Skip to content
World clockEU--:--UK--:--USA--:--CN--:--PLDEFRIT中文EN

portal about AI and technologyevents · analysis · interviews · technical background

Search
LIVE
›

Alibaba Cloud puts $3M into Omarchy as European AI funding cools

Alibaba Cloud is joining the Omacom Foundation as a Founding Corporate Patron with $1 million a year for three years, the foundation said on 28 September, a $3 million commitment that brings its total backing to about $21.7 million.

BusinessAnalysisDr. Amara PatelPublished: 28 September 20266 min readSources 5
Alibaba Cloud puts $3M into Omarchy as European AI funding cools

The announcement went up at 00:28 UTC on 28 September. Alibaba Cloud becomes the third Founding Corporate Patron of the Omacom Foundation, alongside DigitalOcean and Meta Superintelligence Labs, according to the foundation's news post. The pledge matches DigitalOcean's backing and lifts total support to roughly $21.7 million.

The money is only part of it. The post says Alibaba Cloud will help build Omarchy China: local CDN capacity, hosting, a website, meetups and community work aimed at Chinese users. The foundation frames this as removing friction from downloading Linux, installing packages and keeping machines updated in the country.

With the announcement of Qwen Book, Alibaba is putting its ambition for the agentic computer into hardware. We're going to collaborate on making Omarchy the ideal agentic operating system for that computer.

Qwen Book is described in the same post as a native AI agent computer built around what Alibaba Cloud calls "OS as Harness": deep integration of models, the operating system, applications, cloud services and hardware. The company says the system supports ARM and x86, with the first release on ARM, and includes a low-power Agent Engine and a Continuous Context Engine. Alibaba Cloud's CTO, LI feifei, is credited in the post with making the partnership happen.

That is a hardware and OS play, not a funding round in the usual venture sense. But it lands in a week when the dossier shows several different shapes of money moving into AI-adjacent software and infrastructure, from a Dutch venture studio to a solo-built research tool.

Eindhoven studio raises €2.65M

On 24 September, Tech.eu reported that Eindhoven-based OWOW Venture Studio had secured €2.65 million from eight family offices and angel investors. The studio builds and backs early-stage B2B startups in manufacturing, OEMs and construction, with an emphasis on software-as-a-service and AI, including physical AI applications.

The numbers are small by AI infrastructure standards. Investments will range from €100,000 to €250,000 per startup, with OWOW planning to add at least three new ventures a year for the next three years. The studio formally launched in late 2025, initially targeted €2 million, and raised the round to €2.65 million after investor interest. It has made two investments so far: Synthgen, an Eindhoven company generating synthetic data for training AI models used in robots and machines, and Caddy Clubhouse, a British platform connecting golfers with caddies.

OWOW's pitch rests on customer access rather than capital alone. Tech.eu quotes the studio's position that it only invests in industries it has worked in for almost fifteen years, and that it must be able to find launch customers itself before committing. The studio is led by Robin Dohmen, with Kees van Nunen as Head of Ventures, Vincent van Deursen as Head of Product and OWOW founder Pieter-Jan Pieters. It also runs an advisory board with members from the venture capital sector.

The other end of the market

Not every AI product in the dossier arrived with a term sheet. ParkourNote, posted to Hacker News on 28 September at 00:31 UTC, is a research workspace for papers, notes, videos and writing, built solo in a month with Claude, according to its own launch page. It imports arXiv papers, PDFs, EPUB books, Markdown, web pages, YouTube and Bilibili videos, MP4 files and recordings, then transcribes and translates them, keeping notes beside the page.

The product description says it runs in the browser, in Chrome's side panel and on phones, and that Claude, ChatGPT or Codex can read a user's library through it. ParkourNote also acts as an MCP server, with OAuth sign-in and no API keys, so a conversation in another assistant can search the library, read papers and notes, and follow the page a user has open. Translation covers eleven languages. The layout, themes and reading progress are stored per project.

No funding figure is given anywhere in the launch page. The relevant claim is the build time and the tooling: one person, one month, Claude. That is a different cost structure from a €2.65 million studio round or a $3 million corporate patronage, and it is worth stating plainly that the dossier does not tell us what ParkourNote cost to build or whether it has any outside backing.

Historical research is the third place these models show up. On 24 September, the Substack Res Obscura published an argument that AI labs should fund historical research, written after the releases of GPT-6 Sol and Opus 5.5. The author reports using GPT-6 Astra to identify a passage Isaac Newton had freely translated into Latin from a French alchemical text, an identification the post says had not previously been made.

The post also describes GPT-6 Astra's role in breaking a 10 July 1941 Enigma message. Cryptological researcher Frode Weierud is quoted saying the file references the model mentions, RS 3-3/20a and RS 3-3/63b, are correct but are not available on the Crypto Cellar Research website, and that it is not clear whether the model accessed the German Bundesarchiv's digitised collections or found the files elsewhere. Weierud says researchers are still analysing the logs.

On the same day, 27 September, a different kind of project surfaced on GitHub: a browser-based 3D walkthrough of Maniac Mansion, reconstructed from the original EGA screens. Built with Blender, Three.js and AI, according to its repository, it connects 34 room spaces with baked lighting and no backend. It is a fan project, not a company, and there is no funding attached.

What the week actually shows

Three outlets, three very different funding shapes. A venture studio in Eindhoven raising €2.65 million to back manufacturing and construction software. A cloud provider committing $3 million over three years to a Linux foundation and an unlaunched agentic computer. A solo developer shipping a research workspace built with a frontier model in a month.

The dossier does not contain a large AI software round this week. The German, Estonian and US funding headlines circulating on 28 September are context only and are not part of the sources here, so they cannot be used to size the market. What can be said is narrower: the newest dated development is Alibaba Cloud's patronage, announced 28 September, and it is a strategic bet on an operating system plus hardware plus models, not a financial return play.

For European founders watching this, the OWOW round is the more conventional signal, and it is a small one. €2.65 million split across at least nine ventures over three years is roughly €100,000 to €250,000 each, at the low end of what an AI software company needs. OWOW's answer is that it brings developers, designers, AI specialists and its own client base, so the cheque is not the whole investment. Whether that model produces companies that can raise later rounds is not something the dossier answers.

Comments 0

Sources

5
  1. 01Alibaba Cloud joins as a Founding Corporate Patron with $3 millionEN
  2. 02OWOW Venture Studio lands €2.65M to build B2B startups for traditional industriesEN
  3. 03Show HN: ParkourNote – A research workspace, built solo in a month with ClaudeEN
  4. 04AI labs need to start funding historical researchEN
  5. 05Show HN: Maniac Mansion Reconstructed in 3D from Its Original ScreensEN

All figures and quotations in this text come from the sources listed below.

Content prepared by the editorial team with AI assistance.

Dr. Amara Patel

Dr. Amara Patel

Economy, business and world

Dr. Amara Patel covers business, world affairs and the economy for FLASH24, working from filings, central bank statements and trade data rather than press releases, and she does not let company spin stand in for numbers. She checks revenue recognition, debt covenants and currency effects line by line against audited reports and regulatory disclosures. Her week includes calls with analysts, logistics operators and trade lawyers, and she watches the calendar for rate decisions, earnings dates and port and freight updates, comparing each against prior quarters. Outside the desk she tracks tech-company accounts and rides cargo bikes, which keeps her close to both the balance sheets she reads and the supply chains she covers. She does not publish a figure she cannot trace to a primary document.

Newsroom →

Comments

0
  1. No comments yet — be the first.

Write a comment

Comments are public. We do not publish abuse, spam or advertising.