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Beyond Lovable and Mistral: 21 European startups to watch

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Europe should be known for BottleCap AI, not bottle cap memes. With its tongue-in-cheek name, this Prague-based AI startup is one of the teams that VCs think you should know.

It is not that European startups never cut through the noise — Lovable and Mistral AI are proof of it. But there are many more that don’t have nine digits in annual recurring revenue yet and that insiders are still tracking very closely.

That’s where this list comes in. Over the last few weeks, we asked investors at some of Europe’s best known venture funds to recommend two startups each: one from their portfolio (because they liked the startup well enough to invest) and one outside of it (because they are the startup experts but can’t invest in them all). We also threw in a few picks of our own.

From pre-launch to unicorn, these startups are at different stages in their journey, and from different sectors. Due to our methodology, they may not reflect where the region’s hottest hubs are, but they do reflect how deep tech talent could help Europe play its own cards in the AI race.

Alta Ares

Recommended by Julien Codorniou, general partner, 20VC.

What it does: Alta Ares develops AI-powered counter-drone systems.

Why it’s worth watching: Defense tech has gone from pariah to trending, particularly in Europe, where the war in Ukraine was a wake-up call for armies to modernize. Alta Ares’ interceptors answer a need for cheaper solutions to detect and fight drone incursions.

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Apron 

Recommended by Jan Hammer, partner, Index Ventures (investor).

What it does: Apron provides invoice management for small business owners.

Why it’s worth watching: SMBs can be a lucrative segment for fintech companies; business owners are willing to spend at least some money to save time, and there are millions of them.

Botify 

Recommended by Claire Houry, general partner, Ventech (investor).

What it does: Botify helps brands increase their visibility in AI searches.

Why it’s worth watching: Companies are still scrambling to replace SEO with generative engine optimization (GEO) — but this Disrupt NY 2016 alum has already embraced the shift. Botify has competitors in its new field, such as Otterly.AI and Profound, but also big customers, from Macy’s to The New York Times.

BottleCap AI

Recommended by Julien Codorniou, general partner, 20VC (investor).

What it does: BottleCap AI develops efficiency-focused foundational LLMs and apps.

Why it’s worth watching: With a founding trio that includes an entrepreneur who sold his previous company to Meta and two AI researchers, BottleCap adopted a dual approach. The startup is building its own models and releasing apps built on top of them, including Pulse, an AI-powered news app.

Cailabs

Recommended by Flavia Levi, investment manager, Join Capital.

What it does: Cailabs develops photonics for aerospace, defense, and industrial applications.

Why it’s worth watching: Cailabs is based on advanced research on the science of light, which it now applies to faster and more robust data transmission. Backed by public and private investors, it plans to deploy 50 optical ground stations to support growing demand for laser communications with satellites.

Cailabs' turnkey optical ground station
Cailabs’ turnkey optical ground station.Image Credits:Cailabs

Cala

Recommended by TechCrunch’s Anna Heim.

What it does: Knowledge graph for AI agents.

Why it’s worth watching: Cala plans to build the knowledge layer that AI agents are missing. Its founder is Elisenda Bou-Balust, a high-profile Spanish entrepreneur and AI expert who sold her previous company Vilynx to Apple in 2020. 

Flower

Recommended by Pär-Jörgen Pärson, partner, Northzone (investor).

What it does: Renewable energy management.

Why it’s worth watching: Wind and solar energy are inherently variable. Flower leverages AI and battery energy storage systems to make their use more predictable. This Swedish company also recently raised over $60 million in bonds to keep on scaling.

Fundamental 

Recommended by Jonathan Userovici, general partner, Headline (investor).

What it does: Foundation AI for big data analysis.

Why it’s worth watching: Fundamental’s foundation model, Nexus, focuses on helping enterprises draw insights from their data. The company just emerged from stealth in February, but it is already valued at $1.4 billion following a $255 million Series A. 

Gradium 

Recommended by Jonathan Userovici, general partner, Headline.

What it does: AI voice models.

Why it’s worth watching: Gradium’s AI models can be used for real-time text-to-speech that gives AI agents a voice in multiple languages. A spinout of French AI lab Kyutai, this ElevenLabs challenger raised a $70 million seed round of its own.

HappyRobot 

Recommended by Pablo Ventura, general partner, Kfund.

What it does: AI agents for complex use cases.

Why it’s worth watching: HappyRobot, a startup backed by a16z and Y Combinator, is one of many building AI agents, but its focus is on making sure that these can be deployed and deliver ROI. It is headquartered in the U.S., but its three co-founders and part of its team are Spanish.

