| What it does | AI data platform that turns field operations data into actionable tasks
| AI agent observability, tracing and evaluation platform
|
|---|
| Stage | Established
| Not given
|
|---|
| Founded | 2014
| Not given
|
|---|
| Based in | US
| Not given
|
|---|
| Pricing model | Not given
| Freemium
|
|---|
| Pricing | Not given
| Not given
|
|---|
| 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
| - Trace viewer showing model calls, tool calls, and retrievals
- Cost tracking per step with latency and token counts
- Root cause detection for failures
- Live streaming and replay of agent runs
- Automatic secret redaction before data transmission
- Semantic search across runs and steps
- Support for multiple frameworks and languages
- Evaluations and datasets for quality assessment
- Slack alerts and release gates
- Collaboration and code review tools
|
|---|
| 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
| - One-line setup with automatic detection of model and tool calls
- Identifies first failure point instead of surface errors
- Per-step cost visibility with no monthly surprises
- Automatic secret stripping keeps sensitive data local
- No agent code rewriting required
|
| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 32 ▲ +1 (up) since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 9 | 0 |
| Citation Flow (Majestic) | 34 | 22 |
| Referring domains (Majestic) | 141 | 1 |