USE CASES

From signal to decision

Hospitals, factories, grids, and trading floors run on time series data, yet the AI stack that transformed text and images cannot read it. Serializing signals into text tokens explodes the context window and strips away temporal structure; rendering them as plots throws away resolution and forces the model to reason about pixels instead of dynamics. Either way, the model never actually touches the data, and the decisions that depend on it keep waiting on manual review.

Our models inspect signals the way domain experts do: scanning broadly, then zooming into the regions that matter for the question at hand. That is what makes the use cases below possible: asking a fleet’s telemetry why a machine is degrading, a patient’s vitals whether to intervene, a grid’s alarms which ones matter, and getting an answer in natural language, fast enough to act on.