Lightrun vs Referee.chat
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 Referee.chat
| Detail |
Lightrun |
Referee.chat |
| What it does | AI agents with operational context to prevent and resolve failures across enterprise software, systems, and processes
| An AI panel debates your goal; a referee rules on re-checkable evidence
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| Stage | Established
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| Founded | 2019
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| Based in | Not given
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| Pricing model | Not given
| Freemium
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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: $1.00 starting credit once. Credit plans from $10 top-up with no expiration. Your own key: 5% infrastructure fee after the first $5.00 of usage.
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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
| - Panel of up to six AI models from different vendors
- Referee rules on re-checkable evidence only
- Searches academic databases: arXiv, OpenAlex, Crossref, Europe PMC
- Executes Python code to verify claims
- Customizable acceptance standards
- Matches pause and resume without losing work
- Shared ledger prevents re-derivation
- Spending limit per match
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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
| - Referee decides on evidence, not argument quality
- Panel from different vendors fails in different directions
- Stuck is a targeted question, not model thrashing
- Cost grows with ledger, not round count
- Published matches become research record
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 65 ● no change since last check | 2 ● no change since last check |
| Trust Flow (Majestic) | 14 | 0 |
| Citation Flow (Majestic) | 35 | 13 |
| Referring domains (Majestic) | 569 | 31 |
4 details filled in for both companies.
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