Breaking news

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.

Samsung Chip Profit Surges As AI Demand Strains Memory Supply

Samsung Electronics reported a sharp increase in quarterly profit, with operating profit in its chip division rising 49-fold year-on-year. The results reflect growing demand linked to artificial intelligence, which is also affecting supply conditions in the memory market.

Record Quarterly Gains

Operating profit in the chip division increased from 1.1 trillion won to 53.7 trillion won over the past year, accounting for 94% of the total quarterly profit of 57.2 trillion won. These results reflect the role of memory chips in supporting infrastructure related to AI and data processing.

Widening Supply-Demand Gap In Memory Chips

Kim Jaejune said current production capacity remains below demand levels. Forecasts extending to 2027 indicate that the gap between supply and demand may widen further as requirements for high-performance chips increase, particularly in AI data centres.

Securing Supply Amid AI Investment

In response, Samsung has entered into multi-year agreements with key customers to secure supply. At the same time, production capacity is being directed toward advanced chips used in AI systems, including those developed by Nvidia.

Production Risks And Strategic Adjustments

The company is also preparing for potential disruptions related to labour activity in South Korea, particularly within its semiconductor operations. Measures have been introduced to maintain production continuity, while capital expenditure is expected to increase to support demand from AI-related applications.

Impact On Broader Business Segments

Higher component costs have affected other business units. The mobile division recorded a 35% decline in profit, while operating profit in the display segment decreased by 20%, reflecting the impact of rising input costs.

Aretilaw firm
The Future Forbes Realty Global Properties
eCredo
Uol

Become a Speaker

Become a Speaker

Become a Partner

Subscribe for our weekly newsletter