Lightrun vs Skillburst
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Lightrun compared with Skillburst
| Detail |
Lightrun |
Skillburst |
| What it does | AI agents with operational context to prevent and resolve failures across enterprise software, systems, and processes
| Turn your team's best AI workflows into approved skills people can use inside the assistants they already have
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| Stage | Established
| Not given
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| Founded | 2019
| Not given
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| Based in | Not given
| Not given
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| Pricing model | Not given
| Free trial
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| Pricing | Free Plan at $0 with limited Lightrun AI SRE features; Pro and Enterprise plans available at custom pricing by contacting sales.
| Free during public pilot. Paid plans not yet available.
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| Key features | - AI agents with operational context across software, systems and business processes
- Custom agents tailored to enterprise landscape including legacy services
- Approval gates and confidence thresholds for agent actions
- Enterprise compliance with ISO 27001 and SOC 2 Type II certification
- TLS 1.3 encryption in transit and AES-256 encryption at rest
- Dynamic telemetry and performance metrics collection
- Multi-instance debugging for Kubernetes and Serverless
- IDE plugins for IntelliJ, PyCharm, WebStorm and VS Code
- PII redaction and data privacy controls
- Reduced MTTR from hours to minutes
| - 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 | - Only platform combining AI agents with full operational context of enterprise systems
- Reduces incident resolution time by 90%
- Works across legacy systems, SAP and modern platforms
- 763% ROI and $5.62M NPV over three years
- Enterprise-grade security with logical tenant separation and AI sandboxes
| - 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 |
| DR (Domain Rating by Ahrefs) | 65 ● no change since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 14 | 0 |
| Citation Flow (Majestic) | 35 | 19 |
| Referring domains (Majestic) | 569 | 20 |
4 details filled in for both companies.
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