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Company / About

We build applied AI

Founded in Manchester. Backed by the Department for Science, Innovation and Technology (DSIT), and the Royal Academy of Engineering. Deployed across finance, manufacturing, telecoms, enterprise operations and the public sector.

The origin

Born from research.

Rooted in research.

Data Nucleus was founded on a conviction: organisations tackling complex problems in finance, manufacturing, telecoms, enterprise operations and the public sector deserve AI that understands how their businesses operate and how their best people think. That conviction has its roots in years of applied research at the University of Manchester, where our founder, Dr Moiz Pirkani, explored how machine learning and computational intelligence could address engineering problems beyond the reach of conventional methods. His subsequent work in product R&D, manufacturing and high-assurance engineering reinforced a simple principle: technology must work reliably within the constraints and demands of real businesses.

Driven by ambition.

As AI capabilities and computing power advanced, so did the ambition: to bring that same depth of intelligence and engineering discipline into the systems businesses depend on every day. Turning that ambition into a company required more than developing models. We brought together expertise in AI, software engineering and industry operations, working with SMEs on digital transformation strategy and supporting larger organisations with product development roadmaps and complex technical projects.

Built through experience.

The work began with practical challenges: building APIs to connect disconnected systems, developing agentic AI workflows linking email and CRM platforms, and automating repetitive business processes. It progressed into production applications, including customised RAG and generative AI, document intelligence and process automation built around organisations’ own data, knowledge and business operations. Each engagement deepened our understanding of what it takes to make AI work in production.

Engineering with purpose.

That experience shaped our engineering philosophy. Security, governance and human oversight cannot be added after a system is built. They must be designed into its architecture and enforced at runtime, alongside the business rules, data and decisions the technology is expected to support. From that foundation, we developed Nucleus One, Forward, Manufacturing Copilot and Custom AI, four offerings built on the same principle: understand the business, build around its operations and give people control over how AI is used.

What drives us

We believe AI should be measured by one thing. The problem it solves.

Are business workflows automated without losing control? Does the software solve the problem it was built for? Does the factory run more efficiently? Can decisions be explained, governed and trusted?

These are the questions that matter to us. Technology earns its place by solving real business problems, whether through focused workflow automation or the development of AI platforms for complex operations.

We begin by understanding how a business operates, the challenges its people face and the outcomes it needs to achieve. Security, governance and accountability are built into our engineering approach from the outset. We believe in choosing the right technology for the problem, not forcing AI where a simpler approach would work better.

Data Nucleus Ltd is registered in England and Wales, company number 15379792.

Impact

Impact

92%

Reduction in document reading and data entry time

Finance
48%

Error reduction versus manual data entry in case management systems

Finance
380%

Increase in the volume of document processing per FTE

Finance/Public sector
8,000

Hours saved in document and email processing versus RPA

Public sector
90%

Reduction in inspection time

Manufacturing
70%

Reduction in product returns

Manufacturing
15%

Energy savings

Manufacturing
30%

Reduction in network downtime

Telecoms
20%

Improvement in forecast accuracy

Telecoms
95%

Inventory accuracy

Consumer goods

Let’s build something that matters.

Tell us what you’re working on. We’ll help you find where AI adds value or work alongside your team to bring your ideas to life.