Intelligine architects scope, build, and deploy the customer private artificial intelligence solution on Intelligine infrastructure, with a working minimum viable product within 72 hours and a production deployment inside the customer cloud within 30 calendar days.
Architects run a discovery workshop with the customer team and ship a working prototype inside the customer technology stack that is wired to real customer data within 72 hours.
Customer data audit, governance review, agreed success metrics, and confirmed deployment target inside the customer environment.
Foundation training and domain fine-tuning of the customer private model, with red-team adversarial testing and evaluation loops against the customer evaluation suite.
Production deployment inside the customer virtual private cloud or on-premises data center, with operating runbooks, monitoring instrumentation, and formal handover to the customer operations team.
A foundation model trained from scratch on customer proprietary data, with no repurposed weights and no shared training infrastructure between Intelligine customers.
Full customer access to trained model weights, with no recurring application programming interface dependency back to Intelligine and no recurring subscription fee tied to inference volume.
Deployment inside the customer virtual private cloud, customer private cloud, customer on-premises data center, or customer air-gapped environment, aligned to the customer compliance stack.
A discovery call with an Intelligine architect produces a documented project scope and an agreed kick-off date within the same calendar week.