AI-augmented testing, agent development, LLM alignment and red teaming — practical AI services from a team that has spent years testing software for a living, now applied to the systems building it.
Getting an AI feature from prototype to production raises questions most QA processes were never built to answer: is the training data actually representative? Will the model behave the same way in six months? What happens when someone deliberately tries to break it? We work on exactly these questions — as testers first, AI specialists second.
Ten services covering the full lifecycle of an AI system — from the data that trains it to the attacks that try to break it.
We bring AI into your existing test automation practice — smarter test generation, self-healing locators and AI-assisted triage — without throwing away the frameworks your team already knows.
Learn moreDesign and build task-automation agents with LangChain, Microsoft AutoGen and similar frameworks, wired into your existing systems for real workflows — not demos.
Learn moreHelp your product team ship AI-powered features — from API design to integration — with the same testing discipline we bring to everything else.
Learn moreLabelling, annotation and dataset curation for your AI/ML models, with an eye for the bias and gaps that quietly wreck model performance later.
Learn moreUse AI coding assistants responsibly inside your CI/CD pipeline — faster refactors and code review, with the validation steps that keep quality intact.
Learn moreWe test the pipelines and datasets feeding your AI systems, not just the model output — accuracy, consistency and drift, caught before they become a production problem.
Learn moreValidate your AI system's behaviour against the constraints you actually care about — safety, fairness and staying on-topic — before your users find the edge cases for you.
Learn moreFine-tuning, evaluation frameworks and ongoing tuning to keep an LLM-based feature aligned with what your business actually needs it to do.
Learn moreWe build retrieval-augmented generation systems that answer from your own data, with the retrieval quality and evaluation loop that keeps answers grounded.
Learn moreAdversarial testing for prompt injection, data leakage and jailbreaks — a structured attempt to break your AI system before someone else does.
Learn moreStructured to keep accuracy, scalability and ethical compliance in view at every stage — from the first data review to post-launch monitoring.
We're a QA-and-AI consulting team, not a generic offshore staffing pool — every engagement is scoped, not templated.
Our instructors are working QA and automation consultants at companies like Lacoste and TotalEnergies — the same people teaching AI testing also do the work.
No off-the-shelf package: every engagement starts with understanding what you've already built, not a generic playbook.
Playwright, LangChain, common LLM evaluation frameworks — the tools this space actually uses now, not a fixed toolkit from three years ago.
Designed to integrate with your CI/CD pipeline and existing QA process, not replace it wholesale.
We help you design toward GDPR-conscious, fairness-tested AI. We won't claim a certification we don't hold.
The same rigor behind our ISTQB-aligned training extends directly to how we test AI systems.
From the first scoping call to post-launch iteration, the same team stays engaged with your project.
Need your own team to learn this instead of outsourcing it? The same expertise is available as hands-on training.
Tell us what you're building and where it stands today — we'll tell you honestly whether we can help.
Discuss your AI project