The client's engineering teams needed generative AI capability, but chip design, process, and domain knowledge could not be sent to frontier AI providers. Reliance on a single external model also left the client with no way to choose models, control cost, or keep spend predictable across departments. 

Solution 

• Models hosted directly within the client's own data center and cloud accounts 
• A curated model garden let teams choose and switch models at runtime 
• Smart routing matched each request to the model best suited for cost or quality 
• Budget controls capped AI spend by department and by user 

The solution gave the client's engineering teams generative AI capability without exposing proprietary data, model choice without vendor lock-in, and predictable AI spend.