Banks, hospital systems, and utilities want the same AI capability everyone else is getting, but they can't send patient records, account data, or operational data to a cloud API, and their security review process has no established playbook for approving an AI deployment that stays entirely inside their own network. That gap between wanting the capability and being able to pass a security review is where deployments actually stall today.
This product is the deployment and accreditation layer that closes that gap for one regulated vertical at a time: an on-prem retrieval and inference stack that runs inside the customer's network, packaged together with the specific accreditation documentation and audit trail their security team needs to approve it once. The product isn't trying to out-build the model itself, it's selling the ability to get an already-capable open-weight model through a bank or hospital's own compliance process.
The wedge is going deep on one regulated vertical, starting with regional banks or mid-size hospital systems rather than defense, where procurement cycles are different and the compliance playbook is distinct. Prove the full deployment-to-accreditation cycle with one customer in that vertical, then turn it into a repeatable template for the next one in the same vertical, rather than trying to serve every regulated industry from day one.