Superluminal Medicines Raises $60 Million for Obesity Drug Trial
Superluminal Medicines has closed an oversubscribed $60 million Series B financing, the company announced in a press release. The round was led by BVF Partners, with participation from Deep Track Capital, Perceptive Advisors and existing investors including RA Capital Management, Insight Partners, NVIDIA and Eli Lilly and Company.
The funding will support a Phase 1 clinical trial by the end of 2026 for Superluminal's lead program, a selective MC4R agonist for rare genetic forms of obesity and hypothalamic obesity. The company said the drug selectively activates signaling pathways associated with therapeutic effects while limiting side effects.
Superluminal will also use the capital to advance other programs and expand its GPCR discovery platform for endocrine and cardiometabolic diseases. The platform combines structural biology, cryo electron microscopy, small molecule design, predictive toxicity models, machine learning and GPCR biophysics.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Life AI Weekly, AI Funding Brief or Daily AI Brief.
Also, consider following us on social media:
More from Life Sciences
Oct 6 XtalPi Launches Kodexia siRNA Discovery Platform Oct 6 ARUP Selected for Redtail Clinical AI Project Oct 6 Cambridge Heartwear Wins £184 Million NHS Tender for ECG Wearable Oct 6 Vuzix and Shiny Box Develop Military Medical Training for Ultralite Pro Oct 6 AI Model Combines EKG and Blood Tests to Assess Heart Transplant RejectionMore from Funding
Oct 7 Valon Raises $150 Million at $2.3 Billion Valuation Oct 7 Lambda Seeks $4 Billion at $14.5 Billion Valuation Oct 7 Melius Raises $25 Million for AI Ad Creation Platform Oct 6 Aventra Raises $17.5 Million to Scale Piranha Production Oct 6 Avarra raises $17 million for AI sales avatar platformLife AI Weekly
Weekly coverage of AI applications in healthcare, drug development, biotechnology research, and genomics breakthroughs.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Luminary Platforms Raises $22 Million for Wealth Transfer Platform
LUNGevity Awards $2 Million for Lung Nodule Risk Studies
Enveda Raises $311 Million for AI Drug Discovery
FDA Clears Nutshell Therapeutics' NRF2 Degrader NTS231
NAVER D2SF Backs ImpriMed in $10 Million Bridge Round
Daily AI Brief: the AI news that matters, in your inbox.