| What it does | AI data platform that turns field operations data into actionable tasks
| 3D spatial perception and 4D radar-vision fusion for autonomous machines and robotics
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| Stage | Established
| Established
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| Founded | 2014
| 2001
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| Based in | US
| CA
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| Pricing model | Not given
| Not given
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| Pricing | Not given
| 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
| - 3D and 4D spatial perception with radar-vision fusion
- 20× faster annotation, 100× quicker ground truth generation, 4× faster training
- Support for NVIDIA Jetson, NXP processors, and embedded platforms
- Object classification, 2D/3D detection, instance and semantic segmentation
- Au-Zone Maivin vision module for object detection and segmentation
- Au-Zone Raivin 4D imaging radar with camera for challenging conditions
- Reliable perception in dust, fog, rain, and darkness
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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
| - Industry-first low-level radar-vision fusion engine
- Deploy from development to production in months instead of years
- Over 20 years of embedded engineering expertise
- Field-ready hardware modules optimized for cost, performance and reliability
- Seamless path from development to deployment with ready-to-use modules
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 32 ▲ +1 (up) since last check | 29 ● no change since last check |
| Trust Flow (Majestic) | 9 | 21 |
| Citation Flow (Majestic) | 34 | 18 |
| Referring domains (Majestic) | 141 | 22 |