| What it does | AutoML that just works. Keep training local.
| Self-Improving Defense platform that protects from AI attacks
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| Stage | MVP
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| Founded | Not given
| 2022
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| Based in | Not given
| US
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| Pricing model | Free trial
| Contact for pricing
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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
| - Acts directly in EDR, cloud, Active Directory, and SIEM
- Investigates every alert to a verdict with reasoning, not playbooks
- AI SOC Agent for automated alert triage and response
- AI Threat Hunt Agent for hypothesis-driven threat detection
- AI Pentest Agent for continuous, on-demand offensive testing
- AI NetSecOps Agent for firewall and network operations
- Context Lake for organization-wide persistent memory of assets and verdicts
- Multi-tenant isolation with per-tenant reasoning for MSSPs
- Hardened against prompt injection and data poisoning
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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
| - Responds to every alert in under 4 minutes on average
- 95% of proposed actions approved by your own analysts
- Self-improves by learning from analyst corrections
- Onboards tenants in hours, not months
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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 | 44 ● no change since last check |
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| Trust Flow (Majestic) | 3 | 17 |
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| Citation Flow (Majestic) | 13 | 36 |
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| Referring domains (Majestic) | 2 | 356 |
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hyperopt.dev
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