TechCrunch News 01月14日
Bioptimus raises $41M to develop a ‘GPT for biology’
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法国AI初创公司Bioptimus融资4100万美元,致力于开发生物学基础AI模型。该模型类似于ChatGPT,但专注于生物应用,利用从分子到整个生物体的原始数据,模拟生物世界,预测疾病结果并开发更有效的治疗方法。Bioptimus由Owkin孵化,利用其积累的多模态患者数据训练模型。公司已推出用于病理学的开源模型H-Optimus-0,并计划今年晚些时候发布涵盖更广泛治疗领域的多模态模型,旨在推动医疗、生物技术甚至化妆品等领域的发展。

🧬Bioptimus是一家法国AI初创公司,专注于开发生物学领域的基础AI模型,其目标是通过模拟生物系统来预测疾病并开发治疗方法。

🔬该公司正在训练一个类似于ChatGPT的AI模型,但专门用于生物学应用,利用包括分子到整个生物体的多模态数据,来深入理解生物学原理。

📊Bioptimus的开源模型H-Optimus-0已用于病理学研究,通过数百万图像辅助疾病诊断,如癌症。公司计划发布更全面的多模态模型,覆盖更广泛的治疗领域。

🤝Bioptimus由AI驱动的生物技术公司Owkin孵化而来,并利用Owkin积累的大量患者数据进行模型训练,这体现了其在生物和AI交叉领域的优势。

🚀该公司的技术不仅限于医药领域,还有潜力推动生物技术、化妆品等多个行业的发展,并有望在生物学发现方面开辟新的可能性。

A fledgling French AI startup has raised $41 million to develop a foundational AI model for biology.

Just as OpenAI’s ChatGPT has taken the world by storm for a super-smart generative AI tool capable of natural language conversation in text form, Bioptimus is taking that concept but training its model specifically for downstream biological applications — something that comes with its own unique set of challenges, given that the required clinical training data is inclined to be sensitive, and not publicly available.

Bioptimus co-founder and CEO Jean-Philippe Vert says the company is looking to develop a greater understanding of biology by learning how it works from raw data spanning molecules to entire organisms. This, he says, will enable scientists and researchers to simulate the biological world to “predict disease outcomes” and develop more effective treatments. And it’s this simulation that Vert says makes its technology a little akin to what ChatGPT’s underlying model is all about.

“Essentially, it’s like the GPT of biology—but instead of generating text, we’re simulating biology,” Vert said in a statement.

France has emerged as something of a hotbed for AI startups, with generative AI companies across the country securing the lion’s share of funding as of last year. Mega funding rounds include Mistral AI’s $640 million tranche, “H” securing $220 million, and Hugging Face closing a $235 million investment — all in the past 18 months.

Bioptimus, for its part, was only founded last year, but already it raised a $35 million seed round. That it has now raised a grant total of $76 million, less than a year from its foundation, is testament not only to the current AI hype, but also the backgrounds of Bioptimus’s six co-founders. Chief technology officer (CTO) Rodolphe Jenatton, for instance, was previously a senior research scientist at Amazon and Google. Vert, meanwhile, is not only co-founder and CEO at Bioptimus, but he’s also chief R&D officer at Owkin, a French unicorn and yet another AI-infused biotech startup with backers including GV.

This dual role hints at Bioptimus’s origins. Owkin leverages AI and machine learning to accelerate drug discovery, and has built a swathe of partnerships with top biopharmaceutical companies. As part of this work, Owkin has also amassed a ton of multimodal patient data, which is what Bioptimus will using to train its foundational model.

So, rather than creating a tangential unit inside Owkin that was focused on foundational models, it simply made more sense to create a separate entity.

“Building biology [foundational models] is not a part of Owkin’s roadmap, but Owkin supports and is keen to partner with a company like Bioptimus,” Vert explained to TechCrunch in an interview last year. “Training very large-scale [foundational models] requires important resources in terms of data volume, computing power and breadth of data modalities that are easier to unlock as a specific entity. As a ‘pure player’ in foundational models, Bioptimus is better set up to do this.”

In the intervening months, Bioptimus launched H-Optimus-0, an open source foundation model for pathology, which was trained on millions of images to help in the research and diagnoses of diseases, such as cancer. However, with a fresh $41 million in the bank, the company is set to bolster its AI platform with a more diverse array of data sources covering broader therapeutic areas, while it will also look to build further partnerships with the pharmaceutical and biotech sector.

As part of this, it’s gearing up to release a new multi-modal foundation model later this year, spanning the entire biological spectrum, one that can drive development in sectors including medical, biotech, and even cosmetic.

“Beyond pharmaceuticals, this model will unlock limitless possibilities across many other industries, driving biological discoveries in ways we are only beginning to imagine,” Vert said.

Bioptimus’s latest cash injection was led by U.S. venture capital firm Cathay Innovation, with participation from Sofinnova Partners, Bpifrance, Andera Partners, Hitachi Ventures, Boom Capital Ventures, Pomifer Capital, Sunrise, and several angel investors.

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Bioptimus 生物AI 基础模型 多模态数据 疾病预测
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