You're about to ship. Are you sure it's ready?
Release Confidence as a Service. Managed QA that catches what slips through.
Managed QA + AI Reliability — from hallucination prevention to automated eval pipelines and red-teaming.
For founders and CTOs shipping regulated products. InsurTech, HealthTech, FinTech. Every release matters.
The Forces Working Against You
Three real problems that ship to production every day.
The Quality Cliff
You hit 10–20 engineers. Your code review process breaks. Bugs you thought you'd catch slip into production. Your customers notice before you do.
The AI Mess
Your team ships AI-generated code faster. It works locally, passes most tests, then breaks in production in ways nobody expected. Real QA discipline is the only net.
The Credibility Gap
You're regulated (InsurTech, HealthTech, FinTech). Audits, partnerships, enterprise deals. They all hinge on "Can you pass scrutiny?" Bugs in regulated releases have a cost.
The StartupQA Model
We run QA. Your team executes. Clear signals, fast feedback.
Free Release Audit
We review your current release process. What's working. What breaks. What would fail an audit. You get a readiness report, zero obligation.
Start here →Scope & Proposal
We agree on what success looks like. Testing scope, reporting cadence, who does what. No surprises. Fixed pricing per release or per month.
Learn more →Ongoing Readiness
Every release: test plan, regression suite, compliance check, pre-release report. Weekly syncs. You know exactly what ships and why it's safe.
Learn more →Built for Regulated Startups
InsurTech founders know every release is a compliance risk. So do HealthTech and FinTech. We speak that language.
Insurance
Premium calculations. Claims processing. Carrier integrations. Rate filings don't forgive bugs.
HealthTech
HIPAA compliance. FDA validation. Patient data integrity. The stakes are life-critical.
FinTech
Payment processing. PCI-DSS. Account integrity. One bug freezes accounts.
Is Your AI Production-Ready?
Most AI teams ship fast. Few test for what breaks in production.
Automated Accuracy Scoring
Measure output quality against ground truth at every release. Catch regressions in model accuracy before your users do.
Adversarial Stress Testing
Red-team your AI with edge cases, prompt injection attempts, and adversarial inputs engineered to expose failure modes.
Golden Dataset Curation
Build and maintain a curated eval set that reflects your real production distribution — so your benchmarks actually mean something.
A human QA specialist reviews your stack. Response within 1 business day.
Start with a Free Release Audit
30 minutes to review your release process. A written readiness report. No sales pitch.
Schedule Your Audit