AI-powered software verification Built on evidence, not vibes
IR Labs is an AI product studio. Our first product turns code-change signals into prioritized risk assessments engineers can actually review. Currently in beta.
What We Do
Our first program, Agentic SQA, is in beta with engineering teams evaluating kernel regression risk. We measure whether our outputs actually change outcomes and decisions. Not just whether a model produces plausible text.
Verification is hard. We build products that prove it doesn't have to be.
How We Operate
Pick a problem
We started with kernel regression triage because it's narrow, costly, and measurable. Every program begins the same way: specific user, specific pain, specific metric.
Build empirically
We instrument everything and measure what matters from first prototype through production.
Learn from users
Early users evaluate our outputs against real workflows. We don't just ask if they like it. We measure whether it changes their decisions.
Scale or kill
If the evidence supports it, we harden and scale. If it doesn't, we kill it and publish what we learned.
Current Focus: Agentic SQA
Our primary focus today is Agentic SQA: an evidence-first software verification platform that turns code-change and quality signals into prioritized, reviewable risk assessments and developer-ready actions.
We're starting where the pain is sharpest: engineering teams drowning in test signals, static analysis noise, and CI alerts with no way to prioritize what actually matters for a release decision.
Evidence-backed risk assessment
Every flagged risk comes with the signals, history, and reasoning behind it. Not just a confidence score.
Context-aware verification workflows
Risk assessments are grounded in your codebase's actual change patterns and CI context
Developer-ready outputs
Engineers get specific, reviewable actions they can challenge. Not black-box suggestions.
Try Agentic SQA.
If you're looking to improve software quality workflows in complex codebases, we'd like to talk
Talk to usSmall team. Hard problem. Real ownership.
We're an AI-native lab building verification systems that don't exist yet. We build empirically, work autonomously, and expect unreasonable things.
Your work will define what's possible.