| What it does | Enterprise AI system of record for governing and operationalizing AI at scale
| Context gateway that gives coding agents verified codebase knowledge to skip rediscovery and work faster
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| Stage | Established
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| Founded | 2018
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| Based in | US
| US
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| Pricing model | Contact for pricing
| Freemium
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| Pricing | Not given
| Standard: Usage-based pricing with 25 free credits at signup, unlimited repos and run minutes. Enterprise: Outcome-based pricing with all Standard features plus self-hosted licensing, SSO/SAML, audit logs, private runners, and advanced support.
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| Key features | - Centralized system of record across every model, solution, and agent
- Automated workflows with governance embedded by design
- Full portfolio visibility into cost, tokens, risk and ROI
- Dynamic interoperability across 50+ technologies
- Connective automation for IT, business, and AI owners
- Agentic-powered framework for end-to-end AI lifecycle workflows
- Operational intelligence across ML, GenAI, agentic and vendor AI
- Audit-ready evidence mapped to every regulation and policy
| - Verified context injection for coding agents
- Automatic repository baseline generation and validation
- Genome context graph showing dependencies and risk
- DocuSOR MCP for agent context access
- Pull request status checks and gating
- Documentation claim testing for README and runbooks
- Isolated cloud sandbox for validation runs
- GitHub App integration with read-only repository access
- SOC 2 Type 1 compliance
- TLS encryption in transit and at-rest data protection
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| What makes it different | - Brings ML, GenAI, and agentic AI to production 10× faster
- System of record that unifies every AI asset in one place
- Reduces time from idea to production to weeks at industrial scale
- Enforces policy and governance at delivery time, not in committee
- Operates above existing systems without replacing them
| - 77% faster agent execution compared to manual repository exploration
- Up to 64% lower token costs measured on Claude Opus 5.5
- 100% deterministic validation without LLM/RAG dependencies
- Automatic context sharing across all agents via MCP
- Works with any coding agent through standard MCP protocol
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 62 ● no change since last check | 5 ● no change since last check |
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| Trust Flow (Majestic) | 13 | 4 |
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| Citation Flow (Majestic) | 39 | 17 |
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| Referring domains (Majestic) | 579 | 9 |
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ModelOp
DocuSOR