Thalamus filters, structures and routes raw clinical data into exactly the context each agent needs to reason well: no more, no less, and every point traceable back to its source.
Patient data arrives from EHRs, lab reports, imaging, clinical PDFs, wearables, doctor notes and agent conversations — fragmented across sources, duplicated across visits, and accumulating over years. Most teams hand all of it to the agent and hope it finds what matters.
Named for the brain's own relay station — the structure that filters and routes signal to the right destination. Thalamus does the same for clinical data.
Every document a patient generates, kept in full. Nothing is discarded at this layer.
Every document broken into discrete, tagged clinical facts — each one linked back to its source document, timestamp and provenance.
Active vs. resolved conditions, current medications, disease control, longitudinal trends — inferred from the atomic layer and kept current as new data arrives.
Compiles the right context for each agent, matches patient state against clinical guidelines, and surfaces care gaps before an agent starts reasoning.
Thalamus sits as infrastructure between raw healthcare data and whatever's reasoning over it.
Teams building narrow-task agents and AI scribes that need a precise, task-scoped slice of context rather than a full chart dump.
Platforms that need a live, continuously updated view of patient state to flag risks, gaps and follow-ups as new data lands.
Products spanning many care journeys that need one consistent, explainable patient state underneath every agent they ship.
Every atomic data point links back to its original document, timestamp and source. Every computed patient state traces back to the atomic points that produced it.
Tell us what you're building and what your agents are struggling to reason over.