Current AI doesn't solve this — it aggregates and extracts. The data leaves, the model is owned elsewhere, and the institution is a perpetual subscriber to intelligence it generated.
What your most experienced clinician knows cannot be purchased from a cloud vendor. It was built here. It should stay here.
"The institution's knowledge is the asset. The institution's infrastructure is the platform. The institution's compliance framework is the boundary. We provide the methodology. The institution owns what gets built."
Founding Principleuntil you do.
No upfront cost. No hardware charges. No outside data exposure.
Thalamic's fee is a methodology royalty — a percentage of licensing income generated by the specialist model, declining over five years as the institution's internal capability compounds.
The institution provides the domain expert, the training data, and the infrastructure it already owns. We provide the technical process to build, train, and deploy the specialist. The institution licenses access to the resulting model on its own terms, at its own price, to its own licensees.
We earn nothing until the institution earns something.
No one owns the network.
The Thalamic Protocol is released publicly at launch — Apache 2.0, no proprietary lock-in. Anyone can build on it. Every institution that builds on it adds nodes to the mesh.
More nodes means more cross-domain synthesis capability for every participant in the network.
A specialist LLM trained on a retiring expert's outcomes data isn't an AI product. It's an institutional succession plan. The knowledge that took thirty years to build doesn't retire. It stays. It teaches. It compounds.
A mid-sized academic medical center eliminates between $1.35M and $2.85M in annual third-party AI vendor spend when it owns its intelligence layer. The CFO conversation and the CMO conversation are the same conversation.
