Ten10 and The Scale Factory have merged to form Scale Factory, a UK-based AI consultancy with onshore delivery teams.
The merger combines Ten10's background in quality engineering with The Scale Factory's work in cloud, data and AI, as businesses try to move AI projects from pilot stage into operational use.
The new company will operate across five areas: quality, AI-ready platforms, cloud cost and technical debt, agentic automation, and skills development through its Tech Academy. Clients of both firms will continue to work with the same day-to-day and delivery teams.
The business is targeting organisations in regulated and risk-sensitive sectors, including financial services, defence, the public sector and professional services, where security requirements, technical assurance and reliability are central to procurement and delivery decisions.
One of the main drivers behind the merger is the difficulty many organisations face when trying to build AI systems on weak data, ageing technology estates and unresolved engineering issues. The consultancy is positioning itself around the view that these constraints, rather than a lack of interest in AI, often prevent projects from reaching production.
The combined group has delivered more than 3,500 projects. Scale Factory retains AWS Advanced Consulting Partner status and ISO 27001 certification, and all delivery will continue to be carried out by UK-based teams.
Five areas
The company describes its five solution areas as "Confidence through Quality", "AI Foundations Built Right", "Scale Without Compromises", "AI That Delivers Value", and "Capability That Endures". The final category is linked to the Tech Academy, which trains and places talent within client teams rather than limiting support to external project delivery.
The model is intended to leave skills behind once an engagement ends. In practice, it reduces long-term dependence on outside suppliers and builds internal technical capacity in areas where organisations may struggle to hire or retain specialist staff.
Chris Thompson, Chief Delivery Officer at Scale Factory, said: "Fearlessness isn't reckless, it's earned. At Scale Factory, we believe it comes from engineering rigour, honest client relationships, and foundations built to last, not just to launch. When the groundwork is solid, organisations can move faster, take smarter risks, and pursue transformation that actually sticks."
Richard Frodin, Chief Executive Officer at Scale Factory, said the merger formalises a relationship that has been developing over several years and that clients should not expect disruption as a result of the integration.
This has been a journey that's been years in the making and today feels like the moment it all comes together. Scale Factory isn't just a new name, it's a reflection of everything both businesses have built, and a statement of intent about where we're going. Our clients will notice the expanded capability. What they won't notice is any disruption, because the people, the standards and the relationships they rely on aren't going anywhere. That continuity matters enormously to us, and it's been central to how we've approached every decision in this process.
AI delivery
The consultancy's message to clients centres on the practical barriers to AI deployment, including poor data quality, legacy infrastructure, weak testing discipline and rising costs tied to experimental deployments that never move into routine operations.
Ash Gawthorp said the merger is a response to the gap between ambition and delivery.
Most organisations aren't short of AI ambition, they're short of the foundations to act on it. Poor data quality, legacy infrastructure, and a lack of quality engineering discipline are what kill AI initiatives before they ever reach production. That's exactly the gap Scale Factory is designed to close. Combining Ten10's quality engineering heritage with Scale Factory's cloud and AI expertise means we can now address that problem end to end, treating AI delivery as the systems-engineering problem it really is. For CTOs and engineering leaders trying to move from pilots into real delivery while keeping spiralling AI costs under control, that's a meaningful difference.