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Isomorphic Labs Secures $600 Million To Revolutionize Drug Discovery With AI

Isomorphic Labs, the trailblazing AI-driven drug discovery startup, has successfully raised $600 million in its inaugural funding round. The Series A round, spearheaded by Thrive Capital, also saw continued backing from Alphabet’s Google Ventures, marking a significant milestone for the company.

Why This Matters

With AI rapidly becoming the core of innovation in nearly every tech sector, Isomorphic Labs is tapping into the booming intersection of artificial intelligence and pharmaceuticals. As demand for AI-powered solutions surges, particularly in drug development, this latest investment highlights the growing importance of AI in reshaping the life sciences industry.

The Backstory

Founded in 2021, Isomorphic Labs emerged from Google’s renowned AI research division, DeepMind. The company builds on DeepMind’s groundbreaking advancements, including the Nobel-winning “AlphaFold” model, which accurately predicts protein structures—critical to understanding diseases and developing new drugs. Isomorphic’s work represents the next frontier in AI-powered medicine.

Looking Ahead

The newly secured capital will fuel the company’s R&D ambitions and accelerate its talent acquisition. Founder and CEO Demis Hassabis, who also heads DeepMind, has ambitious plans. He aims for Isomorphic Labs to have AI-designed drugs entering clinical trials by the end of 2025—a timeline that underscores both the company’s potential and the immense promise of AI in revolutionizing drug discovery.

This $600 million funding round not only signals strong investor confidence but also cements Isomorphic Labs’ position at the forefront of the AI pharmaceutical revolution.

Apple Ties Its Mac Strategy To The AI Boom With New Mac Mini And Mac Studio Models

Apple has updated its Mac Mini and Mac Studio desktops with new processors and higher AI performance as developers increasingly use Macs for local AI workloads. The new models are scheduled to ship on Sept. 22, weeks before the company is expected to introduce its next iPhone generation.

Macs Target Local AI Development

Developers and researchers are increasingly using Apple computers to run AI models locally, reducing reliance on cloud infrastructure. Mac Mini systems can support AI agent software, while Mac Studio machines are designed for more demanding model training and deployment workloads.

Apple said its processors combine Neural Engines for machine learning with unified memory architecture designed to reduce performance bottlenecks. The company says the combination allows users to run and fine-tune larger AI models directly on their devices.

Mac Mini Gets First M6 Generation Chip

The updated Mac Mini can be configured with Apple’s M6 and M5 Pro processors, making it the company’s first computer with an M6-generation chip. The M6 is manufactured by Taiwan Semiconductor Manufacturing Co. (TSMC) using a 2-nanometer process.

The previous Mac Mini lineup offered M4, M4 Pro and M4 Max processors. Apple said the M5 Pro version of the new model can process large language model prompts 8.5 times faster than earlier Mac Mini Pro configurations.

Pricing has also increased. The new Mac Mini starts at $899, $100 more than the previous model, after Apple raised the price from $599 earlier this summer, citing higher memory costs.

Mac Studio Targets Larger AI Workloads

Mac Studio remains Apple’s highest-performance desktop without an integrated display, following the discontinuation of the Mac Pro earlier this year. New configurations include the M5 Max, which Apple says can run large language models nearly four times faster than the previous generation.

The M5 Ultra is available for users with heavier computing requirements. Apple says multiple Mac Studio systems using the Ultra chip can be connected to pool memory and run models with up to a trillion parameters.

Mac Studio with the M5 Max starts at $2,499, unchanged from the previous generation. The M5 Ultra configuration starts at $5,499, compared with at least $5,299 for the previous model using the M3 Ultra.

Apple Expands Its Local AI Hardware

The new desktops give developers and researchers more computing capacity for running AI models locally. Apple is also increasing the role of its custom processors and unified memory architecture in handling AI workloads without relying entirely on cloud-based computing.

Both Mac Mini and Mac Studio models are available for presale and are scheduled to begin shipping on Sept. 22.

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