Opmed vs Skillburst
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Opmed compared with Skillburst
| Detail | O
Opmed | 
Skillburst |
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| What it does | Agentic AI platform for healthcare operations and scheduling
| Turn your team's best AI workflows into approved skills people can use inside the assistants they already have
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| Stage | Not given
| Not given
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| Founded | Not given
| Not given
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| Based in | US
| Not given
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| Pricing model | Not given
| Free trial
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| Pricing | Not given
| Free during public pilot. Paid plans not yet available.
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| Key features | - Demand forecasting for case duration, procedure length, utilization, and staffing needs
- Resource allocation optimization for rooms, blocks, staff, and equipment
- Real-time adjustment to operational changes and delays
- PACU and admission length of stay forecasting
- Turnover time and shift size optimization
- Equipment maintenance response
- No-show and late cancellation handling
- Add-on and urgent case accommodation
| - Shared skill catalog with approvals and versioning
- GitHub-backed skills and automatic releases
- Support for Claude, ChatGPT, Cursor, Codex, and Gemini
- Role-based access and audit-ready governance
- Adoption measurement and rollout tracking
- Full version history and one-click rollback
- Skills with context files and scripts
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| What makes it different | - Agentic AI that reads changing conditions and recommends next best moves
- Real-time adaptation to operational realities across care environments
- Transforms operational data into actionable intelligence
| - Non-technical teammates use skills by name without learning prompt engineering
- GitHub as single source of truth for technical teams
- Measure real adoption with joined, connected, and activated metrics
- Versioning and rollback without losing history
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 37 ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 5 | 0 |
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| Citation Flow (Majestic) | 32 | 19 |
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| Referring domains (Majestic) | 128 | 20 |
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3 details filled in for both companies.
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