Investors
Falanga Invest led the round, with Draper Associates backing the company since 2018. The capital funds manufacturing scale, engineering depth and first commercial deployments, not the discovery of whether the physics works.
2017
Tim Draper, Draper Associates
2026
Falanga Invest Perton
Led by Falanga Invest
Priority dates from 2018
Backed by Draper since 2018
Automotive to healthcare
Investment thesis
Most AI-hardware companies compete on architecture on top of a foundry process anyone can buy. CyberSwarm’s advantage begins one level lower, in a patented IGZO resistive element and the array built from it. That is expensive to replicate and difficult to design around.
For a decade, edge AI was a nice-to-have because models were small enough to fit or workloads could be pushed to a data centre. Physical AI removes both escapes: a robot, a vehicle or an implant has a fixed power budget and no acceptable round-trip. The architecture that wins there is the one that stopped moving weights.
We are not building a training accelerator, and we are not asking anyone to abandon their GPU cluster. We sit at the deployment end of the same pipeline, in devices those clusters will never be installed in, which makes the incumbents distribution partners rather than obstacles.
The reason novel hardware fails commercially is almost never the hardware. It is that nobody can deploy to it. Compiler, runtime, calibrated simulator and PyTorch-compatible SDK were built alongside the device precisely so that adoption does not require faith.
European defence, industrial and healthcare buyers increasingly need compute that is not dependent on a foreign cloud. An architecture where inference physically cannot leave the device is a strong answer to a question procurement is now required to ask.
Founded 2017, filing since 2018, granted patents in 2024 and 2025. The Series A funds scaling, not discovery, the hard physics risk was retired over the preceding decade.
Market
Every figure below is published by the analyst house named beside it. We do not model our own market.
$36.2B
Edge AI chip market, 2026
Grand View Research. Projected to $291.8B by 2033, 34.7% CAGR
$20.3B
Neuromorphic computing by 2030
Grand View Research, from $5.3B in 2023, 19.9% CAGR
$96B
Edge AI chipset market, 2031
ABI Research, from $34.4B in 2026
We are not competing for the training-cluster line of that spend. Our addressable slice is inference in devices that will never host a GPU: vehicles, robots, satellites, implants and unattended industrial nodes, the segment growing fastest and served worst by conventional architectures.
Traction
Use of funds
Move from validated arrays to larger tiled fabrics and the multi-chip configurations that commercial workloads need.
Device physics, mixed-signal design, compiler and runtime, the disciplines that have to sit in the same building for this to work.
Joint development with automotive, aerospace, defence, healthcare and robotics partners, from evaluation through qualification.
Take design wins through characterisation, qualification and supply so that reference customers become production customers.
Backers
Series A lead investor
Prague & Bratislava
Early backer since 2018
Silicon Valley
“Neuromorphic computing is not meant to replace digital systems. It represents a new computational layer between traditional computing and quantum. Designed for problems that neither solves efficiently.”
“This Series A marks the beginning of the next phase for CyberSwarm and for neuromorphic computing itself. We believe the future of AI will require entirely new architectures, and CyberSwarm is building toward that future.”
“We invested in CyberSwarm because we see a company with deep technical expertise, original intellectual property, and a long-term vision. We believe neuromorphic computing will become one of the defining technological directions of the next decade, fundamentally reshaping artificial intelligence and advanced computing.”
Diligence
Investor relations reaches the founding team directly at office@cyber-swarm.net.