tessel Information

tessel is decision infrastructure for high-stakes ML. We bring clarity to the hard calls in building and shipping a model. Your team can produce and test models faster than ever: agents write the code, run the experiments and report the numbers. But more results don't make the decision clearer. Is the new model really better, or just better at your tests? Will it hold up at the next hospital, on a new production line, in front of new users? Of all the checks you could run, which would change your mind? tessel finds out. It runs where your team already works, inside its coding agents and notebooks, and turns each decision into the few questions that could change it. Then it answers them on your own model and data: controlled experiments that separate real gains from noise, interpretability that surfaces signals your metrics miss, and simulation of how the model will hold up where it's going next. Your team makes the call, with the evidence in front of it. When every team can build fast, what sets you apart is how well you make decisions, and how quickly you learn from your failures. That's what tessel is for: models you can trust before they ship, and judgment that compounds instead of starting from zero. We work with teams in diagnostic healthcare, biotech, manufacturing and enterprise AI: anywhere decisions are too costly to get wrong and too valuable not to learn from. We turn those decisions from educated guesses into a science.