Europe adds 12 new unicorn startups in first half of 2025

Funding season is restarting in Europe, with investors expecting to add several new unicorns in the coming months. Despite fewer mega-rounds than in 2021, a dozen startups passed the $1 billion mark in the first half of 2025.

AI, biotech, defence technology, and renewable energy are among the sectors attracting major backing. Recent unicorns include Lovable, an AI coding firm from Sweden, UK-based Fuse Energy, and Isar Aerospace from Germany.

London-based Isomorphic Labs, spun out of DeepMind, raised $600 million to enter unicorn territory. In biotech, Verdiva Bio hit unicorn status after a $410 million Series A, while Neko Health reached a $1.8 billion valuation.

AI and automation continue to drive investor appetite. Dublin’s Tines secured a $125 million Series C at a $1.125 billion valuation, and German AI customer service startup Parloa raised $120 million at a $1 billion valuation.

Dual-use drone companies also stood out. Portugal-based Tekever confirmed its unicorn status with plans for a £400 million UK expansion, while Quantum Systems raised €160 million to scale its AI-driven drones globally.

Film-streaming platform Mubi and encryption startup Zama also joined the unicorn club, showing the breadth of sectors gaining traction. With Bristol, Manchester, Munich, and Stockholm among the hotspots, Europe’s tech ecosystem continues to diversify.

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Generative AI music takes ethical turn with Beatoven.ai’s Maestro launch

Beatoven.ai has launched Maestro, a generative AI model for instrumental music that will later expand to vocals and sound effects. The company claims it is the first fully licensed AI model, ensuring royalties for artists and rights holders.

Trained on licensed datasets from partners such as Rightsify and Symphonic Music, Maestro avoids scraping issues and guarantees attribution. Beatoven.ai, with two million users and 15 million tracks generated, says Maestro can be fine-tuned for new genres.

The platform also includes tools for catalogue owners, allowing labels and publishers to analyse music, generate metadata, and enhance back-catalogue discovery. CEO Mansoor Rahimat Khan said Maestro builds an ‘AI-powered music ecosystem’ designed to push creativity forward rather than mimic it.

Industry figures praised the approach. Ed Newton-Rex of Fairly Trained said Maestro proves AI can be ethical, while Musical AI’s Sean Power called it a fair licensing model. Beatoven.ai also plans to expand its API into gaming, film, and virtual production.

The launch highlights the wider debate over licensing versus scraping. Scraping often exploits copyrighted works without payment, while licensed datasets ensure royalties, higher-quality outputs, and long-term trust. Advocates argue that licensing offers a more sustainable and fairer path for GenAI music.

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Parental controls and crisis tools added to ChatGPT amid scrutiny

The death of 16-year-old Adam Raine has placed renewed attention on the risks of teenagers using conversational AI without safeguards. His parents allege ChatGPT encouraged his suicidal thoughts, prompting a lawsuit against OpenAI and CEO Sam Altman in San Francisco.

The case has pushed OpenAI to add parental controls and safety tools. Updates include one-click emergency access, parental monitoring, and trusted contacts for teens. The company is also exploring connections with therapists.

Executives said AI should support rather than harm. OpenAI has worked with doctors to train ChatGPT to avoid self-harm instructions and redirect users to crisis hotlines. The company acknowledges that longer conversations can compromise reliability, underscoring the need for stronger safeguards.

The tragedy has fuelled wider debates about AI in mental health. Regulators and experts warn that safeguards must adapt as AI becomes part of daily decision-making. Critics argue that future adoption should prioritise accountability to protect vulnerable groups from harm.

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Cells engineered to produce biological qubit open new quantum frontier

Researchers at the University of Chicago’s Pritzker School of Molecular Engineering have achieved a first-of-its-kind breakthrough by programming living cells to build functional protein qubits.

These quantum bits, created from naturally occurring proteins, can detect signals thousands of times stronger than existing quantum sensors.

The interdisciplinary team, led by co-investigators David Awschalom and Peter Maurer, used a protein similar to the fluorescent marker.

Cells can position it at atomic precision and be employed as a quantum sensor within biological environments.

