| What it does | An AI debug engineer that finds why code failed and opens a pull request for you to review
| Practical technology for work that has to keep moving.
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Free trial
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| Pricing | Pro: $39 per project per month (100 investigations, 5 pull requests per month, 1 million events per month, 30 days history, 1 repository, 3 members). Team: $149 per project per month (1,000 investigations, 20 pull requests per month, 10 million events per month, 90 days history, unlimited repositori
| ReviewNudge: $14.95 monthly with 14-day free trial. Workflow Friction Review: $495 fixed price. Industry A.I. Fusion℠ Assessment: $750 fixed price.
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| Key features | - Session replay of customer visits with all clicks, requests and errors on one page
- Automatic root cause analysis identifying the exact line of code that failed
- Automatic pull request generation with proposed fixes ready for review
- Support for React, Next.js, Vue, Nuxt, SvelteKit, Angular, Express, NestJS, Fastify, FastAPI, Django, Go and more
- OpenTelemetry integration for Java, .NET, Ruby and PHP
- Grouping of the same bug across multiple users with affected user count
- Privacy protection removing passwords, card numbers and API keys before sending
- Investigation reports with confidence levels and evidence citations
- Live demo with real shop and real failures without account required
| - Software development services
- AI-assisted automation and workflows
- Tech consulting and solution design
- ReviewNudge customer review management
- SIMPLIFAI practical AI training
- Environment-led deployment
- Adapter-ready cloud and database integration
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| What makes it different | - Reduces small bug debugging from ~4 hours to one pull request review
- Every fix is a pull request on its own branch with no automatic merging
- Analyzes the exact version of code that was live, not your current branch
- SDK and server are open source under Apache 2.0 license
- Self-hosting coming soon for teams preferring on-premise deployment
| - Portmason separates systems' foundations, control surfaces, and operational lifecycle for safer changes
- Focuses on practical technology decisions for smaller organizations
- AI guidance centered on real business needs, not hype
- Products deliver faster by sharing operational foundation
- Human-centered approach to automation and time management
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 3 ▲ +3 (up) since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 1 | 0 |
| Citation Flow (Majestic) | 18 | 15 |
| Referring domains (Majestic) | 6 | 3 |