Tags: health tech

London-based AI startup Helical announced a $10 million seed round led by redalpine, with participation from Gradient, BoxGroup and Frst. Angel investors include Cohere CEO Aidan Gomez and HuggingFace CEO Clément Delangue. The funding will fuel expansion of Helical’s Virtual Lab and Model Factory tools, which aim to bridge the gap between large biological foundation models and day‑to‑day drug‑discovery workflows. Helical already counts several top‑20 pharmaceutical companies among its customers, including a public collaboration with Pfizer. Lire la suite

OpenAI announced the acquisition of Torch, a small health‑tech startup, for equity valued at $100 million. Torch’s four‑person team, which built a platform described as a "medical memory for AI," will join OpenAI as it expands its new ChatGPT Health service. The technology aims to unify scattered medical data—from doctor visits to wearable devices—into a single context engine for artificial‑intelligence analysis, positioning OpenAI to offer more comprehensive health‑focused AI tools. Lire la suite

Simple, an AI‑powered health‑coaching platform founded by Mike Prytkov, closed a $35 million Series B round led by Kevin Hart’s HartBeat Ventures. The funding will support the expansion of its AI coach Avo, new GLP‑1 companion features, and specialized programs for women’s health and midlife users. Simple’s approach combines personalized AI guidance with real‑time meal feedback, positioning it as a differentiated alternative to traditional diet apps. The company aims to become the “Duolingo of health,” offering a fun, daily health companion beyond weight loss. Lire la suite

SleepSpace, an AI‑driven sleep‑tracking app founded by Dan Gartenberg, provides users with detailed sleep analysis and personalized recommendations through its Dr. Snooze chatbot. The app works without mandatory wearables, using a phone’s microphone and motion sensor to monitor sleep sounds and movement. After a seven‑day trial, users can subscribe for ongoing access. SleepSpace’s machine‑learning models, trained on polysomnography data, deliver sleep‑stage breakdowns and actionable tips, while human experts intervene when the AI cannot answer a query. Reviewers note the app’s accuracy, ease of use, and the clarity it brings to nightly sleep patterns. Lire la suite