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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.

Yoneda Labs provides software to help chemists optimise reactions. When chemists make a drug or a material, we help them figure out the best reaction parameters such as temperature, concentration and catalyst. When Jan was working at chemical labs, he experienced the struggle of spending weeks guessing reaction conditions. We then started experimenting with ML to speed up the process. Now, as a team of three friends from the University of Cambridge, we’ve spent the last month combining our domain expertise in Computer Science, Machine Learning and Chemistry to develop state of the art models for reaction optimisation. Although ML is becoming well established in other fields, current chemical models generalise poorly and require lots of programming experience. We make our models easily accessible to chemists in the lab. Finding the right conditions quickly allows pharmaceutical companies to test more drugs, and finding better optima makes manufacturing process cheaper and more environmentally friendly.