Ars Magna Semiconductors

Palma de Mallorca ·Pre-seed

Ars Magna Semiconductors is a University of the Balearic Islands (UIB) spin-off approved by the university's Governing Council on 11 June 2026, created by deep-science investor BeAble Capital in its industry-builder role. It designs AI chips built from scratch for resource-constrained edge environments, combining morphological neural networks and stochastic computing to run machine learning locally with very low energy consumption, in real time and with better data privacy — decentralising AI and easing the AI-hardware shortage. It is backed by two UIB patent families (a third in progress) developed since 2020 at the Institute of Applied Computing and Community Code / AI Institute, and raised €180K from BeAble Capital at creation. It is based in Palma de Mallorca.

Founded
2026
Founders
1
Total funds raised
€180K
Rounds
1
Investors
1
Last round
Jun 2026
SectorsSemiconductors, AI Chips, Edge Computing, Deeptech, Artificial Intelligence Start-up MapDeeptech & Hardware › Semiconductors, compute & AI infrastructure

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Founders

Josep Lluís Rosselló Sanz
Founder & Principal Researcher (Professor of Electronic Technology, UIB)

Global models 5

SiMa.ai
United States · sima.ai ↗
Designs purpose-built low-power machine-learning chips for edge devices and sells them to embedded and industrial OEMs.
~$355MComparable
Hailo
Israel · hailo.ai ↗
Builds edge AI processors from its own architecture so that deep learning can run on devices with very little power.
~$340MComparable
Mythic
United States · mythic.ai ↗
Develops unconventional (analog compute-in-memory) AI inference chips for energy-constrained edge applications.
~$290MComparable
Axelera AI
Netherlands · axelera.ai ↗
A European fabless start-up designing edge AI accelerators on a new in-memory computing architecture for low-power, on-device inference.
~$200MComparable
Syntiant
United States · www.syntiant.com ↗
Makes ultra-low-power neural decision processors that run machine learning locally on battery-powered edge devices.
~$120MComparable

In the same niche 25 others

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Notes: Most funded first

Investors 1

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Funding rounds 1

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