Match the customer boundary
Define where sensitive work may run before connecting the workflow.
For healthcare technology companies
Serve care providers without running the GPU fleet.
Build private AI into your product while keeping sensitive work inside the environment your customer approves.
Focus on the product your customers buy.
Evaluate managed private AI while TEKIZ.AI handles hardware sourcing, model serving, and GPU operations.
Keep your application stable
Change the approved model or capacity behind one connection as your product evolves.
Give reviewers evidence
Show which approved path handled the work and when a request stopped for review.
Start with one customer workflow.
Choose a bounded use
Begin with a workflow your product, privacy, and security teams can evaluate together.
Define the environment
Document the provider, location, and data-handling boundaries the customer requires.
Review managed capacity
TEKIZ.AI confirms model availability, deployment fit, included usage, and price before pilot activation.
Expand with evidence
Review the route record, output quality, and your own safeguards before adding more sensitive work.
Important: TEKIZ.AI is not a HIPAA certification and does not make a workflow compliant by itself. Your organization and customer remain responsible for data, agreements, assessments, safeguards, and use decisions.