Our origin story
Crafted AI Minds was founded in 2019 by a small group of machine-learning engineers who had spent years building AI systems inside large corporations. They noticed a persistent gap: enterprises wanted intelligent automation, yet most consulting firms delivered either generic off-the-shelf tools or impenetrable academic prototypes that never reached production.
Determined to bridge that gap, the founding team set up shop in Kowloon with a simple promise — every solution would be tailored, production-ready, and genuinely understood by the stakeholders who would use it daily. That promise still guides every engagement we take on today.
Over the past six years we have grown from four co-founders to a cross-disciplinary team of more than thirty specialists spanning data science, software engineering, UX design, and domain consulting. Our client roster now includes mid-market firms and multinational groups across fourteen industries, from healthcare and logistics to fintech and retail.
Our mission and values
These five principles inform how we hire, how we build, and how we measure success.
Clarity over complexity
We believe the best AI solution is one that stakeholders can explain in plain language. Every model we ship comes with transparent documentation, interpretability layers, and training for the people who will rely on it. If a simpler approach achieves 95 per cent of the accuracy at half the cost, we will recommend it — because real-world impact matters more than technical showmanship.
Ethical by design
Bias audits, fairness metrics, and privacy safeguards are not afterthoughts — they are embedded in our development lifecycle from day one. We adhere to responsible-AI frameworks and encourage clients to adopt governance structures that ensure long-term accountability for automated decisions.
Partnership, not dependency
We transfer knowledge relentlessly. Our engagements include hands-on workshops, code walkthroughs, and capability-building programmes so your internal teams can maintain, retrain, and extend the systems we deliver. Our goal is to make ourselves progressively less essential, not more.
Relentless iteration
Machine-learning models degrade when the world changes around them. We build monitoring pipelines that detect drift, trigger retraining, and surface performance anomalies before they become business problems. Continuous improvement is not a buzzword for us — it is an operational discipline.
Measured outcomes
Every project begins with clearly defined success metrics agreed upon by both parties. We report against those metrics at every milestone and refuse to declare victory until the numbers confirm genuine value. Vanity metrics have no place in our dashboards.
Meet the leadership team
A diverse group of technologists and business minds steering our mission forward.
Vivian Lau
Vivian spent a decade at a global technology consultancy before co-founding Crafted AI Minds. She oversees company strategy, client relationships, and the responsible-AI governance programme that underpins every project.
Arjun Mehta
Arjun leads our engineering practice, setting architectural standards and mentoring a growing team of ML engineers. His research background in reinforcement learning informs many of our optimisation-focused solutions.
Clara Engström
Clara ensures that every project moves from concept to production on time and within budget. With a background in agile programme management and a deep understanding of data engineering, she bridges the gap between technical teams and business stakeholders seamlessly.
David Wong
David leads the team responsible for model research, experimentation, and validation. He holds a PhD in computational statistics and has published extensively on time-series forecasting and causal inference methods.
Key milestones
A brief look at how we have grown since our founding.
2019 — Company founded
Four co-founders launch Crafted AI Minds from a co-working space in Tsim Sha Tsui, securing our first two enterprise clients within the opening quarter through referrals from former colleagues.
2020 — First major NLP deployment
We deliver a multilingual sentiment-analysis platform for a regional insurance group, processing over two million customer interactions per month and reducing manual review time by 74 per cent.
2021 — Team expands to 15
Growing demand in healthcare and logistics drives rapid hiring. We establish dedicated practice areas for computer vision and predictive analytics, each led by a senior principal engineer.
2022 — Responsible-AI framework published
We open-source our internal bias-audit toolkit and publish a white paper on ethical model governance, earning recognition from two regional industry bodies for thought leadership.
2023 — 100th project milestone
We celebrate the delivery of our hundredth production deployment, spanning fourteen industries and nine countries across the Asia-Pacific region.
2024 — Strategic consulting practice launched
Recognising that many organisations need guidance before they need code, we formalise our AI strategy consulting offering, helping C-suite leaders build data-driven transformation roadmaps.