From generated code to verified software

AI agents can write software.
Vitron makes sure it works.

Vitron is building execution and verification infrastructure for AI-powered software development.

Give agents a way to run what they create, test real behavior, evaluate outcomes, and return evidence they can act on.

A new development loop

More code is being written.
Verification still has to catch up.

AI agents can generate and change software quickly. The work is not complete until that software runs, behaves as intended, and produces results people and agents can trust.

Generate

Agents create and modify software at a pace that changes how development work gets done.

Execute

Generated code must run in a real environment before anyone can know what it actually does.

Verify

Agents need useful tests, meaningful evaluation, and evidence to guide the next change.

The verification loop

Build. Run. Learn. Repeat.

A conceptual view of software verification when an AI agent is part of the development process.

AI agent
Build software
Execute
Test
Evaluate
Verify
Evidence / verdict
Agent iterates

See it in action

Meet the infrastructure behind your agent loop.

Explore Alethia’s runtime demo, local execution, and reviewable run evidence.

Explore the platform

Who it is for

For the people building with AI agents.

Agent builders

Give software agents a path to execute and verify the applications they help create.

Developer-tool teams

Add software testing and verdicts to AI-assisted development workflows.

Engineering teams

Make generated changes easier to exercise, inspect, and evaluate.

Security-conscious teams

Run verification locally, including in air-gapped environments, while keeping application data and run evidence within your infrastructure.

Get started

Put the runtime in your agent loop.

Install Alethia, connect it to your agent through MCP, and try browser-based verification on a local application.

01 · Install

Add the runtime

npm install -g @vitronai/alethia

02 · Connect

Configure your agent

{
  "mcpServers": {
    "alethia": {
      "command": "alethia-mcp"
    }
  }
}

03 · Verify

Give it a task

Test my app at http://localhost:3000 — verify that the main heading is visible and take a screenshot.

Trust and control

Safety belongs in the execution path.

Alethia’s policy behavior, approval flow, and run records are documented on the Safety page.

Read about existing safety controls

Technical proof

Show the work behind the claims.

Performance and token measurements belong with their scenarios and reproduction instructions. Review the benchmark notes before comparing results.

Runtime benchmarks Compare approaches