Analysis

March 21, 2025

15 AI healthtechs to watch, according to VCs

Investors from Kindred Capital, Eurazeo, Speedinvest, Calm/Storm Ventures and Frontline Ventures share their picks

Funding for AI healthtechs in Europe is on track to hit levels not seen since the 2021 boomtimes this year. 

European healthtechs deploying AI as part of their offering have raised $701m so far in 2025, according to Dealroom. It’s a figure that will easily top funding in each of the past three years — and approach the record $3.3bn set in 2021 — if money continues to pour into the sector at a similar rate for the remaining nine months.

Daniel Ek’s Neko Health, which uses AI to provide insights from a body scan, has raised the biggest round in the sector so far this year, picking up $260m from investors including General Catalyst and Lightspeed. 

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Clinical trials startup Lindus, radiology imaging company Quibim and GenAI techbio platform Latent Labs have all raised north of $50m in the first three months of 2025. 

So which startups have VCs got their eyes on? Sifted asked investors from Kindred Capital, Eurazeo, Speedinvest, Calm/Storm Ventures and Frontline Ventures to find out. 

Leila Zegna, general partner at Kindred

Lindus Health — UK

Lindus Health is reshaping the clinical trials process by using AI to design and implement clinical trials and identify and enrol patients faster. Founded in 2021, Lindus Health and companies like it that are focused on efficient and effective clinical trials are particularly critical today, in the era of AI-accelerated drug discovery, where we predict an explosion of therapeutic candidates that will need clinical validation before getting to patients. Lindus has raised $79m.

HealX — UK

Healx uses AI to repurpose existing drugs for treatment of rare diseases. Over 95% of rare conditions have no therapy available, and these repurposing approaches could have a transformative impact on the lives of patients in search of treatments.  

Founded in 2014, Healx recently dosed the first patient in their Phase II clinical trial for neurofibromatosis type 1 (NF1), a rare genetic disorder characterised by the development of tumours along nerves. The startup has raised $137m.

Neko Health — Sweden

Neko Health specialises in preventive healthcare by using advanced AI-driven full-body scanning technology to detect potential health risks early. Despite us all being consumers of healthcare, the category has a very poor consumer experience, and tends to be reactive instead of proactive — more ‘sickcare’ than ‘healthcare’. Founded in 2018, Neko has raised $326m.

Neko could mark a shift in how we all consume and participate in our own healthcare — moving from reactive treatment to AI-driven preventive care. 

Antoine Zins, venture partner at Euazeo

Squaremind — France

Founded in 2019, Squaremind is building an autonomous dermatology robot for skin examinations. The device performs comprehensive skin check-ups with dermatoscopic precision, dramatically reducing physician workload while creating valuable longitudinal skin data for patients. 

For at-risk individuals, it enables consistent monitoring previously impossible at scale. For medical practices, it frees dermatologists to focus on diagnosis and treatment while providing them with richer, more objective data to inform clinical decisions. As skin cancer rates continue rising globally, Squaremind's innovation addresses a critical healthcare bottleneck with perfect timing. The startup has raised $2.8m.

Recept.ai — France

Recept is a voice AI startup that automates telephone calls with patients at dentist practices, booking appointments and optimising schedules.

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These clinics waste tons of time dealing with no-shows, juggling complicated reschedules, and sorting patient priorities. Founded in 2024, Recept addresses these problems by building a complete AI-powered patient system specifically for dental practices. 

Teton.ai — Copenhagen

Teton AI is building a patient monitoring platform for people in care homes and on hospital wards. An optical sensor tracks patient movements, quickly detecting falls and identifying when someone needs help — without intrusive cameras or uncomfortable wearables.

Nurses receive alerts showing which patients need immediate attention, helping them maximize their limited time and energy. The system also cuts down on paperwork by automatically documenting patient activities — giving valuable insights while freeing up more time for actual care. Founded in 2020, Teton has raised $5.3m.

Johannes Blaschke, partner at Calm/Storm Ventures

FormlyAI — Germany and US

Formly AI is an AI-powered software that speeds up medical device certification and cuts costs for makers. The startup, founded in 2021, combines generative AI with expert knowledge to automate regulatory strategy, compliance validation and audit support. Using LLMs, it processes regulations, device literature and client data to generate all necessary documentation.

Handshake Health — Germany

Handshake Health applies AI to streamline public healthcare procurement. The startup, founded in 2024, automates procurement outreach, using AI-powered smart monitoring to match opportunities, agent-based workflows to prepare documents and statistical game theory to optimise pricing, making tendering faster, more efficient and transparent.

Oxford Neurolabs — UK

Oxford Neurolabs uses AI-powered digital biomarkers to measure brain health and predict neurodegenerative diseases like Parkinson’s. By leveraging consumer devices like smartphones and smartwatches, the AI tracks real-time biomarkers, enabling early prediction and providing gold-standard data for pharma clinical trials and patient monitoring.

Vocca AI — France

Founded in 2024, Vocca is an AI voice assistant for healthcare providers, autonomously handling inbound calls, appointment scheduling, and patient follow-ups. Using advanced speech recognition and medical protocol understanding, it integrates seamlessly with electronic health records to optimise workflows.

Andrea Zitna, partner at Speedinvest

Radium — France

Founded in 2022, Radium is developing a foundation model for precision radiology, processing images and text. It provides fast, automated measurements and analysis of biomarkers, enhancing diagnostic accuracy and efficiency. There have been many waves of diagnostics and workflow tools in radiology in the past but we believe new AI companies like Radium, with their multi-modal, scalable approach can become a new standard to support radiologists. 

Newton’s Tree — UK

Newton’s Tree is building a platform for hospitals to buy, integrate, monitor and evaluate AI faster and cheaper. The startup, founded in 2023, is vendor neutral, supporting hospitals with both in-house and external AI solutions deployment. The platform and marketplace also provides AI vendors with a new distribution channel. 

Voize — Germany

Voize uses AI-powered voice recognition technology to enable caregivers to document patient care hands-free and in real-time. By integrating with existing software systems, Voize streamlines workflows and allows healthcare professionals to focus on patient care instead of paperwork. Founded in 2020, the company’s AI-driven platform is already being used in many care facilities and hospitals, helping to improve efficiency and compliance in an industry struggling with staff shortages and increasing regulatory demands.

William McQuillan, partner at Frontline

William McQuillan, Frontline partner

Exazyme — Germany

Exazyme is building an AI-driven platform that enables biotech, pharma and chemical companies to efficiently predict protein evolutions — which can be used to develop novel drugs and treatments. The startup, founded in 2021, says it can achieve superior outcomes with up to 100 times fewer experiments compared to traditional methods. Exazyme has raised €2m.

Synthetic Therapy Lab — Germany

Synthetic Therapy Lab is building an empathetic conversational AI suite for patient care, making high-precision mental health therapy more affordable than traditional care. Its proprietary LLM delivers substantially greater therapeutic precision than industry standards, with intervention APIs outperforming all generic models in treatment outcomes.

Kai Nicol-Schwarz

Kai Nicol-Schwarz is a senior reporter at Sifted. He covers UK tech and healthtech, and can be found on X and LinkedIn