| What it does | Ship agents into systems you can't afford to break
| AI model of your product's business logic accessible to people and AI agents
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| Stage | Not given
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| Founded | Not given
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| Based in | IL
| GB
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| Pricing model | Freemium
| Freemium
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| Pricing | Free plan includes 125,000 tasks and 75,000 triggers monthly with 5 seats and 1 on-prem agent. Starter: $29/month or $24/month billed annually. Business: $289/month or $240/month billed annually. Enterprise: custom pricing.
| Free: 10,000 starting credits plus 1,000 per month. Engineering: $29 per active developer per month with 30,000 pooled credits each month. GitMir Vibe: $9 per person per month. Cloud Compute: $99 per project per month. MeetAI: $49 per project per month. GoBots: $99 per venture per month. Market: $49
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| Key features | - MCP server for AI agents and assistants
- Python and TypeScript SDKs
- REST API and CLI for scripts and coding agents
- No-code workflow canvas
- Managed authentication to connected systems
- Audit trail of agent actions
- Tool permissions scoped per agent
- On-premises agent for systems behind firewall
- Native integrations with Zendesk, Intercom, Freshdesk, ServiceNow, SAP, NetSuite, Salesforce
- Root cause analysis and backend execution of fixes
| - Builds features, rules and customer paths and keeps them current with every push
- Shows what each commit changed in the business logic, not only in the code
- Provides change impact analysis before merge showing what could break
- Checks PRDs and specifications against the product
- Delivers understanding to AI agents over MCP
- Runs locally on your machine with GMM Local
- Finds risky patterns and problems in the product
- Enterprise deployment inside your security boundary
- Integrates with Claude Code, Cursor, Codex and VS Code
- MCP access for agents with 1-10 credits per answer
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| What makes it different | - Secure enterprise-grade controls including granular tool permissions, audit trails, and versioning without sacrificing automation speed
- Autonomous AI agents that execute fixes end-to-end rather than just deflecting to chatbots or escalations
- Multiple interface options including MCP, SDKs, API, CLI, and no-code canvas for different developer and non-developer needs
- On-premises deployment capability for regulated or sensitive systems behind firewalls
- Seamless integration with entire enterprise tech stack including ERP, CRM, helpdesk, and observability platforms
| - Nearly 3× fewer errors on Benchmark 001 compared to alternatives
- 8.4K tokens per question instead of 27.4K for competitors
- Results published and measurable; method is proprietary
- Reduces AI cost per completed agent action from $0.35 to $0.08
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 33 ● no change since last check | 27 ● no change since last check |
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| Trust Flow (Majestic) | 5 | 3 |
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| Citation Flow (Majestic) | 31 | 28 |
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| Referring domains (Majestic) | 75 | 50 |
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Engini
GitMir