What it sells
Neuroplastic AI for real-time adaptive control
Business model breakdown
Buyer: who owns the budget?
UnverifiedControls/R&D engineering teams at industrial OEMs.
Trigger: what makes them buy now?
Control methods like PID degrade as workload variety grows; need to avoid calibration and retuning.
Workflow: what inputs become what output?
Neuroplastic AI controllers replace or complement PID control loops, self-commissioning and adapting in real time on existing hardware.
Economics: what it saves and how it charges
UnverifiedEmbedded-control IP sold through industrial partnerships: controllers run inside existing hardware (<1kB to 25kB footprint). Claims 800x fewer synapses and 400x less compute than a DeepMind RL benchmark; no price or licence model published.
Distribution: how it reaches customers
Partnership/engagement-led ('Get in Touch', partnering with industrial companies).
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| 2026-07-07 | Series A | €9.4M | — | news.google.com |
Profiles summarize public reporting and company websites. Business-model notes are MaxBC's reading of that material, not confirmed facts; unknowns are left blank rather than guessed. Updated 2026-10-12.