential action.

02 / FROM PRODUCTS TO INFRASTRUCTURE

Two entry points. One verification thesis.

Scientific reasoning and visual web intelligence provide the starting assets. Shared verification infrastructure is the next research objective.

Existing product

Scientific reasoning

SinaPilot

Source-grounded research, structured summaries and evidence analysis for scientific teams.

  • PubMed & Europe PMC
  • Evidence synthesis
  • Source-linked Q&A
Explore product ↗
Existing product

Visual web intelligence

Snapshot Site

Rendered web capture and visual analysis infrastructure for developers and AI agents.

  • Screenshot & PDF
  • Visual comparison
  • MCP, CLI & SDKs
Explore product ↗
Proposed R&D

Shared verification infrastructure

NEXORYN VERIFY

A proposed common layer to connect agent outputs with evidence, evaluation and review.

  • Evidence & provenance
  • Evaluation protocols
  • Human review
Join the research journey

03 / BUILT FOR REAL WORKFLOWS

Start with a problem. Define what proof looks like.

Explore use cases

ENTERPRISE

Enterprise teams

Evaluate scientific evidence or validate what a web agent actually did. Scope a pilot around your workflow.

Request a pilot

DEVELOPER

Developers

Help define a proposed verification API: provenance, evaluation results and review hooks.

Join early access

INVESTOR

DeepTech investors

Assess the existing assets, research milestones and evidence needed to build a defensible infrastructure venture.

Explore the thesis

BUILD WITH US

Trust is an engineering challenge. Let’s work on it together.

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