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Our Mission: We aim to accelerate and automate chemical process development by equipping wet-lab chemists with the power of data-driven optimization and robotic execution of experiments. The Problem: The discovery of novel pharmaceuticals is one of our most important weapons in fighting disease. However, the drug development pipeline is often held up for many months during the design of chemical processes to manufacture these drugs at scale, delaying FDA trials and lengthening the time until drug launch. Designing chemical processes involves the identification of suitable parameters such as catalyst/temperature/solvent. Currently process development is often done via tedious trial-and-error experimentation (slow) or exhaustive screening (expensive and wasteful). Our Approach: In our research, we have developed algorithms for chemical process optimization, which leverage transfer learning and Bayesian optimization. We validated the algorithms in the wet lab, showing an up to 95% reduction in required experiments and cost compared to exhaustive screening. We have made our approaches accessible to chemists through our user-friendly no-code software platform and to automated laboratory equipment with our API.

We are helping B2B companies reach the right leads with an AI sales agent custom trained on their knowledge. The goal is to reproduce the behavior of a sales top performers: - They know the product, the industry, the pain points, and the company's value proposition perfectly (trained on datas from your knowledge base, calls transcript, CRM...). - They will find the right leads, ready to buy, based on buying signals in the industry-specific channels (Linkedin, G2, Github...) or on the company's website visitors. That's exactly what the agent can do! Think of it as an expert SDR in your industry, ramp up in minutes.