Jetisu company
Hackroda
QA for the AI-built software era, built to help teams test code, workflows, and releases as they ship faster.
Product brief
What it does for the system.
- Audience
- Software teams, QA leads, AI product teams, and businesses using generated code or AI workflows.
- Role in the system
- The quality layer for AI-built software.
- Edge
- AI helps teams ship faster. That makes testing and trust more important. We see the problem from both sides: builders using AI and clients who need the work to hold up.
- Next proof
- Onboard users, prove repeat use, and strengthen the SDK/API evaluation loop before investor or buyer conversations.
Story
Why this product matters.
Hackroda addresses a market moving faster than its QA systems. AI-assisted coding makes it easier for teams to create software, but every faster build creates the same question: does it actually work, and can a business trust it?
The product is being shaped as QA software. The public idea is simple: check code, AI workflows, and business-critical software through repeatable tests, review loops, and eventually SDK/API connections into the systems teams already use.
This is not a talent product. Talent matters because experienced builders make the product possible, but the product itself is the quality layer: the system that helps teams verify what AI and humans ship together.
Specifics on MVP timing, onboarding, traction, and buyer logic live in the data room.
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Financials, positions, and terms sit in the data room, reserved for serious investors.