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Tesbo combines AI-powered test management software with an intuitive test case management tool to help QA teams plan, execute, automate, & track software testing faster.

Website, pricing, platforms and company facts side by side.
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| Website | selfcommit.dev | tesbo.io |
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| Company | — | Startup from India · 1 - 9 employees · 2026 |
| Listed in | — |
In their own words, as submitted to SaaSHub.


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Tesbo is an open source, AI-powered test management platform that reads your requirements, documentation, existing test cases, and defect history before generating a single test case so every output is grounded in what your product actually does, not a generic prompt. Why Tesbo Generic AI tools...
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An Open-Source AI Test Manager That Knows Your Whole Product | Tesbo Test Manager
As answered by people managing Selfcommit.dev and Tesbo.
Tesbo's answer:
Most AI tools generate test cases from a blank prompt. They have never seen your product, your requirements, or your defect history. Tesbo's Context Engine reads six sources from your project before drafting a single case: requirements, existing test cases, product documentation, business rules, historical defects, and accumulated QA knowledge. Every generated case cites the source it came from, and nothing enters the repository without human sign-off. The longer your team uses it, the better it gets. Every approval, edit, and rejection feeds back into the index.
Tesbo's answer:
Tesbo was built by QAble, a quality engineering company based in Ahmedabad, India. The team spent years helping software companies manage testing and kept running into the same problem. QA engineers were spending most of their time writing and maintaining test cases instead of designing meaningful coverage. When AI tools arrived, teams tried ChatGPT and got generic output that ignored their product context entirely. Tesbo was built to solve exactly that: an AI that reads your project first, drafts cases grounded in your actual requirements, and keeps humans in control of every decision.
Tesbo's answer:
TestRail, Zephyr, and Qase are storage tools. They hold test cases but don't help you write them. Generic AI tools write cases that could belong to any product. Tesbo is the only test management platform where the AI has actually read your project before it writes. It connects requirement import, a versioned knowledge base, defect history, and a human review queue into one continuous loop. It is also fully open source under Apache 2.0. Self-host it on your own infrastructure with no per-seat fees and no lock-in.
Tesbo's answer:
QA engineers and QA managers at software and SaaS companies. Specifically, teams already using Jira or Linear for requirements who are frustrated with manually writing test cases, maintaining traceability spreadsheets, and getting generic output from ChatGPT. Tesbo fits teams of any size, from early-stage startups running a small QA function to mid-market engineering teams with large, established test suites.
Tesbo's answer:
Tesbo is built on PostgreSQL as the primary database, with a vector index for RAG-based document retrieval. It is self-hostable via Docker Compose and open source under the Apache 2.0 license, available on GitHub at github.com/QAbleHQ/Tesbo-Test-Manager. The MCP Server integration allows any MCP-compatible AI agent including Claude and Cursor to connect to the platform directly.
Tesbo's answer:
Tesbo is currently in early adoption across software and SaaS teams who have migrated from TestRail, Zephyr, and spreadsheet-based workflows. Specific customer names will be listed here as they are approved for public reference.
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