Inbolt deployed
Inbolt AI robot in deployment.Image Credits:Inbolt

Inbolt 

Recommended by Claire Houry, general partner, Ventech.

What it does: Physical AI for factories.

Why it’s worth watching: Mixing AI and robotics, Inbolt improves and expands automation in manufacturing, from the automotive industry and electronics to home goods production lines. The startup says it is already active in more than 70 factories.

Legora

Recommended by Pär-Jörgen Pärson, partner, Northzone.

What it does: AI platform for lawyers.

Why it’s worth watching: With increased competition from mainstream LLMs, legal tech will also be about marketing. Grab the popcorn for Harvey v. Legora after Legora one-upped its rival by enlisting Jude Law to be the face of its brand. That’s one point for the Swedish-born startup, which is now headquartered in New York but is still one of Stockholm’s rising AI stars.

Macrodata Labs 

Recommended by Floriane de Maupeou, principal, Serena Data Ventures.

What it does: AI training data infrastructure.

Why it’s worth watching: “Every strong model starts with great data,” Macrodata Labs claims on its “coming soon” landing page. But the startup won’t build that data; its upcoming platform will provide other companies with tooling to create solid training datasets. 

Multiverse Computing

Recommended by TechCrunch’s Julie Bort.

What it does: Offers compressed versions of open weight models like OpenAI, Meta, DeepSeek, and Mistral AI.

Why it’s worth watching: Multiverse Computing‘s tech takes a proven model and makes it smaller and less expensive to operate, especially on a company’s own hardware. Co-founded by CTO Román Orús, a professor at the Donostia International Physics Center, the Spanish startup has raised $250 million.

Optics11

Recommended by Flavia Levi, investment manager, Join Capital (investor).

What it does: Fiber-optic sensing systems.

Why it’s worth watching: Optics11’s technology makes it possible to monitor equipment underwater and in similarly harsh conditions. Its potential in preventing disruptions to subsea infrastructure and energy grids helped the startup secure venture debt from the European Investment Bank.

Pennylane

Recommended by Jan Hammer, partner, Index Ventures.

What it does: Finance management platform for SMBs.

Why it’s worth watching: Pennylane started out with accounting, but it has bigger plans. Like many other growth-stage fintechs, this French unicorn has expanded its scope, with the ambition to build a unified financial operating system for SMBs in Europe.

PLD Space

Recommended by TechCrunch’s Anna Heim.

What it does: Launches rockets.

Why it’s worth watching: PLD Space is part of Europe’s push for space autonomy. After successfully launching a suborbital rocket in 2023, it is currently developing a reusable orbital launcher for small satellites. Last month, the Spanish company secured a $209 million Series C round led by Mitsubishi Electric that brought its funding to more than $350 million.

PLD Space's MIURA 1 space rocket during its presentation in Madrid in 2021.
PLD Space’s MIURA 1 space rocket during its presentation in Madrid in 2021.Image Credits:Eduardo Parra / Europa Press via Getty Images / Getty Images

Proxima Fusion

Recommended by Daria Saharova, general partner, World Fund.

What it does: Nuclear fusion.

Why it’s worth watching: The race for an alternative to nuclear fission is on, and Proxima Fusion is one of Europe’s strongest contenders. The VC-backed company recently secured $460 million from the state of Bavaria to support its plans to build a fusion power plant in Europe, starting with a demonstration stellarator near Munich.

Roofline 

Recommended by Floriane de Maupeou, principal, Serena Data Ventures (investor).

What it does: Software for AI model deployment on advanced chips.

Why it’s worth watching: University spinout Roofline bridges the gap between AI and an increasingly fragmented hardware layer with software that lets users deploy models efficiently on different types of chips.

Space Forge

Recommended by Daria Saharova, general partner, World Fund (investor).

What it does: Space Forge manufactures semiconductor components in space.

Why it’s worth watching: In-space manufacturing is on the rise — for pharmaceutical applications and for chips, which are Space Forge’s focus. With extra tailwinds from geopolitics, the startup is already forging ahead: It recently generated plasma in low Earth orbit. 

Theker 

Recommended by Pablo Ventura, general partner, Kfund (investor).

What it does: Robots as a service.

Why it’s worth watching: Theker is one of several startups backed by Zara owner Inditex through a dedicated fund managed by Mundi Ventures. Theker’s AI-enabled robots could help the retail giant improve its logistics, but the startup is also pursuing use cases in waste management and food and beverage production.

