Key Takeaways RXRX is advancing fibrosis, oncology, and neuroscience treatments via major pharma collaborations. Deals with Bayer, Roche, Sanofi, and Merck offer multi-billion milestone and royalty opportunities. BioHive-2 upgrade, Exscientia buyout, and tech alliances boost RXRX's AI capabilities and pipeline.Recursion Pharmaceuticals (RXRX) is strategically leveraging its AI-powered drug discovery platform through multiple high-value collaborations, positioning itself for long-term growth and sustainabi ...

Key Takeaways RXRX dropped REC-994, REC-2282 and REC-3964 due to poor mid-stage study results and low efficacy. The company is now focused on REC-4881, which showed a 43% polyp reduction in early phase II data. RXRX is advancing REC-1245, REC-617, and REC-3565 as it refines its AI-driven drug development pipeline.Recursion Pharmaceuticals (RXRX) faced a massive setback in May 2025 after announcing the discontinuation of three key drug candidates — REC-994, REC-2282 and REC-3964 — due to disappointing resu ...

Core Insights - Recursion Pharmaceuticals (RXRX) is transforming drug discovery by utilizing artificial intelligence (AI) through its RecursionOS platform, developed with NVIDIA, to simulate compound interactions with human biology, aiming for more efficient and cost-effective drug development [1][8] - The AI platform has significant commercial potential, evidenced by partnerships with major pharmaceutical companies like Bayer and Roche, which provide recurring revenue through technology licensing [2][8] - RXRX faces competitive pressures from companies like Relay Therapeutics (RLAY) and Schrödinger (SDGR), which are also leveraging advanced technologies in drug discovery [3][4][5] Company Performance - Year-to-date, RXRX shares have decreased by 24.1%, underperforming the industry decline of 3.4% and the S&P 500 [6][7] - The company's stock is trading at a price/book value ratio of 2.23, lower than the industry average of 3.05 and significantly below its five-year mean of 3.63 [9] Financial Estimates - Loss estimates for 2025 remain constant at $1.34 per share, while 2026 estimates have improved from $1.20 to $1.08 [13] - Recent trends show a positive revision in estimates, with a 10% increase for 2026 [14]

Core Insights - The article discusses the launch of Boltz-2, an open-source biomolecular foundation model developed by MIT and Recursion, which significantly improves the accuracy and speed of predicting molecular binding affinities and structures [1][2][5]. Company and Industry Overview - Boltz-2 is a pioneering model that combines structure and binding affinity prediction, achieving near-physics-based accuracy while being over 1,000 times faster than traditional methods [5][6]. - The model is designed to enhance drug discovery processes by allowing researchers to select promising molecules more effectively, thereby improving the success rates of R&D programs [3][4]. - The open-source nature of Boltz-2, including its training code, enables scientists to customize the model for specific molecules, facilitating broader applications in both academic and commercial settings [2][4]. - Recursion, the TechBio company behind Boltz-2, utilizes advanced machine learning algorithms and operates one of the world's most powerful supercomputers, BioHive-2, to support its mission of decoding biology for improved healthcare outcomes [7][8]. - The development of Boltz-2 involved collaboration between MIT's academic expertise and Recursion's AI capabilities, highlighting the importance of partnerships in advancing biotechnological innovations [3][5].

Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bi ...