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Pythagora is the world's first all-in-one AI development platform, which can help you get from idea to production-ready app by talking to users. It uses LLMs to automate developer workflows (debugging, refactoring, etc.) and ask user questions whenever it needs feedback. It is an IDE extension built on top of our open-source tool, GPT Pilot, which has over 32k Github stars. You start with an idea and a simple prompt. In minutes, Pythagora builds you the full app specifications. Once the specs are done, it starts building the frontend. After your app's UI is polished, you can build the backend. It iterates with you by changing the code and asking you for feedback until the app is finished. When done, you can securely deploy and share your app.

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.