Aignostics secures $34 million Series B to improve precision medicine with AI

Investments will support new product offerings, US expansion, and development of pathology foundation models

05-Nov-2024
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Aignostics, a global artificial intelligence (AI) company that turns complex multi-modal pathology data into transformative insights, announced that it has raised $34 million in Series B financing. This additional funding will be used to build new product offerings for biopharmaceutical clients, fuel growth within the United States (US), and develop leading foundation models for pathology in collaboration with Mayo Clinic. The oversubscribed funding round was led by ATHOS, with investments from Mayo Clinic and growth financing from HTGF, alongside support from existing investors Wellington Partners, Boehringer Ingelheim Venture Fund, CARMA Fund, and VC Fonds Technologie managed by IBB Ventures. In total, Aignostics has now raised over $55 million, reflecting investors’ confidence in its differentiated AI models and clear commercial strategy.

Aignostics

Founding team of Aignostics

As precision medicine becomes more nuanced and complex, biopharmaceutical companies are increasingly turning to AI to enhance the utility, performance, and scalability of computational pathology analyses for drug development and diagnostics. In parallel, machine learning technologies are rapidly evolving, producing AI models with record accuracy and robustness, opening new avenues for biopharmaceutical research and diagnostics.

“At its core, Aignostics is a world-class machine learning company,” said Julian Zachmann from ATHOS. “The field is advancing so quickly that, in order to succeed, AI companies need to avoid flashy distractions, stay laser focused on the highest-quality science, and relentlessly innovate. Aignostics is doing just that and bringing a level of transparency and rigor to its biopharmaceutical clients that we think is truly unique.”

“We know that digital pathology, paired with the vast capabilities of AI, has immense potential to impact diagnosis and treatment for patients. Mayo Clinic is actively charting the new frontier of predictive and personalized care,” shared Jim Rogers, CEO of Mayo Clinic Digital Pathology.

The new funding will strengthen Aignostics’ offerings for target ID, translational research, and companion diagnostics (CDx), and support several strategic initiatives, including:

  • Launch of scaled “plug-and-play” products for a range of indications and tasks, including tumor microenvironment and biomarker profiling.
  • Continued expansion into the US with additional headcount and support for US partners.
  • Collaborative development of foundation models and biopharma product offerings with Mayo Clinic.

“2024 has been a pivotal year for us that has included a major strategic collaboration with Bayer and the launch of our first foundation model, RudolfV,” said Viktor Matyas, CEO and Co-Founder of Aignostics. “With RudolfV, we’ve gained the ability to quickly develop cost-efficient algorithms that generalize to the real-world. Now with this new round of funding, we’re turning our most popular algorithms into products that will help usher in an era of truly generalizable AI for computational pathology.”

Niels Sharman, Senior Investment Manager at HTGF, said: “We have been thoroughly impressed by Aignostics’ progress and their cutting-edge AI platform, which we believe will have a transformative impact on Pharma R&D. It is a pleasure working with such a talented team, and we are excited to significantly increase our investment to support their continued growth. We look forward to being part of their ongoing journey toward success.”

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Topic world Diagnostics

Topic world Diagnostics

Diagnostics is at the heart of modern medicine and forms a crucial interface between research and patient care in the biotech and pharmaceutical industries. It not only enables early detection and monitoring of disease, but also plays a central role in individualized medicine by enabling targeted therapies based on an individual's genetic and molecular signature.