Bring Confidence to Every AI Decision

We work with a range of AI systems including machine learning models, deep learning pipelines, natural language processing applications, and computer vision models. Whether your system handles classification, prediction, recommendation, or generation tasks, our frameworks adapt to the specific model architecture and deployment context.

Timelines vary by service. The AI Quality Assurance Program typically runs six to ten weeks. Adversarial Robustness Testing can be completed in three to five weeks. The Monitoring and Observability Setup usually takes four to six weeks. We scope each project based on the complexity of your systems and your team's availability.

While we are headquartered in Kuala Lumpur and many of our clients are based in Malaysia and the ASEAN region, we do take on projects with organisations in other geographies — particularly when there is a strong alignment with our expertise in AI quality and assurance. Remote collaboration is well-supported by our process.

Every engagement produces detailed documentation — including test case libraries, vulnerability reports with severity ratings, monitoring dashboards, runbooks, and training materials. All deliverables are structured for your internal teams to maintain and extend after our engagement concludes.

Pricing is per-engagement and scoped based on the complexity and number of AI systems involved. Our listed prices reflect standard engagement scopes. For larger or more specialised projects, we provide tailored proposals after an initial assessment call. There are no hidden costs — the quoted scope includes all deliverables and training.

Absolutely. We sign non-disclosure agreements before any engagement begins. All data shared with us is handled according to strict confidentiality protocols. We can also work within your infrastructure if your data governance policies require it, minimising any external data transfer.