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Edge AI & embedded intelligence
Inference that runs on the device — on a microcontroller, an SoC or an FPGA — with a power and latency budget that holds.
Belgium · Deep-tech engineering house
Engineering intelligent embedded systems for the AI era
DeeplyDynamics designs advanced hardware, embedded software, FPGA systems and edge AI for next-generation products — from the first block diagram to a board leaving the assembly line.
- Disciplines under one roof
- Hardware · Firmware · FPGA · Edge AI
- Engagement
- Concept to production, or any phase of it
Silicon, toolchains and platforms we work with every week
- Microchip
- NXP
- Renesas
- STMicroelectronics
- Texas Instruments
- Infineon
- Analog Devices
- onsemi
- Nexperia
- Lattice
- AMD Xilinx
- Altera
Capabilities
Six disciplines, one project team
Most engagements combine several of these. Each can also be hired on its own — including as a second opinion on a design that is already underway.
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Hardware design
From a first block diagram to a manufacturable board — schematics, layout, bring-up and validation.
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Embedded software & firmware
Firmware on microcontrollers and processors, plus the Linux, Windows and Android software around it.
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FPGA development
Logic design for high-speed acquisition, imaging and interfacing where a processor alone will not keep up.
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Prototyping & production
Prototype builds, manufacturing files and the follow-up that gets a design cleanly into series production.
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Project & engineering management
Leading a development in-house, or helping your organisation build the process to run it well.
Signature capability
Bringing intelligence directly into embedded systems
When a machine has to react in milliseconds, keep working when the link drops, and never send its images anywhere, the model belongs on the device. We design the silicon around it, not the other way round.
- TinyMLClassification and anomaly detection on Cortex-M, in kilobytes.
- Real-time visionCapture to decision inside the control loop, not after it.
- FPGA accelerationDeterministic inference on the high-rate data path.
- Sensor fusionConditioned, time-stamped data before the model sees it.
- Low-power inferenceDuty cycling and budgets that survive a battery spec.
- Field learningOn-device capture and retraining pipelines that close the loop.
Full product lifecycle
Concept to production, without a handover gap
Every phase ends in something you can review — a document, a board, a measurement — rather than a status update.
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Concept
Requirements, constraints, volumes, certification path.
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Architecture
Block diagram, silicon choice, hardware / software / logic split.
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Hardware
Schematics, layout, power, signal integrity, EMC-aware design.
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Firmware
Bare-metal, RTOS or embedded Linux, in version control from day one.
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FPGA
RTL for the paths a processor cannot meet deterministically.
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AI integration
Model sizing, quantisation and the pipeline that feeds it.
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Validation
Bring-up, characterisation, EMC pre-compliance, recorded results.
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Production
Manufacturing pack, test definition, assembler follow-up.
Industries
Where these systems end up
Different sectors, one constant: electronics that has to work reliably, for years, in a place nobody will visit to reboot it.
Industrial automation
Motion control, machine interfaces, deterministic fieldbus links and equipment that has to run for a decade.
Robotics
Real-time control loops, sensor fusion, safe motion and the compute that has to fit inside a moving machine.
Machine vision & imaging
High-speed sensor interfacing, FPGA image pipelines and inference close to the sensor.
Medical devices
Precision analogue front ends, traceable design records and hardware built to survive an audit.
Aerospace & defence
High-reliability electronics, long lifecycles, documented design decisions and controlled component sourcing.
Industrial IoT
Low-power sensor nodes, secure connectivity, fleet provisioning and firmware you can update in the field.
Automotive electronics
CAN and automotive Ethernet, harsh-environment hardware and functional-safety-aware design practice.
Scientific instrumentation
High-speed acquisition, timing accuracy, noise budgets and measurement you can defend with numbers.
Why DeeplyDynamics
A partner that stays accountable to the last board
One team across every layer
Board, firmware, logic and model are designed by the same people. The interesting failures live exactly between those layers — and here there is nobody to hand them to.
Senior engineers, not a pyramid
The person in the kickoff call is the person doing the work. No account layer translating your requirements into someone else’s first embedded project.
Measured, never assumed
Margins, timings, currents and inference latency are measured on hardware and written down. When we are unsure, we say so instead of smoothing it over.
Designs you actually own
Sources, schematics, layout, models and manufacturing data are yours. Nothing is locked to us, and another competent engineer can continue without us.
Get in touch
Build your next intelligent product with DeeplyDynamics.
Tell us what you are building and what is in the way — the timing, the noise, the power budget, the deadline. We will tell you honestly whether we are the right people for it, and what we would do first.