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Police Nab Cultists, Bandit Collaborators, Recover Human Skull and Illegal Firearm in Plateau

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The Plateau State Police Command has recorded major breakthroughs in its ongoing crackdown on crime, with the arrest of multiple suspects linked to illegal arms possession, cult violence, and banditry across the state.

Briefing journalists on May 1, 2026, at the Command Headquarters in Jos, Commissioner of Police, CP Bassey Ewah, disclosed that operatives acting on credible intelligence arrested a 31-year-old suspect, David Ponnan, in the early hours of April 29 at JUTH, Lamingo area. Items recovered from him include a locally made double-barrel pistol, a pump-action cartridge, and a human skull. The suspect reportedly claimed he took the firearm from a local vigilante operative and converted it for personal use. Police say investigations are ongoing to determine the full circumstances surrounding the disturbing discovery.

In a separate operation, nine suspects were arrested on April 30 by officers of the Nassarawa Gwong Division over alleged involvement in criminal conspiracy, assault, and cult-related activities in Jos North Local Government Area. The suspects, all residents of Bulbula and Dilimi communities, were accused of attacking several individuals with dangerous weapons, leaving one victim with serious injuries. Preliminary investigations revealed that the suspects belong to rival cult groups known for terrorizing residents in the Dilimi axis.

Meanwhile, the Command also confirmed the arrest of two suspects, Musa Adamu and Mohammed Abubakar, in Gudus village of Wase LGA for suspected involvement in banditry. The duo was intercepted along a route commonly used by bandits to launch attacks on nearby communities. During interrogation, they allegedly confessed to supplying cash and materials to bandits in their hideouts. Recovered items include cigarette packs, ₦50,000 cash, Airtel recharge cards, and substances linked to illicit drug use.

CP Ewah assured residents that all suspects remain in custody and will be prosecuted upon the conclusion of investigations. He reiterated the Command’s commitment to tackling crime and urged the public to continue providing useful information to aid security operations.

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Uber wants to turn its millions of drivers into a sensor grid for self-driving companies

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Uber has a long-term ambition that goes well beyond shuttling passengers: the company eventually wants to outfit its human drivers’ cars with sensors to soak up real-world data for autonomous vehicle (AV) companies — and potentially other companies training AI models on physical-world scenarios.

Praveen Neppalli Naga, Uber’s chief technology officer, revealed the plan in an interview at TechCrunch’s StrictlyVC event in San Francisco on Thursday night, describing it as a natural extension of a nascent program the company announced in late January called AV Labs.

“That is the direction we want to go eventually,” Naga said of equipping human drivers’ vehicles. “But first we need to get the understanding of the sensor kits and how they all work. There are some regulations — we have to make sure every state has [clarity on] what sensors mean, and what sharing it means.”

For now, AV Labs relies on a small, dedicated fleet of sensor-equipped cars that Uber operates itself, separate from its driver network. But the ambition is clearly much larger. Uber has millions of drivers globally, and if even a fraction of those cars could be transformed into rolling data-collection platforms, the scale of what Uber could offer the AV industry would dwarf what any individual AV company could assemble on its own.

The insight driving the program, Naga said, is that the limiting factor for AV development is no longer the underlying technology. “The bottleneck is data,” he said. “[Companies like Waymo] need to go around and collect the data, collect different scenarios. You may be able to say: in San Francisco, ‘At this school intersection, I want some data at this time of day so I can train my models.’ The problem for all these companies is access to that data, because they don’t have the capital to deploy the cars and go collect all this information.”

Becoming the data layer for the entire AV ecosystem is a pretty smart play, particularly considering Uber years ago abandoned its own ambitions to build self-driving cars (a move that co-founder Travis Kalanick has publicly lamented as a big mistake). Indeed, many industry observers have wondered if, without its own self-driving cars, Uber might one day be rendered irrelevant as AVs increasingly spring up around the globe.

The company currently has partnerships with 25 AV companies — including Wayve, which operates in London — and is building what Naga described as an “AV cloud”: a library of labeled sensor data that partner companies can query and use to train their models. Partners, which Uber plans to more aggressively invest in directly, can also use the system to run their trained models in “shadow mode” against real Uber trips, simulating how an AV would have performed without actually putting one on the road.

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“Our goal is not to make money out of this data,” Naga said. “We want to democratize it.”

Given the obvious commercial value of what Uber is building, that positioning may not last long. The company has already made equity investments in numerous AV players, and its ability to offer proprietary training data at scale could give it significant leverage over a sector that right now depends on Uber’s ride marketplace to reach customers.

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