| What it does | Search, visualize, curate, and label multimodal data for physical AI models
| AI agents do the busywork, your team makes the calls
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| Stage | Established
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| Founded | 2018
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| Based in | US
| AT
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| Pricing model | Paid
| Open source
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| Pricing | Not given
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| Key features | - Natural language search across datasets
- Synchronized multimodal playback with video, 3D, sensors, and maps
- Automated annotation quality assurance
- VLM-assisted labeling and active learning
- Agentic data work automation
- Model evaluation and failure pattern detection
- Dataset versioning and comparison
- Support for billions of samples
- Role-based access controls and SSO
| - Requirements review agent that checks requirements for testability and clarity
- Test design agent that writes and refines test cases
- UI test execution without scripts or locators
- API test execution with JSON Schema and OpenAPI validation
- Defect reporting with screenshots and logs
- Integrated knowledge base with RAG access to project documentation
- Self-hosted models support including OpenAI-compatible providers
- Connected to Jira, Confluence, and Zephyr
- Supports Linux and Windows operating systems
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| What makes it different | - Unified platform keeps data iteration continuous across the entire workflow
- Search and curate across multimodal data types in one place
- Agentic workflows automate repetitive data tasks
- Built on open source FiftyOne toolkit
- Deployed in regulated industries with full compliance and governance controls
| - Runs entirely in your infrastructure with self-hosted models, not a SaaS product
- Covers the whole test process from requirements to reporting, end-to-end
- Tests from the screen like a human would, not through code or locators
- Learns from human demonstration and improves over time
- One test case works across any language or UI format without translation files
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 70 ● no change since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 23 | 0 |
| Citation Flow (Majestic) | 47 | 0 |
| Referring domains (Majestic) | 1128 | 0 |