| What it does | AI data platform that turns field operations data into actionable tasks
| Continuous performance testing for your CI that catches regressions before they reach production
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| Stage | Established
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| Founded | 2014
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| Based in | US
| FR
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| Pricing model | Not given
| Freemium
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| Pricing | Not given
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| Key features | - AI event detection from cameras and sensors
- Operational context checking against schedules, rules, and locations
- Automated task creation and routing
- Task ownership tracking and completion confirmation
- Unified data layer across multiple sources
- Operational reporting and summarization
| - Automatic benchmarking in CI
- Low-noise performance data with variance below 1%
- AI-enhanced differential flamegraphs
- Automated performance fixes with Optimization Agent
- GitHub integration
- CPU, memory, and wall-time profiling
- Bare-metal macro runners for isolated testing
- Support for Rust, Python, Node.js, C++, Go, and Java
- Performance gating and merge blocking
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| What makes it different | - Connects field events to operational context for intelligent responses, not just alerts
- Automates repetitive manual field work across detection, checking, routing, and follow-up
- Production-ready foundation enables partners to focus on domain expertise
- Proven deployment across multiple industries and countries
| - AI automatically identifies bottlenecks and proposes fixes
- Integrates seamlessly into existing CI workflows and benchmark frameworks
- Free for open-source projects and up to 5 users on private repos
- Detects regressions before they reach production
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 32 ▲ +1 (up) since last check | 66 ● no change since last check |
| Trust Flow (Majestic) | 9 | 18 |
| Citation Flow (Majestic) | 34 | 37 |
| Referring domains (Majestic) | 141 | 534 |