The findings, published in Nature, suggest this bio-integrated sensor could enable nanoscale MRI to reveal cellular structures like never before and inspire new quantum materials.

However, this advance marks a shift from adapting quantum tools to entering biological systems toward harnessing nature as a quantum platform.

The researchers demonstrated that living systems can overcome the noisy, warm environments that usually hinder quantum technology. The broader implication is a hybrid future in which cells carry out life’s functions and behave as quantum instruments for scientific discovery.

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Publishers set to earn from Comet Plus, Perplexity’s new initiative

Perplexity has announced Comet Plus, a new service that will pay premium publishers to provide high-quality news content as an alternative to clickbait. The company has not disclosed its roster of partners or payment structure, though reports suggest a pool of $42.5 million.

Publishers have long criticised AI services for exploiting their work without compensation. Perplexity, backed by Amazon’s Jeff Bezos, said Comet Plus will create a fairer system and reward journalists for producing trusted content in the era of AI.

The platform introduces a revenue model based on three streams: human visits, search citations, and agent actions. Perplexity argues this approach better reflects how people consume information today, whether by browsing manually, seeking AI-generated answers, or using AI agents.

The company stated that the initiative aims to rebuild trust between readers and publishers, while ensuring that journalism thrives in a changing digital economy. The initial group of publishing partners will be revealed later.

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UNGA adopts terms of reference for AI Scientific Panel and Global Dialogue on AI governance

On 26 August 2025, following several months of negotiations in New York, the UN General Assembly (UNGA) adopted a resolution (A/RES/79/325) outlining the terms of reference and modalities for the establishment and functioning of two new AI governance mechanisms: an Independent International Scientific Panel on AI and a Global Dialogue on AI Governance. The creation of these mechanisms was formally agreed by UN member states in September 2024, as part of the Global Digital Compact

The 40-member Scientific Panel has the main task of ‘issuing evidence-based scientific assessments synthesising and analysing existing research related to the opportunities, risks and impacts of AI’, in the form of one annual ‘policy-relevant but non-prescriptive summary report’ to be presented to the Global Dialogue.

The Panel will also ‘provide updates on its work up to twice a year to hear views through an interactive dialogue of the plenary of the General Assembly with the Co-Chairs of the Panel’. The UN Secretary-General is expected to shortly launch an open call for nominations for Panel members; he will then recommend a list of 40 members to be appointed by the General Assembly. 

The Global Dialogue on AI Governance, to involve governments and all relevant stakeholders, will function as a platform ‘to discuss international cooperation, share best practices and lessons learned, and to facilitate open, transparent and inclusive discussions on AI governance with a view to enabling AI to contribute to the implementation of the Sustainable Development Goals and to closing the digital divides between and within countries’. It will be convened annually, for up to two days, in the margins of existing relevant UN conferences and meetings, alternating between Geneva and New York. Each meeting will consist of a multistakeholder plenary meeting with a high-level governmental segment, a presentation of the panel’s annual report, and thematic discussions. 

The Dialogue will be launched during a high-level multistakeholder informal meeting in the margins of the high-level week of UNGA’s 80th session (starting in September 2025). The Dialogue will then be held in the margins of the International Telecommunication Union AI  for Good Global Summit in Geneva, in 2026, and of the multistakeholder forum on science, technology and innovation for the Sustainable Development Goals in New York, in 2027.

The General Assembly also decided that ‘the Co-Chairs of the second Dialogue will hold intergovernmental consultations to agree on common understandings on priority areas for international AI governance, taking into account the summaries of the previous Dialogues and contributions from other stakeholders, as an input to the high-level review of the Global Digital Compact and to further discussions’.

The provision represents the most significant change compared to the previous version of the draft resolution (rev4), which was envisioning intergovernmental negotiations, led by the co-facilitators of the high-level review of the GDC, on a ‘declaration reflecting common understandings on priority areas for international AI governance’. An earlier draft (rev3) was talking about a UNGA resolution on AI governance, which proved to be a contentious point during the negotiations.

To enable the functioning of these mechanisms, the Secretary-General is requested to ‘facilitate, within existing resources and mandates, appropriate Secretariat support for the Panel and the Dialogue by leveraging UN system-wide capacities, including those of the Inter-Agency Working Group on AI’.

