AI-Powered Digital Quality Engineering with Human Intelligence
We combine AI agents that test at machine speed with a vetted global community of human testers who catch what automation can't — wrong answers, broken journeys, cultural misfires and accessibility failures.
- 2-week pilot · Fixed scope
- Named QA lead on every engagement
- Results triaged in your Jira
ISO/IEC 27001 · SOC 2 Type II · GDPR · DPDPA
Software changed. Testing didn't keep up.
Your team ships weekly. Your product now answers questions in natural language, calls tools, and behaves differently for every user. Traditional QA was built for deterministic software with predictable outputs. It doesn't fit any more.
Release velocity outruns coverage
Teams ship faster every quarter. Test coverage doesn't grow at the same rate, so the gap becomes production risk.
AI outputs have no single right answer
A pass/fail assertion can't tell you whether a response was accurate, appropriate or safe. Something has to make a judgment call.
Staging doesn't look like the real world
Your test lab has clean networks, five devices and one language. Your users have none of that.
One bad release is expensive
A hallucinated answer, a failed payment or an inaccessible checkout costs revenue, trust and, increasingly, regulatory exposure.
AI for speed. Humans for judgment.
We run both in one workflow. AI agents generate test cases from your requirements, execute regression at scale, and triage the results. Human experts then validate everything AI can't reliably judge on its own — factual accuracy, tone, cultural fit, accessibility and whether the experience actually works for a real person.
Scope
A QA lead maps your release process, risk areas and target markets. You get a test strategy and a fixed-price pilot scope, usually within a week.
Execute
AI agents generate and run tests across your stack. Matched human testers validate on real devices in real markets. Both feed the same pipeline.
Decide
Bugs land triaged, deduplicated and prioritised in your tracker. A Release Readiness Score tells you whether to ship — with the evidence behind it.
Comprehensive Quality Engineering Services
AI didn't replace the fundamentals. We cover them across web, mobile, API and desktop.
Crowd Testing
Real users, real devices, real networks, real countries. Coverage no lab can reproduce.
Test Automation
Build and maintain suites in the frameworks your team already uses.
Functional Testing
Structured and exploratory testing across every core flow before each release.
Performance Engineering
Find the breaking point in staging instead of in production.
Security Testing
OWASP-aligned validation of your app, APIs and auth flows.
Accessibility Testing
Tested with assistive technology by people who use it every day.
Localization Testing
In-market validation by native speakers — language, layout, currency and cultural fit.
Payment Testing
Real cards, real wallets, real bank flows in each market you operate in.
Testing built for products that think.
AI features fail in ways traditional QA was never designed to catch. We test the failure modes that matter.
GenAI & LLM Testing
Validate accuracy, consistency and safety across prompts, models and versions — before your users find the gaps.
- Prompt coverage
- Hallucination detection
- Output consistency
- Regression across model versions
AI Agent Testing
Agents plan, call tools and take real actions. We test the whole chain, including what happens when a step fails.
- Multi-step workflows
- Tool-call accuracy
- Failure recovery
- MCP server validation
Chatbot & Conversational AI
Intent coverage, tone, escalation and the messy way real people actually type.
- Intent coverage
- Context retention
- Escalation paths
- Multilingual
Voice AI Testing
Real accents, real background noise, real interruptions — on real devices in real rooms.
- Accent diversity
- Noise conditions
- Barge-in
- Wake-word accuracy
RAG Evaluation
Check that answers are grounded in your documents and that citations point where they claim to.
- Retrieval precision
- Grounding
- Citation accuracy
- Freshness
Red Teaming & AI Safety
Adversarial testing by humans who are genuinely trying to break your model.
- Jailbreak attempts
- Prompt injection
- Toxicity
- Misuse scenarios
Bias & Fairness Testing
Measure output quality across demographic, linguistic and regional slices, with native speakers in each.
- Demographic slices
- Language parity
- Regional fairness
- Documented evidence
Model Monitoring
Models drift quietly. Continuous evaluation catches it before your support queue does.
- Drift detection
- Production sampling
- Sentiment tracking
- Alerting
One platform from test case to release decision.
Everything runs in one place — AI generation, crowd execution, triage and reporting. Your team sees a single source of truth instead of five spreadsheets.
- Trusting Social
- MentorCloud
- Apalya
- Junglee Games
Depth where it matters.
Regulated industries need testers who understand the domain, not just the app. We match clinicians to healthcare, finance professionals to BFSI, and native speakers to every market you launch in.
What teams say.
Testimonial quote goes here — one to two sentences, ideally with a number in it. Use only real, attributable quotes with written consent.
Fits the tools you already use.
Bugs go where your team already works. No new dashboard to check.
Enterprise-ready by default.
Certifications, access control and data residency, evidenced.
- ISO/IEC 27001:2022 certified
- SOC 2 Type II
- GDPR and DPDPA aligned
- NDAs with every tester
- Role-based access
- Regional data residency options
- Audit logs
Ready to ship with confidence?
Book a 30-minute call. We'll map your release process, show you where quality is leaking, and scope a pilot you can run on your next release.