| What it does | AI data platform that turns field operations data into actionable tasks
| Execution governance for consequential AI-agent operations
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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
| Free engine (MIT/Apache-2.0 open source). Team tier: €1,900/month including 25 writing seats and 50,000 governed actions per month; overage €0.02 per action above 50k monthly. Enterprise: from €90,000/year. Design partner program: €18,000 for 90 days (credited against first annual contract). Add-ons
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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
| - Authority revalidation at dispatch time against live conditions
- Approval binding to canonical intent with single-use, time-bound enforcement
- Sequence and prerequisite policy enforcement at plan time and runtime
- Effect identity matching to prevent duplicate actions across runs
- HMAC-signed, hash-chained, and Ed25519-anchored evidence
- Cross-session capacity ledger for aggregate exposure control
- Verifiers in five languages for independent offline verification
- MCP server support for integration with Claude Code, Cursor, and other agents
- Air-gapped deployment with documented key ceremony on Enterprise
- Deterministic Rust enforcement engine with no models in the decision path
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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
| - Authority is revalidated at the moment of execution, not just at approval time
- Signed, verifiable evidence allows third-party audit without trusting the vendor
- Deterministic enforcement with no AI models influencing the gate decision
- Pricing on governed actions, not seats, aligned with consequence not headcount
- Refusals and verification are never metered or charged
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 32 ▲ +1 (up) since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 9 | 0 |
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| Citation Flow (Majestic) | 34 | 0 |
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| Referring domains (Majestic) | 141 | 0 |
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MODE BizStack
Rigorix