| What it does | AI execution infrastructure that turns mission-critical manual tasks into reliable, paid AI services
| See where your AI coding agent's tokens go, cut the waste without breaking the prompt cache, and get a receipt for every saving
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| Stage | Not given
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| Founded | Not given
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| Pricing model | Contact for pricing
| Freemium
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| Pricing | Not given
| Free for open source (Wrapped, all fixes with undo, receipt, skill, plugin, MCP server). Team: $30 per developer, or 10% of verified savings, whichever is lower (spend by engineer, cost per merged PR, CI gate). Enterprise: contact for self-hosted, SSO, finance exports, procurement-grade reports.
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| Key features | - 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
| - Session log analysis with token pricing breakdown
- Categorized spending attribution by startup context, tool output, sub-agents, and cache rebuilds
- Safe automatic fixes for output trimming and cache countdown
- Undo capability for all changes
- Receipt comparing cost-per-commit before and after with 90% confidence range
- Shareable card with visualization of token usage
- Command output trimming to reduce context bloat
- Cache expiration countdown in status line
- MCP server integration for any agent
- Claude Code plugin with skill and MCP server
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| What makes it different | - 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
| - Reads actual logs your agent already keeps, not a third-party service
- Fixes only trim new content without rewriting cache to preserve prompt optimization
- Open source under Apache 2.0 with no incentive to make you spend more tokens
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 12 ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 8 | 0 |
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| Citation Flow (Majestic) | 29 | 0 |
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| Referring domains (Majestic) | 64 | 0 |
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