| What it does | The verification layer for AI code change
| AI execution infrastructure that turns mission-critical manual tasks into reliable, paid AI services
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| Stage | MVP
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| Founded | Not given
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| Pricing model | Freemium
| Contact for pricing
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| Pricing | Free plan: $0/mo with 500 verifications/mo and unlimited local CLI runs. Pro: $59/mo with 10,000 verifications/mo (early access). Scale: $300/mo with 100,000 verifications/mo (early access). Enterprise: Custom pricing (early access).
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| Key features | - Verify arbitrary diffs from agents, codemods, or humans
- Three-verdict system: SAFE, UNSAFE, UNPROVEN
- Runs test suite on isolated shadow tree copy
- Changed-line coverage attestation for Python
- Reproducible verification report with audit-grade record
- MCP server for AI agents to verify before landing
- CI gate that blocks unsafe merges
- Syntax and imports validation gates
- Runs locally with no code upload to external service
| - Job of Work Mapper: identifies valuable processes and maps required outcomes, steps, systems and stakeholders
- Execution Engine: manages multi-week or multi-month workflows with fault tolerance, checkpoints and error recovery
- Built-in stakeholder management: communicates with stakeholders across channels and escalates exceptions
- Intelligence flywheel: captures execution data to benchmark models, improve accuracy and optimise costs
- Small focused AI models in deterministic graph: reduces errors and cost vs single large models
- Fully auditable and explainable execution
- Durable execution engine with checkpoints and automated recovery
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| What makes it different | - Only system that proves changed lines are actually tested, not just that tests pass
- Works with any AI coding agent and integrates via MCP
- Code never leaves your machine; runs entirely locally
- Free local CLI with unlimited verifications, paid only for managed infrastructure
| - Handles multi-stakeholder workflows spanning days, weeks or months without requiring core product rebuild
- Partners keep control of brand and customer relationships while using platform for execution
- Usage-based pricing aligns fees with completed outcomes rather than features
- Small focused AI models designed for accuracy and repeatability in high-trust workflows
- Includes mapping stage to validate commercial viability before significant investment
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 2 ● no change since last check | 12 ● no change since last check |
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| Trust Flow (Majestic) | 0 | 8 |
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| Citation Flow (Majestic) | 15 | 29 |
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| Referring domains (Majestic) | 4 | 64 |
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Refactron™
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