---
title: "EUCLYD’s €200M+ Series A: Samsung and EQT Bet on AI Efficiency Silicon"
description: "Eindhoven’s EUCLYD signed a Series A of more than €200M (~$235M+) on September 15, 2026, co-led by Samsung, Somerset, EQT’s Scaleup Europe Fund, and Innovation Industries — with former ASML CEO Peter Wennink as chair."
date: 2026-09-15T00:00:00.000Z
source: https://venturecapitaltracker.com/2026-euclyd-200m-eur-series-a-samsung-eqt-ai-silicon
---

# EUCLYD’s €200M+ Series A: Samsung and EQT Bet on AI Efficiency Silicon

> Eindhoven’s EUCLYD signed a Series A of more than €200M (~$235M+) on September 15, 2026, co-led by Samsung, Somerset, EQT’s Scaleup Europe Fund, and Innovation Industries — with former ASML CEO Peter Wennink as chair.

**[EUCLYD](/startup/euclyd)** signed a Series A of **more than €200 million (~$235M+)** on **September 15, 2026**, co-led by **Samsung**, **Somerset Capital Partners**, the **Scaleup Europe Fund managed by EQT**, and **Innovation Industries**. Former **ASML** CEO **Peter Wennink** joins as chairman ([company PR](https://www.prnewswire.co.uk/news-releases/euclyd-raises-over-200-million-to-break-the-ai-efficiency-wall-302878043.html)).

One of Europe’s largest recent early-stage AI-infra tickets is not another GPU cloud — it is an Eindhoven bet that **compute + memory + datacenter co-design** can break the cost- and power-per-token wall.

## Key facts

| Field | Detail |
| --- | --- |
| Company | [EUCLYD](/startup/euclyd) ([euclyd.ai](https://euclyd.ai)) — High Tech Campus Eindhoven |
| Round | Series A **>€200M (~$235M+)**; exact amount above floor **n/d**; valuation **n/d** |
| Co-leads | Samsung, Somerset Capital Partners, Scaleup Europe Fund (EQT), Innovation Industries |
| Participants | EIFO, imec.xpand, BOM, Quadri |
| Governance | Peter Wennink (ex-ASML CEO) — Chairman |
| Product (company) | craftwerk “agentic AI silicon”; craftwerk station CWS “lowest-power exascale AI factory” |
| Commercial status | Financing to expand engineering and **prepare** commercial deployment — not framed as mature revenue scale |

*Samsung, Somerset, Scaleup Europe Fund / EQT, Innovation Industries, EIFO, imec.xpand, BOM, and Quadri are **not** in our `/fund/` directory as linkable profiles — editorial names only.*

## Who uses the product — and for what job

**Users (intended):** Enterprises, sovereign AI programs, and hyperscalers that are hitting **power, memory bandwidth, and $/token** walls deploying foundation models — not teams that only need another API wrapper.

**Job today:** Build the silicon + memory + systems stack (programmable ASICs, processor-memory co-design, datacenter packaging) that EUCLYD markets as the path to “Abundant Intelligence.”

**Job next:** Commercial deployment across those three buyer classes after the engineering org scales. Treat craftwerk / CWS branding as **roadmap claims** until shipped silicon and customer contracts are public.

## Why now

- Foundation-model capability is racing ahead of **deployable watts and memory bandwidth**; every major AI budget is now an energy and CapEx story.
- Europe wants sovereign options that are not only rented U.S. GPU capacity — Eindhoven’s semiconductor ecosystem (ASML adjacency via Wennink) is the credibility hack.
- Scaleup Europe Fund already put large checks into European AI platforms ([Mistral](/2026-mistral-3b-series-d-samsung-eqt)); silicon is the missing substrate for that same sovereignty thesis.

## Why Samsung and Scaleup Europe Fund — portfolio fit

**Samsung** (Semiconductor Innovation Center) is a strategic co-lead: it needs differentiated partners on datacenter efficiency, not only internal roadmaps. A public SVP quote in the release frames the next AI phase as infrastructure efficiency, not only model novelty.

**Scaleup Europe Fund (EQT)** is explicitly hunting European deeptech/AI companies that can become global leaders with public–private scale capital. EUCLYD matches the mandate better than a thin SaaS Series A: hard engineering, campus roots, and a cost-per-token thesis LPs can explain.

**Innovation Industries** (€1B AUM deeptech, Amsterdam/Eindhoven/Munich) is the local deeptech specialist that bridges Dutch/German technical universities and industrial partners — the “lab to scale” seat on a four-way co-lead.

Somerset adds long-duration private capital; EIFO / imec.xpand / BOM add Nordic and Benelux semiconductor ecosystem money.

## Competitive map

| Approach | Tradeoff |
| --- | --- |
| NVIDIA / merchant GPU stacks | Best software ecosystem; power and supply constraints |
| Other AI ASIC hopefuls (train/infer specialists) | Focused silicon; weaker full-stack memory/datacenter story |
| Liquid cooling / facilities-only plays | Helps watts at the building layer; not $/token silicon |
| EUCLYD full-stack efficiency claim | Ambitious systems thesis; execution and tape-out risk |

## What is not proven

- Exact raise above **€200M**, valuation, and ownership.
- Any **revenue**, design wins, or tape-out schedule in the announcement.
- Independent verification of “world’s first” / “lowest-power exascale” product language — treat as company positioning.

## Practical takeaway

- **Founders (European deeptech):** A four-way co-lead with a strategist + Scaleup Europe Fund is now a real path for **>€100M+** Series As if the problem is infrastructure scarcity, not feature SaaS.
- **Investors:** Diligence silicon milestones vs press architecture; Wennink is a signal, not a substitute for process nodes and customers.
- **Buyers (sovereign / hyperscale):** Watch for credible power and $/token deltas against GPU baselines before budgeting around CWS.

### Sources

1. [PR Newswire — EUCLYD €200M+ Series A](https://www.prnewswire.co.uk/news-releases/euclyd-raises-over-200-million-to-break-the-ai-efficiency-wall-302878043.html)
2. [EUCLYD](https://euclyd.ai/)

**By:** [Venture Capital Tracker](https://venturecapitaltracker.com/editorial-policy)
**Last updated:** September 15, 2026

**Editorial note:** AI tools assisted with research, structure, or drafting. Venture Capital Tracker retains human editorial responsibility for factual accuracy, relevance, and source quality before publication.