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Circleback helps teams get the most out of every conversation with best-in-class AI-powered meeting notes, action items, automations, and search. For example, Circleback can automatically identify feature requests that come up in product demo calls and create Linear tasks for each of them, or update your CRM with customer details after a sales call. Before Circleback, Ali led the first integration of LLMs into the Stripe support product and Kevin worked on predictive analytics at Tableau as a senior software engineer.

Reticular helps pharma companies discover drugs with AI models like AlphaFold by making them steerable, just like you can prompt LLMs. Today, limited validation data means companies spend millions on failed experiments trying to steer these models through trial and error. We’re piloting our AI interpretability technology with early-stage biotechs and scaling rapidly. Just a week after our pivot, we identified the first interpretable features ever found in protein models, allowing precise control over biological functions. Nithin and John met competing in Biology Olympiads before spending 4 years as roommates at MIT publishing ML/bio research in NeurIPS and Nature. We believe biological models encode far more information than anyone is currently using - our goal is to unlock this potential.