Companies

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We are making a new fertility treatment that infertile couples can order with a click of a button to help them conceive at home. Our technology increases the likelihood of pregnancy by guiding significantly higher number of sperms towards the ovum using a proprietary combination of surface features and microenvironment optimization. The fertility treatments available today, such as in-vitro fertilization (IVF) and intra-uterine insemination (IUI), are psychologically and financially draining and come with considerable treatment-associated risks. Furthermore, over 25 million women of reproductive age in the US have limited nearby access to fertility treatment.

zPREDICTA is developing organ-specific, physiologically-relevant 3D cell culture models providing a 1-to-1 reconstruction of human tissues. This is the only available 3D culture approach that comprehensively accounts for the major components of the cellular and extracellular tissue microenvironment preserving the critical interactions between a tumor and its surroundings. Clinical study data demonstrate the high correlation between drug efficacy measured in our platform and the clinical response. The ability of the zPREDICTA platform to reliably predict clinical outcomes offers superior compound attrition management, empowering researchers to exclude ineffective compounds while selecting agents with a high probability of success in the clinic. Our approach is compatible with any drug class, multiple tissue/cell types and a wide variety of readouts. Our customers are using these models for efficacy screening of anticancer compounds, including immuno-oncology agents, evaluation of mechanisms of drug resistance, the rescue of failed drug candidates, assessment of off-target toxicity, and a multitude other applications.

Angstrom AI builds GenAI-based molecular simulations to substitute wet lab experiments in the pre-clinical drug development pipeline. We are a team of 2 PhD's and 2 Professors from the University of Cambridge who decided to start a company together after we realised how to combine breakthoughs in our research in quantum-accurate models of physics and generative AI models. Our Biotech/Pharma clients can verify the efficacy and safety of new drug candidates using our computer simulations, which match the accuracy of wet lab experiments, but are over 100x faster. We achieve this accuracy by constraining our genAI-based simulations to obey the laws of physics, avoiding the hallucinations seen in other GenAI technologies. Since joining YC, Angstrom AI has developed the first physically accurate gen-AI based simulation of multiple molecules interacting. We have published the first molecule water solubility results with accuracy within the error range of wet lab experiments. We have also kicked-off a 150K pilot project with a pharma company to apply our tech to estimating solubility in their drug development pipeline.