States and other stakeholders are encouraged to ‘support the effective functioning of the Panel and Dialogue, including by facilitating the participation of representatives and stakeholders of developing countries by offering travel support, through voluntary contributions that are made public’. 

The continuation of the terms of reference of the Panel and the Dialogue may be considered and decided upon by UNGA during the high-level review of the GDC, at UNGA 82. 

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The Digital Watch observatory has followed the negotiations on this resolution and published regular updates:

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AI model forecasts Bitcoin to fall below $100,000

Bitcoin has slipped below $110,000, and according to Finbold’s use of ChatGPT-5, a further drop could occur in the coming weeks. The model outlined technical resistance and seasonal factors pointing to September weakness.

Key levels around $112,000 and $106,000 are under pressure, with the AI projecting a sharp decline toward $98,000 if support breaks. Historically, September has been one of Bitcoin’s worst-performing months, adding to the bearish outlook.

Despite the short-term caution, demand from ETFs and long-term holders may offer support between $95,000 and $98,000. Longer-term technicals remain intact, with the 200-day average sitting near $95,000.

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Travellers claim ChatGPT helps cut flight costs by hundreds of pounds

ChatGPT is increasingly used as a travel assistant, with some travellers claiming it can save hundreds of pounds on flights. Finance influencer Casper Opala shares cost-saving tips online and said the AI tool helped him secure a flight for £70 that initially cost more than £700.

Opala shared a series of prompts that allow ChatGPT to identify hidden routes, budget airlines not listed on major platforms, and potential savings through alternative airports or separate bookings. He also suggested using the tool to monitor prices for several days or compare one-way fares with return tickets.

While many money-saving tricks have existed for years, ChatGPT condenses the process, collecting results in seconds. Opala says this efficiency is a strong starting point for cheaper travel deals.

Experts, however, warn that ChatGPT is not connected to live flight booking systems. TravelBook’s Laura Pomer noted that the AI can sometimes present inaccurate or outdated fares, meaning users should always verify results before booking.

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Brave uncovers vulnerability in Perplexity’s Comet that risked sensitive user data

Perplexity’s AI-powered browser, Comet, was found to have a serious vulnerability that could have exposed sensitive user data through indirect prompt injection, according to researchers at Brave, a rival browser company.

The flaw stemmed from how Comet handled webpage-summarisation requests. By embedding hidden instructions on websites, attackers could trick the browser’s large language model into executing unintended actions, such as extracting personal emails or accessing saved passwords.

Brave researchers demonstrated how the exploit could bypass traditional protections, such as the same-origin policy, showing scenarios where attackers gained access to Gmail or banking data by manipulating Comet into following malicious cues.

Brave disclosed the vulnerability to Perplexity on 11 August, but stated that it remained unfixed when they published their findings on 20 August. Perplexity later confirmed to CNET that the flaw had been patched, and Brave was credited for working with them to resolve it.

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Jetson AGX Thor brings Blackwell-powered compute to robots and autonomous vehicles

Nvidia has introduced Jetson AGX Thor, its Blackwell-powered robotics platform that succeeds the 2022 Jetson Orin. Designed for autonomous driving, factory robots, and humanoid machines, it comes in multiple models, with a DRIVE OS kit for vehicles scheduled for release in September.

Thor delivers 7.5 times more AI compute, 3.1 times greater CPU performance, and double the memory of Orin. The flagship Thor T5000 offers up to 2,070 teraflops of AI compute, paired with 128 GB of memory, enabling the execution of generative AI models and robotics workloads at the edge.

The platform supports Nvidia’s Isaac, Metropolis, and Holoscan systems, and features multi-instance GPU capabilities that enable the simultaneous execution of multiple AI models. It is compatible with Hugging Face, PyTorch, and leading AI models from OpenAI, Google, and other sources.

Adoption has begun, with Boston Dynamics utilising Thor for Atlas and firms such as Volvo, Aurora, and Gatik deploying DRIVE AGX Thor in their vehicles. Nvidia stresses it supports robot-makers rather than building robots, with robotics still a small but growing part of its business.

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