VeraxaAI combines engineering rigor with real-world validation. We design AI agents that integrate into business workflows and provide the measurement, monitoring, and checks organisations need to trust their behaviour.
Our background spans regulated industries — fintech, healthcare, and enterprise automation — where incorrect AI behaviour has tangible consequences. We focus on reproducible evidence, measurable SLOs, and clear operational handoffs.
We partner with product teams to clarify acceptance criteria, build testable agents, and deliver validation artifacts that stakeholders can rely on.
Engineers, testers, and product leads who build, break, and harden AI systems.
Measure first
We define success criteria before code ships.
Ship with proof
Every release has evidence, not just confidence.
Stay practical
We optimize for implementation, not theory.
A small team of specialists across AI, QA, delivery, and infrastructure. Each profile below shows what they own, how long they have been doing it, and where they add the most value.
7.5 yrs experience
7.5 yrs · Quality strategy, leadership
Leads delivery and sets the quality bar across discovery, validation, and release planning. Focused on helping teams define what “ready” really means before work moves into production.
Focused on release confidence, edge cases, and repeatable evidence.
2 yrs experience
2 yrs · AI systems, cloud, RAG
PortfolioBuilds the systems behind the product layer, from AI workflows to the infrastructure that keeps them observable and maintainable. Works closest to the engineering surface where validation meets deployment.
Works on systems that need validation, observability, and clear handoffs.
6 yrs experience
6 yrs · Agentic AI eval, automation
Connects product goals with the testing layer, turning vague AI behaviour into measurable checks. Spends most of his time on eval design, automation, and keeping teams aligned on outcomes.
Works on systems that need validation, observability, and clear handoffs.
6 yrs experience
6 yrs · Automation, mobile, IoT
Works across product delivery and multi-device testing, especially when the workflow extends beyond web apps. Brings structure to delivery and keeps implementation grounded in what customers actually use.
Bridges product, delivery, and implementation details so work stays practical.
2 yrs experience
2 yrs · Next.js, Node, infra
Focuses on the application layer and supporting infrastructure, with a bias toward pragmatic implementation. Helps move ideas from demoable concepts into stable product surfaces.
Bridges product, delivery, and implementation details so work stays practical.
4 yrs experience
4 yrs · Regression, functional
Specialises in the repeatable QA work that keeps releases honest. Builds confidence through structured regression coverage, functional checks, and clear bug isolation.
Focused on release confidence, edge cases, and repeatable evidence.
3 yrs experience
3 yrs · Test execution, coordination
Keeps test execution moving with strong coordination and a sharp eye for the details that get missed in handoffs. Helps convert test plans into actual evidence during release cycles.
Focused on release confidence, edge cases, and repeatable evidence.