| What it does | AutoML that just works. Keep training local.
| Smart-Data platform for autonomous systems
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| Stage | MVP
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| Founded | Not given
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| Based in | Not given
| FR
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| Pricing model | Free trial
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| Pricing | Free beta with no billing. Paid plans launching in the future; pricing not yet announced. Join the waitlist for paid plans without payment or purchase commitment.
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| Key features | - Python SDK for tuning suggestions
- Local model training with remote suggestions
- Supports classification and regression
- Included CPU demo workloads
- Efficient observation budget allocation
- Model ranking and selection
- Reference scheduler implementations
- HTTPS secure communication
| - Event-based data extraction with configurable triggers at edge or cloud
- Over-the-air trigger updates
- Real-time smart anomaly monitoring
- Cloud infrastructure for secure data storage and analysis
- No-code data analytics for ROS systems
- Multi-layered security with OAuth 2.0, JWT and HTTPS TLS
- Unlimited deployments across autonomous fleet with adaptive SDK
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| What makes it different | - Trains locally, not on the service—your models and data stay on your computer
- Efficient tuning using only half the observation budget of full training
- Outperforms reference schedulers in benchmarks on diverse datasets
- Free beta with no billing or account costs
| - Transforms big data into smart data through intelligent filtering at edge or cloud
- Captures only pivotal scenarios relevant to development needs
- Improves productivity by reducing data overload and enabling collaboration
- Supports sustainable development with reduced computational and energy requirements
- ROS-native platform for seamless robotics integration
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | 32 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 3 | 10 |
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| Citation Flow (Majestic) | 13 | 25 |
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| Referring domains (Majestic) | 2 | 125 |
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hyperopt.dev