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Agentic AI systems · AI software lifecycle
TuQuant Medha.
Software from idea to production, with a person approving every release. Agents plan, build, test and document; your engineers decide what ships.
Overview
Software from idea to production, with a person approving every release.
TuQuant Medha runs the software lifecycle as a governed system. Agents take a request from idea to plan, code, tests and release notes, and bring your team the decisions that need a person.
Every run is versioned and reproducible, and every change is checked before it moves on. Releases go out only when an accountable engineer approves them.
Built for: CTOs and engineering leaders who need more shipped without losing control of quality or risk.
What it does
Three outcomes.
Idea to production
One governed flow from request to release, across your whole portfolio.
Verified changes
Each change is checked against tests and ground truth before it advances.
Human-approved releases
Production changes wait for an accountable engineer to sign off.
Explainer
TuQuant Medha in under a minute.
A narrated explainer. Live demos run privately, on your own data and under NDA.
Platform
Runs on the TuQuant platform.
Private deployment, policy enforcement and a complete audit trail come with it.
- Private by default. Models run in your environment. Your prompts and data are never used to train shared models.
- Every action is logged. Each prompt, tool call and output is recorded with who, what and why.
- Humans approve what matters. You decide which agent actions need sign-off before they run.
- Fits your controls. Single sign-on, role-based access, your key management and your network boundaries.
FAQ
Common questions.
Does Medha replace our engineers?
No. It takes on planning, coding, testing and documentation work, and your engineers keep authority over design decisions and releases.
Can it work with our existing repositories and pipelines?
Yes. Integration with your source control, CI and ticketing is scoped in a private walkthrough.
Where does it run?
In managed cloud, in your own cloud account or on-premise.
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View applicationSee TuQuant Medha on your own data.
A private walkthrough on a sample of your real work, under NDA.