Software testing services for the enterprise — test automation, manual and exploratory QA, performance and load testing, API testing, and regression suites. Our patent-pending Aegis AI process uses AI to push regression coverage far past what a team could hand-write, and runs it on every change.
The same engine that keeps a 200+ location enterprise shipping twice a week with zero critical defects — a quality layer with measurable coverage and clear release gates, not a checkbox at the end of a sprint.
Testing only works when it is measured, automated where it pays off, and gating every release. Here is what every engagement covers.
Automated suites for the paths that must hold every release — unit, integration, and end-to-end — wired into CI so failures surface the moment a change breaks them.
Skilled manual and exploratory testing that finds what a script never thinks to check — usability gaps, edge cases, and the issues that only surface when a human uses the product.
Realistic traffic modeled and run against the system — surfacing the queries, contention, and bottlenecks that degrade under scale, before launch instead of during an incident. Pairs with our performance optimization.
Suites that cover contracts, authentication, error handling, and edge cases — run in CI on every change so breaking changes are caught before the services that depend on them are.
Durable regression coverage, generated and maintained with AI, that pins down working behavior — so every release proves it hasn't broken what already shipped.
AI that speeds test generation, coverage analysis, and triage — widening coverage and shortening feedback loops, with engineers in control of what ships and why.
Manual regression suites cap out at what a team can write and keep current, so most products test a risk-based sample and cross their fingers. Aegis AI changes the ceiling: AI builds and maintains the regression net, and the whole suite runs on every single change.
AI drafts regression cases from your requirements, your code, and the history of past defects — reaching the edge and error paths a human test plan quietly skips, each case mapped to the behavior it protects.
A regression suite is only worth what it covers today. AI updates tests as the code changes, fixes flaky ones instead of muting them, and prunes the dead weight — so the net stays trustworthy.
Because it is automated and fast, the full suite runs on every change — not a hopeful sample. Failures pinpoint the offending change, and nothing ships unproven.
AI does the scale; engineers decide what ships and why. The same pre-release rigor behind Aegis AI keeps the human in the loop while the coverage reaches a ceiling no team could hand-write.
↺ A continuous loop — coverage grows with every change ● Full suite on every release
BJ's Restaurants, a 200+ location restaurant chain, runs a demanding production environment where reliability is non-negotiable. With Aegis AI's expanded regression testing and release discipline, the team sustained twice-weekly production releases with zero critical defects for the past year. The wide regression net is exactly what makes that cadence safe rather than reckless — see the full Aegis AI proof.
Testing only works when it is measured, automated where it pays off, and gating every release. Here is what every engagement includes.
We are an AI lab born out of Stanford, building Responsible AI for the enterprise since 2011. Quality is where AI earns its keep: the same pre-release rigor behind Aegis AI, our patent-pending production suite, uses AI to widen regression coverage far past what a team could hand-write — which is how it delivered twice-weekly releases with zero critical defects across a 200+ location enterprise for 12 months. AI does the scale; engineers stay in control of what ships — the way we think about human-led AI.
The result: defects caught in the pipeline rather than in production, with coverage you can measure and trust — including enterprise load testing services that prove the system holds under real traffic. See where testing fits beside web application performance optimization and software re-engineering, or talk to us about your release.
Defects caught in the pipeline rather than in production — coverage proven step by step, not promised.
The questions engineering and product leaders ask before trusting anyone with their release quality.
Software testing services validate that a system works as intended before it reaches users — through test automation, manual and exploratory QA, performance and load testing, API testing, and regression suites. We deliver these as an engineered quality layer with measurable coverage and clear release gates, not a checkbox at the end of a sprint.
Manual regression suites cap out at what a team can write and maintain, so most products test a risk-based sample and hope. Our Aegis AI process uses AI to generate regression cases from requirements, code, and past defects, keep them current as the code changes, and run the full suite on every release. Coverage reaches a scale that is impractical by hand, which is what lets a team ship twice a week safely.
Both, applied where each pays off. Automated tests cover regression, API, and load paths that must hold every release, while manual and exploratory QA find the issues a script never thinks to check. We decide the split on evidence so coverage is high without automating tests that are not worth the maintenance.
Yes. We model realistic traffic, run load and stress tests against the paths that matter, and surface the queries, contention, and bottlenecks that degrade under scale — with results you can act on before launch rather than discover during an incident.
Yes. We build API test suites that cover contracts, authentication, error handling, and edge cases, run them in CI on every change, and catch breaking changes before they reach the clients and services that depend on them.
AI-assisted QA speeds up test generation, coverage analysis, and triage while keeping engineers in control of what ships. As a Responsible AI lab, we use it to widen coverage and shorten feedback loops — the same pre-release rigor behind Aegis AI, which held zero critical defects over 12 months across a 200-plus location enterprise.
Our clearest proof is BJ's Restaurants, a 200-plus location enterprise. With Aegis AI's expanded regression testing and release discipline, the team sustained twice-weekly production releases with zero critical defects over twelve months. The wide regression net is what makes that cadence safe rather than reckless.
Tell us what you're releasing. We'll scope the coverage, name the highest-risk gaps, and give you a measured path to catching defects before your users do.
Thirty minutes. No pitch deck. We reply within 48 hours.