FPGA & ASIC Development · Embedded Systems · AI · Software Engineering · FPGA & ASIC Development · Embedded Systems · AI · Software EngineeringFPGA & ASIC Development · Embedded Systems · AI · Software Engineering · FPGA & ASIC Development · Embedded Systems · AI · Software Engineering
What we build
Our Technological Services
Four disciplines, one team — so the boundary between hardware and software stops being someone else's problem.
SVC :: FPGA & ASIC
FPGA & ASIC Development
Custom RTL design, verification, and timing closure for high-performance, low-latency digital systems.
Ingenious Technologies has over 25 years of experience across FPGA & ASIC development, embedded systems, AI, and software engineering. We know these disciplines thoroughly, and we bring a professional, dependable approach to every project we take on.
A UK engineering studio built around one idea: hardware and software should be designed by people who understand both — not handed off between teams that don't talk to each other.
FPGA & ASIC Development · Embedded Systems · AI · Software Engineering · FPGA & ASIC Development · Embedded Systems · AI · Software EngineeringFPGA & ASIC Development · Embedded Systems · AI · Software Engineering · FPGA & ASIC Development · Embedded Systems · AI · Software Engineering
Who we are
25+ Years Across Hardware and Software
Ingenious Technologies has over 25 years of experience across FPGA & ASIC development, embedded systems, AI, and software engineering. We know these disciplines thoroughly, and we bring a professional, dependable approach to every project we take on.
Most engineering teams draw a hard line between the people who build hardware and the people who build software — and that line is where projects slow down, requirements get lost in translation, and timing bugs turn up two weeks before launch. We built this studio to work on both sides of that line at once, so the boundary between hardware and software stops being someone else's problem.
Whether that means closing timing on an FPGA & ASIC design, hardening firmware for a device that has to run unattended for years, deploying AI inference on constrained hardware, or writing the systems software that ties it all together, it's handled by the same team, start to finish.
Company Datasheet
DisciplinesFPGA & ASIC / Embedded / AI / SW
Experience25+ Years
BasedUnited Kingdom
Team StructureIn-house engineers
EngagementFull project or embedded team
How we work
Our Values
The habits that carry across every discipline we work in — from RTL to production software.
01
Cross-Disciplinary by Design
Our engineers move between hardware and software rather than working in separate silos, so integration problems get caught at the design stage, not after fabrication or deployment.
02
Engineering Rigor
Verification, timing closure, and testing aren't a phase we get to eventually — they're built into how we design from the first block diagram.
03
Dependable Delivery
Two decades in, our reputation rests on shipping systems that keep working in the field, not just in the demo. We plan for that from day one.
Work with us
Have a project that spans hardware and software?
Tell us what you're building — we'll tell you honestly whether it's a fit.
FPGA & ASIC, embedded systems, AI, and software — handled by people who understand how they fit together, so the boundary between hardware and software stops being someone else's problem.
FPGA & ASIC Development · Embedded Systems · AI · Software Engineering · FPGA & ASIC Development · Embedded Systems · AI · Software EngineeringFPGA & ASIC Development · Embedded Systems · AI · Software Engineering · FPGA & ASIC Development · Embedded Systems · AI · Software Engineering
Our capabilities
What We Do
Pick one discipline or bring us the whole stack — the same team covers all four.
SVC :: FPGA & ASIC
FPGA & ASIC Development
Custom RTL design, verification, and timing closure for high-performance, low-latency digital systems.
Custom RTL design, verification, and timing closure for high-performance, low-latency digital systems.
What's included
Capabilities
01
RTL Design & Architecture
Clean, well-documented Verilog/VHDL built for the timing and area budget you actually have, not just to pass simulation.
02
Verification & Timing Closure
Testbenches, functional coverage, and static timing analysis, so surprises show up in simulation rather than in the lab.
03
Vendor & Toolchain Fluency
Xilinx, Intel/Altera, and Lattice toolflows, from constraints to bitstream, without treating the vendor tools as a black box.
