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This Startup Is Using AI To Revive Failed Drugs: Here’s How It’s Attracting Investors

Ignota Labs, a startup with a unique approach to drug discovery, is using artificial intelligence to breathe new life into drugs that were once abandoned due to safety concerns. The company recently raised $6.9 million in seed funding, a significant sum that highlights the growing investor interest in AI-driven solutions for pharmaceutical innovation.

Led by CEO Sam Windsor, Ignota Labs targets drug candidates that were 80-90% developed but ultimately scrapped due to toxicity issues. Instead of reinventing the wheel, Ignota Labs acquires these “failed” drugs, diagnoses their safety issues using AI, and tweaks the compounds for another shot at clinical trials. Windsor believes this approach could save time and money compared to traditional drug development.

“Traditional drug discovery could cost upwards of $10 million and take seven to eight years just to reach clinical trials,” Windsor explained. “Our approach can achieve the same result in less than two years and for under $1 million.” This pitch resonated with investors, with Montage Ventures and AIX Ventures co-leading the seed round. Other investors, including Modi Ventures, Blue Wire Capital, and Gaingels, also participated.

Ignota Labs stands out in a crowded field of AI drug discovery companies. While many startups focus on creating entirely new drugs, Windsor’s team has chosen to concentrate on refining existing candidates that others have left behind. “In 2021, AI-driven drug discovery was exploding, but most of these companies weren’t addressing the drugs that had already been developed,” Windsor noted. He believes this oversight presents a valuable opportunity, particularly in safety science, which tends to be undervalued by many in the sector.

The company’s AI platform, which analyzes toxicity and suggests chemical modifications, is key to its success. Windsor points out that while safety science may not be the most glamorous part of drug development, it holds immense potential. “Safety is seen as a hurdle to overcome rather than the exciting end goal,” he said. “But this is where we see real opportunity.”

Now, with the fresh capital from the recent funding round, Ignota Labs plans to acquire additional distressed drug assets and advance its first drug—an Alzheimer’s treatment based on a PDE9A inhibitor—into early-stage trials.

Despite the challenging fundraising environment over the past two and a half years, Ignota Labs has found the right backers who believe in its innovative approach to breathing new life into old drug candidates. If successful, Ignota Labs could become a game-changer in the pharmaceutical industry, offering a cost-effective, accelerated path to clinical trials and potentially revolutionizing how the industry views “failed” drugs.

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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