Two years after Terray Therapeutics inked a multi-target deal with Bristol Myers Squibb to develop small molecules using its AI technology, the biotech said Wednesday it has achieved a discovery milestone.While Terray can't share too many details about the programme, CEO Jacob Berlin told FirstWord the milestone adds to the company's confidence that its AI platform, dubbed Experimentation Meets Machine Intelligence (EMMI), can deliver across a broad set of target classes and indications. "This milestone highlights one of the key advantages of EMMI — the ability to discover and optimise molecules against difficult and novel targets where there is often little to no previous chemistry knowledge," Berlin said.Reaching the right molecule, fasterThe news follows Terray's unveiling of EMMI in November. The platform combines ultra-miniaturised hardware for molecule testing together with a highly-automated lab and a full-stack AI.Its chemistry foundation model, COATI, now in its third generation, is like "GPT for molecules," according to Terray. By encoding molecules in mathematical latent space, they can be manipulated and investigated by AI models, and "translated" back into molecules when needed. Terray, which raised $120 million in funding last year from investors including NVIDIA and Madrona Ventures, has collected over 13 billion target-molecule measurements into what it calls "the world’s largest precise chemistry dataset" — and it continues to grow at 1 billion measurements per quarter (see – Spotlight On: 'A year of balance' — Realistic expectations for AI in 2025). "EMMI shines by mining this database to find starting points for difficult targets where other approaches have struggled or failed," he noted. The most promising molecules are then optimised with Terray's generative, predictive and selection AI models and evaluated with its experimental workflows for at-scale testing. With EMMI to aid in molecule selection, Terray's benchmarking tests suggest its platform arrived at the best molecule three times faster than other AI technologies, with a similar cost reduction rate. "It is very common to have AI predictions on thousands to millions of molecules, but it is only possible to make and test tens of these in a given week. Picking the right set of molecules has for too long relied on human intuition or basic models that are biased towards the most highly ranked molecules but do not consider how uncertain the ranking is," Berlin explained. "Terray is a pioneer in developing a model that can quantify the uncertainty in the predictions of other models and then optimally select the right set of molecules to test." Series of partnershipsIn addition to its tie-up with BMS, Terray has a discovery deal with Gilead Sciences, similarly focused on "undruggable" targets. The biotech is also working with Google-founded Calico on age-related diseases, and has a collaboration with Odyssey Therapeutics to co-develop compounds against transcription factors for immunology and inflammatory diseases.Internally, Terray is developing an immunology pipeline, though its drug development work is remaining under wraps until "the science is ready," Berlin said. He noted that "EMMI is used across Terray's entire pipeline and has identified and optimised novel chemical scaffolds time and time again."