| What it does | AI agents that prevent production incidents by verifying changes and investigating alerts
| AI execution infrastructure that turns mission-critical manual tasks into reliable, paid AI services
|
|---|
| Stage | Not given
| Not given
|
|---|
| Founded | 2023
| Not given
|
|---|
| Based in | US
| Not given
|
|---|
| Pricing model | Paid
| Contact for pricing
|
|---|
| Pricing | Team $700/month (1,400 credits), Pro $1,500/month (3,000 credits), Scale $3,000/month (6,000 credits), Enterprise custom annual billing. Change verification costs 2 credits ($1), issue investigation costs 10 credits ($5), chat requests 1 credit per started minute after first 30 seconds ($0.50/minute
| Not given
|
|---|
| Key features | - Production change verification with up to 14-day monitoring
- Automated root cause analysis for production issues
- Fix pull request generation with production evidence
- Environment graph mapping services and dependencies
- Alert deduplication and false positive dismissal
- Operational memory accumulating across investigations
- Integration with Slack, Microsoft Teams, and web app
- SOC 2 Type II compliance and read-only by default
- MCP (Model Context Protocol) server support
- Custom agents and alert routing
| - 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
|
|---|
| What makes it different | - Verifies production changes against real traffic for up to 14 days
- Hands off fix pull requests with production evidence for review
- Closes false positives and investigates only real production issues
- Learns from each fix and compounds knowledge across the team
- Read-only by default with full audit trails and SOC 2 Type II compliance
| - 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
|
| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 47 ● no change since last check | 12 ● no change since last check |
| Trust Flow (Majestic) | 11 | 8 |
| Citation Flow (Majestic) | 36 | 29 |
| Referring domains (Majestic) | 265 | 64 |