The full answer
Creuto accesses Claude through its API and keeps the integration behind a model abstraction, so Claude can power some features while other models handle others, and the choice can change later without rewriting the application.
Typical uses include assistants that answer from company documents, long-document review and summarisation, agents that call tools across your systems, and extraction of structured data from contracts, invoices or support tickets. Which model does which job is decided by evaluation, not by default.
Creuto's process is the same for every provider: build an evaluation set from your real cases, compare candidate models on accuracy, consistency, latency and cost per request, and share the results with you before recommending one.
Data handling is agreed up front. Only the data a task needs is sent to the model, sensitive fields are masked where possible, requests are logged with retention you control, and client data is never used to train models.
If you already use Claude internally and want it embedded in a product or workflow, Creuto can scope that in a discovery call.