| What it does | 3D spatial perception and 4D radar-vision fusion for autonomous machines and robotics
| AI execution infrastructure that turns mission-critical manual tasks into reliable, paid AI services
|
|---|
| Stage | Established
| Not given
|
|---|
| Founded | 2001
| Not given
|
|---|
| Based in | CA
| Not given
|
|---|
| Pricing model | Not given
| Contact for pricing
|
|---|
| Pricing | Not given
| Not given
|
|---|
| Key features | - 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
| - Job of Work Mapper: identifies valuable processes and maps required outcomes, steps, systems and stakeholders
- Execution Engine: manages multi-week or multi-month workflows with fault tolerance, checkpoints and error recovery
- Built-in stakeholder management: communicates with stakeholders across channels and escalates exceptions
- Intelligence flywheel: captures execution data to benchmark models, improve accuracy and optimise costs
- Small focused AI models in deterministic graph: reduces errors and cost vs single large models
- Fully auditable and explainable execution
- Durable execution engine with checkpoints and automated recovery
|
|---|
| What makes it different | - 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
| - Handles multi-stakeholder workflows spanning days, weeks or months without requiring core product rebuild
- Partners keep control of brand and customer relationships while using platform for execution
- Usage-based pricing aligns fees with completed outcomes rather than features
- Small focused AI models designed for accuracy and repeatability in high-trust workflows
- Includes mapping stage to validate commercial viability before significant investment
|
| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 29 ● no change since last check | 12 ● no change since last check |
| Trust Flow (Majestic) | 21 | 8 |
| Citation Flow (Majestic) | 18 | 29 |
| Referring domains (Majestic) | 22 | 64 |