| What it does | AI data platform that turns field operations data into actionable tasks
| An approval layer for unattended AI agents that halts risky actions for human approval before execution
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| Stage | Established
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| Founded | 2014
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| Based in | US
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| Pricing model | Not given
| Freemium
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| Pricing | Not given
| Self-hosted: Free (MIT licensed). Hosted Indie: $49/mo (2 seats, monthly governed-action ceiling, 30-day retention, email support). Hosted Team: $199/mo (10 seats, higher governed-action ceiling, 90-day retention, org-scoped rate limits, priority support).
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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
| - Intercepts risky agent actions before execution
- Works with Claude Code, Codex, Hermes, OpenClaw, and MCP
- Policy-based risk scoring and decision making
- Remote approvals from phone or browser
- Signed audit ledger with replayable records
- Calibrated interruptions that reduce false positives
- Enforcement liveness monitoring via synthetic probes
- Self-hosted (MIT licensed) or managed hosting options
- Approvals inbox with decision ledger and policies
- Agent defense documentation with assumptions and shields
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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
| - Only approval layer that protects unattended runs that walk away
- Signed ledger with replayable audit records and explicit signature verification
- Self-hosted with no infrastructure lock-in or vendor dependency
- Learns from your approvals to reduce interruptions automatically
- Honest about enforcement boundaries across different integrations
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 32 ▲ +1 (up) since last check | 8 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 9 | 3 |
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| Citation Flow (Majestic) | 34 | 30 |
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| Referring domains (Majestic) | 141 | 88 |
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MODE BizStack
DashClaw