| What it does | AutoML that just works. Keep training local.
| One place to understand and operate AI agents across Microsoft
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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
| Free
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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
| - Agent Estate Review: read-only review connecting fragmented agent ownership, capability, usage, cost, and risk records
- Helpdesk Triage: AI ticket triage for SharePoint service desks with operator approval
- Agent Workbench: open, refine, and export Microsoft 365 Copilot agent packages
- 30/60/90-day operating plan generation
- Source-backed inventory with identity, ownership and authority tracking
- Review trails for accountability
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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
| - Connects fragmented Microsoft records into one accountable operating picture
- Makes agent workforce explicit and operable within two weeks
- Operator retains final authority over all changes
- Evidence-backed decision trails throughout the platform
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | 16 ● no change since last check |
| Trust Flow (Majestic) | 3 | 7 |
| Citation Flow (Majestic) | 13 | 26 |
| Referring domains (Majestic) | 2 | 88 |