| What it does | AI agent observability for Elixir
| 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 | 2026
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| Based in | Not given
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| Pricing model | Freemium
| Contact for pricing
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| Pricing | Free: €0/month with 100,000 accepted events/month, 100 MB/hour, 14 days retention, 1 project, 2 users. Pro: €29/month with 1,000,000 accepted events/month, 2.5 GB/hour, 30 days retention, unlimited projects and users. Scale: €99/month with 10,000,000 accepted events/month, 5 GB/hour, 90 days retenti
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| Key features | - Model and tool call tracing in unified timeline
- Inspect failed steps with inputs and outputs
- Monitor throughput, latency, errors, tokens, and cost
- Single Elixir dependency for instrumentation
- Configurable event filters and analytics
- Shared team visibility across agent runs
- Real-time observation of agent execution
- Configurable data retention by plan
| - 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 | - Purpose-built for Elixir and BEAM applications
- Unified view of model and tool calls with context
- Minimal setup with one dependency and endpoint configuration
- Alerting built on existing tracing and monitoring data
| - 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) | Not checked yet ● no change since last check | 12 ● no change since last check |
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| Trust Flow (Majestic) | 2 | 8 |
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| Citation Flow (Majestic) | 8 | 29 |
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| Referring domains (Majestic) | 35 | 64 |
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