Artificial intelligence is rapidly redefining what is technically possible across government, defence, and national infrastructure. Yet for many public sector organisations, the way AI is procured and delivered has barely changed. Expensive feasibility studies and months of presentations often stand between an idea and something that actually works.
Stealth Labs – a new Bramble Hub partner – is setting out to change that.
Founded by former Microsoft AI solutions engineers, Stealth Labs is a young company with a clear and unapologetic focus: delivering working AI systems for the public sector, quickly, confidently, and without the traditional consultancy overhead.
From Microsoft to Stealth Labs
The founders of Stealth Labs are Sammy Harris and Steve Chan, both of whom previously worked as AI Solutions Engineers at Microsoft. In those roles, they supported public sector customers across defence, national security, health, and wider government, helping teams take ideas from early concepts through to production-ready systems.
At Microsoft, the founders’ work was grounded in strong software engineering fundamentals, combined with a practical understanding of where AI can genuinely add value. This often meant using AI to understand undocumented legacy applications, embedding AI into existing systems, or designing entirely new services – always with a focus on real-world outcomes rather than experimentation for its own sake.
That experience shaped the way Stealth Labs now operates. Rather than treating AI as a bolt-on or a theoretical exercise, it is used as a tool to accelerate understanding, reduce risk, and enable faster decision-making.
A prototype-first approach to AI delivery
“We want to get away from slideware. We’re not a consultancy that spends six months and half a million pounds just to get to a prototype.”
One of the clearest themes to emerge from Stealth Labs’ work is a rejection of “slideware”. Instead of charging for months of ideation, workshops, and documentation, Stealth Labs builds working prototypes and proofs-of-concept upfront.
When a customer asks whether something is possible, the answer is rarely a presentation. It is a working system.
By using AI to rapidly reverse-engineer legacy applications, explore architectural options, and test ideas in practice, Stealth Labs can give public sector teams confidence early. This approach dramatically reduces both cost and risk, and allows informed decisions to be made in weeks rather than months.
The result is a delivery model that feels fundamentally different to traditional consultancy. Customers are not paying to find out if something might work: they start the project knowing that it does.
Solving real public sector problems
“If you approach the problem from an AI-centric point of view, it’s not whether it can be done – it can be done. It’s about getting enough knowledge to make informed decisions.”
Stealth Labs’ work focuses on practical, high-impact challenges faced by government organisations.
One example is a document intelligence solution designed to tackle the growing risk and inefficiency of large SharePoint estates. Many public sector organisations hold vast quantities of unstructured data across documents, spreadsheets, and PDFs, often with limited visibility of what information is held where.
The solution automatically ingests and normalises documents, applies AI to identify risks such as sensitive or inappropriate content, and enables users to securely query their organisation’s data through a conversational interface. The outcome is improved governance, reduced duplication, and significantly better use of existing information.
Another area of focus is predictive AI: Stealth Labs has developed a forecasting platform capable of analysing complex datasets to predict future locations, events, or outcomes. This has applications across areas such as transport, border operations, and national security, where timely insight can make a material difference to decision-making.
In both cases, the emphasis is not on novelty, but on delivering systems that public sector teams can actually use and own.
Why public sector only?
“Our focus is 100% public sector. It’s what we know, and it’s where we know we can do good work.”
Stealth Labs’ exclusive focus on the public sector is deliberate. Both founders have strong experience in the sector, and Sammy has spent more than a decade as a civil servant, so understands how procurement works from the inside.
That experience brings a clear motivation: delivering better value for taxpayers while enabling public sector teams to move faster. Rather than embedding large teams on long-running engagements, Stealth Labs aims to deliver, transfer knowledge, and leave customers with systems they can maintain themselves.
Ultimately, the ambition goes even further. As AI tools continue to mature, the long-term goal is to reduce dependency on external suppliers altogether, enabling public sector organisations to take ideas to production independently.
A different future for AI delivery
“We’re already reducing overhead for the public sector – and the end goal is that they don’t even need us anymore.”
Stealth Labs represents a growing shift in how AI can be delivered to government – one that prioritises speed, confidence, and real outcomes over process and presentation.
By combining deep public sector experience with a prototype-first mindset, the team is demonstrating that meaningful AI delivery does not need to be slow, risky, or prohibitively expensive.
For organisations under pressure to do more with less, that difference matters.
