| What it does | AutoML that just works. Keep training local.
| AI infrastructure performance testing and autonomous operations platform
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| Stage | MVP
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| Founded | Not given
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| Based in | Not given
| US
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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
| - Automated infrastructure provisioning including OS, BIOS, firmware and VMs
- Fleet-wide infrastructure health monitoring and anomaly detection
- Autonomous incident remediation with human-in-the-loop controls
- Hardware and infrastructure recommendations from benchmark results
- Natural-language based reporting and analytics
- Benchmark-grounded quality gates for model verification
- Industry-specific AI agents with domain data and system integrations
- Transparent cost reporting and budget control
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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
| - Autonomous infrastructure management with specialist agents and human-in-the-loop safety
- Intelligent routing delivers 85% cost reduction and $100K+ savings per developer
- SOC 2 Type 2 and ISO 27001 certified for enterprise compliance
- Purpose-built agents for specific industries including datacenters, insurance, and manufacturing
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | 19 ● no change since last check |
| Trust Flow (Majestic) | 3 | 14 |
| Citation Flow (Majestic) | 13 | 26 |
| Referring domains (Majestic) | 2 | 28 |