Turning a business objective into a technology strategy can get complicated very quickly. Organisations such as schools, hospitals and estate managers can invest significant energy defining their vision, only to be overwhelmed by competing technologies, confusing offers and seemingly similar solutions that all claim to be "the thing" they need. This is where Quantum Spark steps in. We are not selling you a product, we help you buy with confidence.
Quantum Spark is independent by design. We don't sell hardware, software or a technology platform, so there is no product waiting at the end of our advice.
Our role is to understand what you're trying to achieve, work out what you actually need, and help you make the right decisions about how to get there. Sometimes that means new technology or AI. Sometimes it doesn't.

Rich Lansdowne
Director, Quantum Spark
Quantum Spark was founded in 2025 by Rich Lansdowne, drawing on 35 years in technology, including 28 years at Semtech Corp, the company behind LoRa and LoRaWAN.
His career spanned the technology stack, from radio equipment and mobile phone design through to network infrastructure, IoT and sensor-to-cloud solutions, with more than a decade focused specifically on IoT.
Good technology strategy depends on understanding what's actually possible. Quantum Spark's technical depth means we can challenge the assumptions behind a proposed solution, understand how the pieces fit together, and distinguish genuine technical constraints from those imposed by a particular product or supplier.
That experience spans devices and sensors, connectivity and networks, cloud services, data and AI; allowing decisions to be made with an understanding of the whole system rather than one part in isolation.
Technology decisions ultimately have to make commercial sense. Rich spent more than 15 years with P&L responsibility in a NASDAQ-listed company, where investment decisions had to balance opportunity with cost, risk, resources and return.
That experience allows Quantum Spark to work across both sides of the conversation: understanding the technology deeply enough to challenge the solution, while keeping the business case and desired outcome firmly in view.
The opportunities presented by AI are immense, but AI depends on the right data. In the physical world that often means sensors and connectivity; elsewhere the information may already exist but be fragmented, inaccessible or poorly structured. Used well, even a handful of sensors can unlock insights that weren't visible before.
Our job is to break the path into manageable, meaningful steps and be honest about where AI genuinely adds value and where it doesn't.