Why HelixQA_
Why HelixQA_
Quality assurance for AI Products
We help teams test their AI before users do — scoring correctness, groundedness, instruction following, safety and regressions on every change.
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Built for AI Product Teams_
AI product teams often ship changes to prompts, models and retrieval without knowing what broke. HelixQA closes that gap: run a suite on every change and get a report before release.
Developer-First
From API to SDK to CI integration, everything is designed for clarity and control.
Secure & Reliable
Scoped API keys, per-workspace access control and configurable retention keep test data private.
Modular & Composable
Use only what you need — suites, runs and reports — and plug the rest into your existing pipeline.
Secure & Reliable
Scoped API keys, per-workspace access control and configurable retention keep test data private.
Optimized for Modern Product Teams
Teams juggle prompts, datasets and model versions with no shared view of quality. HelixQA puts every check in one place.
Read the docs
Start with the quickstart
HelixQA evaluates every change to your AI product before it ships, so teams catch regressions in CI instead of in production.
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What We Stand For_
Clarity over complexity: reports you can read in minutes, built by people who ship AI products.
Read the docs
Quickstarts, SDK examples and workflow guides.
Quality dimensions scored on every run.
Trigger suites from your pipeline with CI runs and webhooks.
REST API, webhooks and SDKs for JavaScript and Python.
Start on the free plan, upgrade when your suites grow.
Ship AI With Confidence
Run suites on every change, watch quality over time, and keep test data private with scoped access.
Fast Runs, Clear Reports
HelixQA gives you a readable report for every run — scores, failures and diffs between versions.
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How Teams Use HelixQA_
From writing test cases to reading reports, HelixQA gives teams the checks they need to release AI changes with confidence.
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Our team builds developer tools for AI products. We value clarity, craftsmanship and thoughtful progress.
Ship Fast, Learn Faster
Built for Real Workflows
Clarity Over Complexity
Product & engineering
Test infrastructure
Documentation & support
Design & UX
Evaluation research
SDK & integrations
User experience
Brand & content
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Guides, walkthroughs and notes on testing AI products.
Quickstart: install the SDK and run your first suite
Set up authentication, create a project and read your first QA report in a few minutes.
Authentication: API keys and scoped access
Create and rotate API keys, scope them per workspace, and keep tokens out of logs.
Integration: run suites from CI and webhooks
Trigger suites on every commit, get results back as checks, and receive webhooks when a run fails.
Integration: run suites from CI and webhooks
Trigger suites on every commit, get results back as checks, and receive webhooks when a run fails.
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FAQ updated regularly based on user feedback.
01
Do I need advanced programming skills to use HelixQA?
No. You can create suites and runs from the dashboard; developers can use the API for deeper integration.
02
Can HelixQA be integrated with the tools and systems I already use?
Yes. HelixQA offers a REST API, webhooks and SDKs that fit into your existing CI pipeline.
03
Can I bring my own test cases and datasets?
Yes. Write test cases manually, generate candidates with AI and approve them before saving, or import your own datasets.
04
Which languages are supported by the HelixQA SDKs?
HelixQA SDKs cover JavaScript and Python, and any language that can call a REST API.
05
Is HelixQA suitable for teams with strict data requirements?
Yes. Access is scoped per workspace with API keys, and you control how long test data is retained.
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Our team values clarity and craftsmanship, and ships for production systems.
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