AI-accelerated quality engineering for SaaS and enterprise software teams. The platform handles the repetitive volume. Our engineers make the calls that decide whether a release is safe.
Most teams do. Slow down and test properly, or ship on schedule and hope nothing important is broken. Either way it tends to look the same from the inside:
AI testing tools
A thousand test cases in seconds, and they still miss the edge case that takes you down.
Quality Engineering at DesiCrew
Our AI platform does the heavy lifting. Our senior engineers make the calls.
Traditional QA vendors
Manual coverage at manual pace. QA becomes the bottleneck.
We've owned quality releases for engineering teams for over a decade.
Successful releases
Automated tests run every month
Of bugs caught before production
QA professionals
Client retention
ISTQB certified testers
Vendors rotate people. Tools forget context. We stay, so each sprint makes the next one safer.
The same embedded team, sprint after sprint. No rotation, no re-onboarding.
98% client retention across long-term partnerships
AI test generation, scriptless automation and parallel execution handle the repetitive volume, so engineers spend their time where judgment matters.
3× faster script creation, 90% faster regression runs
Every bug found and every cycle run feeds the regression suite.
5,413 defects caught pre-release for one platform, 467 of them major or critical
The platform underneath it is our own, and it's why our engineers keep pace with teams twice their size.
AI-powered test generation
Auto test case creation, API test generation, self-healing scripts.
Scriptless automation
Low-code and no-code automation.
Unified test management
Requirements, cases, execution, defects and traceability, all in one place.
Cloud execution at scale
Parallel runs on distributed clouds, with compliant synthetic test data. No real user data needed.
Regression, smoke, sanity, E2E, UAT. If a workflow can break, we find it before your users do.
Custom automation that keeps up with your product, not the other way around.
REST, GraphQL, SOAP. Automated validation across every integration.
Load, stress, scalability. No launch-day surprises.
Pen testing, vulnerability assessments, compliance audits.
iOS and Android, native and hybrid, across real devices.
Model validation, bias detection, edge cases at scale.
WCAG and EAA compliance.
We work across your stack.
Our quality engineering division, built for AI-native and enterprise software teams. Their site carries the full picture — the platform, the tooling, and the engineers behind it.
Start with a QA assessment.
We map exactly where your release time is going, then show you what would change. You get a written report, a gap analysis and a prioritised roadmap, yours to keep either way.
