About Dax Vector
We exist to make AI work for enterprise — not the other way around.
Founded by engineers and data scientists who spent years watching organisations buy AI products that never delivered, Dax Vector was built to close the gap between AI potential and real-world results.
Our mission
Intelligence that earns its place in your business.
2019
Year founded
500+
Enterprise clients
98%
Client retention
Most AI projects fail not because the technology is wrong, but because the implementation is disconnected from the business problem. Models get built in isolation, deployed without feedback loops, and abandoned when they don't perform.
We do it differently. Every engagement starts with the outcome — the revenue you want to grow, the cost you want to cut, the risk you want to eliminate — and works backwards to the model, the data, and the infrastructure that will get you there.
We measure our success by yours. That means we stay engaged through deployment, monitor model performance in production, and iterate until the numbers move.
How we work
Six principles we don't compromise on
Outcomes over outputs
We don't celebrate model accuracy in isolation. We celebrate revenue gained, costs cut, and decisions improved. Every project is scoped around a measurable business outcome.
Honest about limitations
AI is not magic. We tell clients when a problem doesn't need ML, when their data isn't ready, and when a simpler solution will outperform a complex one.
Built to last, not to impress
We build systems that your team can own, maintain, and extend. No black boxes, no vendor lock-in, no dependency on us to keep the lights on.
Speed without shortcuts
Enterprise timelines are real. We move fast — but never at the cost of data quality, model robustness, or production reliability.
Embedded, not external
We work alongside your teams, not above them. Knowledge transfer is built into every engagement so your people grow alongside the system.
Rigour at every layer
From data contracts to model governance to deployment pipelines — we apply engineering discipline at every stage, because production AI demands it.
The team
Built by practitioners, not theorists
Abdul Basit
Co-founder & CEO
Former Head of Data Science at a FTSE 100 retailer. Led AI transformation programmes across 14 markets before founding Dax Vector to bring the same rigour to clients across industries.
Ayesha Nadeem
Co-founder & CFO
Focused on shaping DaxVector’s vision, strategy, and growth, helping build innovative technology solutions that solve real-world business challenges.
Work with us
Ready to build something that actually works?
Tell us about your challenge. We'll be straight with you about what's possible, what it takes, and what results you can realistically expect.