How we approach it
Built for the timing budget you actually have
FPGA work fails quietly until it doesn't — a design that simulates clean can still miss timing on real silicon. We design with the target device's constraints in from the start: floorplanning, clock domains, and resource budget considered alongside the logic itself, not bolted on after the fact.
Typical Engagement
DeliverablesRTL + testbench + timing report
ToolchainsXilinx / Intel / Lattice
Good fit forLow-latency & signal processing designs
EngagementFixed-scope or embedded team
Explore the rest
This rarely stands alone
Most projects touch more than one discipline — here's the rest of what we do.
Firmware and hardware-software co-design for resource-constrained devices, built for reliability in the field.
What's included
Capabilities
01
Firmware & Drivers
Bare-metal and RTOS firmware, bootloaders, and peripheral drivers, written for devices that run unattended for years.
02
Hardware-Software Co-Design
Input on board bring-up and peripheral selection early enough that firmware isn't fighting the schematic later.
03
Field Reliability
Watchdogs, power-fail handling, and update paths designed for devices you can't just walk over and reboot.
How we approach it
Designed for devices you can’t just reboot
Most embedded failures happen in the field, not on the bench — a brownout during a write, a firmware update that bricks a unit, a sensor that drifts after a year of vibration. We design the boring parts (power-fail handling, watchdogs, update paths) with the same care as the interesting parts, because that’s what keeps a fleet of deployed devices out of a support queue.
Typical Engagement
DeliverablesFirmware + drivers + bring-up docs
PlatformsARM Cortex-M/A, RISC-V
Good fit forField-deployed & resource-constrained devices
EngagementFixed-scope or embedded team
Explore the rest
This rarely stands alone
Most projects touch more than one discipline — here's the rest of what we do.
Machine learning pipelines and edge inference, tuned to run efficiently on the hardware you actually ship.
What's included
Capabilities
01
Model Development
Training pipelines and model selection built around the constraints of the target hardware, not a GPU cluster that never ships.
02
Edge Deployment & Optimization
Quantization, pruning, and inference optimization so models run within the power and latency budget of embedded and FPGA targets.
03
Data & MLOps
Pipelines for data collection, labeling, and retraining that keep a deployed model useful after launch, not just at demo time.
How we approach it
Models built for the hardware they’ll actually run on
A model that only runs well on the training rig isn't finished. We work backward from the power, memory, and latency budget of the actual target — often the same embedded or FPGA hardware our other teams are building — so the model that gets demoed is the one that ships.
Typical Engagement
DeliverablesTrained model + inference pipeline
TargetsEdge / embedded, FPGA inference
Good fit forOn-device inference under power or latency limits
EngagementFixed-scope or embedded team
Explore the rest
This rarely stands alone
Most projects touch more than one discipline — here's the rest of what we do.
Full-stack and systems software that talks fluently to the hardware beneath it.
What's included
Capabilities
01
Systems Software
Drivers, APIs, and middleware that sit close to the hardware and expose it cleanly to everything above.
02
Full-Stack Application Development
Web and desktop applications and tooling that turn hardware data into something a user or another system can actually use.
03
Tooling & Test Infrastructure
Internal tools, test rigs, and CI pipelines that make hardware-in-the-loop testing routine instead of a one-off.
How we approach it
Software written by people who’ve seen the hardware
A lot of software bugs at the hardware boundary come from software engineers guessing at how the hardware behaves. Ours don't have to guess — the same studio building the firmware and RTL is available to answer exactly how a peripheral or protocol behaves, which is why the software layer tends to just work.
Typical Engagement
DeliverablesSource + docs + test suite
StackMatched to the project
Good fit forSoftware that has to talk to real hardware
EngagementFixed-scope or embedded team
Explore the rest
This rarely stands alone
Most projects touch more than one discipline — here's the rest of what we do.
Ingenious Technologies
