IMD Technologies is a UK-based embedded hardware company operating globally, building SOM and SBC platforms on leading silicon from Qualcomm, Renesas, and NXP. Within each product family, platforms are pin-to-pin compatible: a scalable, seamlessly upgradable foundation for Edge AI product development.
Who is IMD Technologies?
Founded in 2017, IMD Technologies (IMDT) is a specialist in vision and AI-powered products, systems, and solutions. The company designs and manufactures SBC (single-board computer) and SOM (system-on-module) platforms for Edge AI, computer vision, and embedded computing, with engineering expertise spanning real-time vision hardware and software, AI and machine learning algorithms, and full manufacturing capability from design through to production.
IMDT platforms are built on silicon from three of the industry’s leading chip manufacturers: Qualcomm, Renesas, and NXP.
A defining characteristic of IMDT’s platform architecture is pin-to-pin compatibility across each platform family. Engineering teams can upgrade to a higher-performance chip without redesigning the board. The platform stays. Only the silicon changes. This is not just a product feature. It is a long-term development strategy: teams build once and scale forward as their performance requirements grow.
The same philosophy carries through to how customers engage. Every platform in the portfolio is available as an evaluation kit, giving engineering teams a defined path from first evaluation to volume production. For customers whose requirements go beyond a standard platform, IMDT’s engineering team can adapt or develop a custom design to fit.
Filling the gap between microprocessors and AI accelerators
To understand IMDT’s portfolio strategy, it helps to understand the landscape it operates in. IMDT has long designed and manufactured platforms built on established embedded processors from NXP and Renesas. These are the building blocks of the industrial embedded world: proven, power-efficient, and widely adopted across robotics, industrial IoT, and AI vision applications.
But the embedded processing market has a structural gap. On one end, those established microprocessors. On the other, NVIDIA’s Jetson platform, powerful but designed primarily for rapid prototyping rather than rugged industrial deployment. Between them, engineering teams building production-grade, high-performance Edge AI systems have had limited options.
IMDT made a deliberate decision to address that gap by expanding its portfolio to include Qualcomm Dragonwing-based platforms. These platforms deliver a level of AI processing performance that sits above traditional embedded processors, while remaining built for the realities of industrial deployment in a way that prototyping-focused platforms are not.
The reason Qualcomm platforms are a natural fit for this space is rooted in where they came from, mobile devices: a sector that demanded high-performance AI processing, native camera interfaces, and power efficiency long before the industrial embedded world treated these as requirements. That heritage translates directly into capability advantages for Edge AI customers, as George Dickey, Vice President of Business Development and Sales, explains.
“When we consider the needs of an embedded product’s interfaces, like connecting it to a camera: with Qualcomm Dragonwing, there are multiple native MIPI-CSI camera interfaces,” he says. “With NVIDIA, you’d need an Ethernet or USB interface, which is very unusual on an embedded industrial device.”
One area where IMDT has established a specific technical edge within this expanded platform line is imaging. Dickey notes that Qualcomm has granted IMDT access to its proprietary Image Signal Processor (ISP), a closely controlled part of the camera stack that enables IMDT to provide a highly efficient, tailored video pipeline and support exotic image sensors. The company’s Bristol-based software team has close links to Qualcomm’s UK design office in Farnborough.
Markets, applications, and the path to production
IMDT’s platforms span a wide range of industries: robotics, agritech, healthcare, aerospace, and smart infrastructure. Dickey is clear about where the biggest near-term opportunities lie: autonomous machines and high-end vision AI.
One contract win illustrates both the opportunity and the model. A customer building a robot to inspect offshore pipes needed a platform that could handle complex AI vision workloads at the Edge, in a compact, low-power form factor, without relying on a Cloud connection. They started with an IMDT evaluation kit, adapted the platform to their specific connectivity and software requirements, and moved to production. It is the path IMDT has designed for engineering teams across its full portfolio. The company is active across a growing range of similar applications: drone technology, surface and subsurface autonomous vehicles, and agritech robotics.
A second key market is vision-based sensing, including radar, LiDAR, and ultrasound, with applications in medical devices and industrial monitoring. The company’s platform capabilities also extend to defence and aerospace.
In addition to its SBC and SOM platform family, IMDT produces an off-the-shelf AI camera product built on NXP silicon: a ready-to-deploy option for customers who need a working vision AI solution without a custom hardware design process.
Expanding IMDT’s presence in the UK and Europe
George Dickey joined IMDT as Vice President of Business Development and Sales with a clear mandate: accelerate the company’s growth across the markets he knows so well.
A semiconductor industry veteran, Dickey has spent his career bringing complex electronic products to market across the industrial, medical, and mil/aero sectors, from design through to delivery. What drew him to IMDT, he explains, is the alignment between what the company builds and where the embedded AI market is heading.
He sees the UK and European engineering community at an inflection point. Teams are making platform decisions now that will define their products for the next several years, and they need hardware partners that can grow with them, not just supply them.
“We want to become another piece of LEGO that design houses can slot in to quickly bring their customers’ complex embedded products to market.”
What comes next
The conversation around AI has shifted. The question is no longer whether AI will run at the Edge. It already does. The more important question now is who gets to build with it.
“For a long time, deploying real AI at the Edge meant expensive, bespoke hardware. It was within reach for large programs with significant budgets. What is changing now is the cost curve. Production-ready platforms on leading silicon mean that engineering teams who previously could not justify the investment are now building AI-powered products. The barrier to entry is coming down, and the range of applications that become possible expands with it.”
For IMDT, that expanding opportunity maps directly to what it has built: a multi-silicon platform family covering the full range of Edge AI applications, with production-ready hardware and a defined path from evaluation to volume.
