Reticular

Output Biosciences is pioneering Biologically-Aware Generative AI to finally understand complex biological systems. Our new generative AI architecture can handle the extremely long, nonlinear, fragmented, and high dimensional data of biological systems. We are building Large Biological Models that can generate breakthrough medicines and transform the way we diagnose, treat and prevent disease.

shared extracted concept terms: biological, model; shared product terms: complex, biological, long, model; same category: AI infrastructure; shared affiliation: Y Combinator

b12 makes high-value molecules that are otherwise hard to make. We help pharma companies plan and make new drugs, accelerating early-stage drug discovery from years to months. Andres built the first AI agent that can autonomously think and make molecules in a robotic lab, published in Nature Machine Intelligence (1000+ citations), and won the best paper award at the NeurIPS AI for Science conference. Zlatko is a 3x National Chemistry Olympiad champion, competed at IChO level, and medicinal chemi

shared product terms: plan, year, publish, nature; shared affiliation: Y Combinator

UrbanKisaan is an AI-for-plant-biology company. We build foundation models and the physical infrastructure that trains them. Shipping a single new seed variety takes about ten+ years. Two on germplasm, three on crosses and selection, three or four on field trials, one on regulatory. Inside that decade, prediction and experiment never properly meet. DNA is abundant, phenotype data is scarce and unpaired, and the cycle never trains itself. We closed that loop. Three foundation models cover the ups

shared extracted concept terms: model; shared product terms: prediction, selection, biology, year; same category: AI infrastructure; shared affiliation: Y Combinator

At InVision, we use AI to help streamline the interpretation of ultrasounds and identify diseases that may have been missed by human readers. Our models have been tightly integrated into the clinical workflow to allow easy usage by clinicians. Our work has previously been peer-reviewed and published in several top medical venues, including Nature (2020), Nature Medicine (2021), Lancet Digital Health (2021), JAMA Cardiology (2022). Results from our blinded and randomized clinical trial on evaluat

shared extracted concept terms: model; shared product terms: disease, model, publish, nature; same category: AI infrastructure; shared affiliation: Y Combinator

The pandemic reduced office use nationwide by 50%, and tenants have been left to deal with highly inflexible, long term lease agreements that don’t fit today’s office use patterns. The traditional brokerage model works great for big spaces and long terms. But when you want to talk smaller units, short term lengths, shared and common areas, you’re out of luck. Tandem is an AI-native office leasing platform. We’re using technology to unlock an easier leasing process. Our AI co-pilot provides a whi

shared product terms: today, unlock, long, term; same category: AI infrastructure; shared affiliation: Y Combinator

Anto is building a foundation model for microbial communities, making the gut microbiome computable for the first time. We predict drug toxicity and efficacy across diverse populations and fix drugs so they work for everyone — solving the hidden root cause of most drug failures. Founded by Arvid (Broad Institute of MIT and Harvard; Nature-published researcher who pioneered quality-aware, goal-directed sparsification) and David (Harvard Medical School Gastroenterology, J&J), second-time founders

shared product terms: model, mit, nature, publish; same category: AI infrastructure; shared affiliation: Y Combinator