Assistants, document processing, data extraction and agents, built into your product by Claude-certified engineers who measure quality and keep running costs predictable.
A chat or command interface on top of your own records: customers, orders, documents, finances. Our finance app Grosz has an assistant that answers questions about the user's own accounts and spending. The same pattern works for support teams, sales and internal tools.
Invoices, receipts, contracts, forms and emails turned into structured data your system can use. Outputs are validated against a schema, so downstream code never has to guess. Grosz reads receipt photos and bank alert messages this way.
Claude with tool use can look things up, call your APIs and take multi-step actions, with clear limits on what it may do and a human approval step wherever it matters.
Answers grounded in your knowledge base, documentation or product catalogue, with citations back to the source.
Most clients start with a two- to four-week pilot on one well-defined task. You get a working feature, measured quality on your own data and a clear cost per request, and then decide whether to roll it out.
Claude is strong at following detailed instructions, working with long documents and using tools, which are the things most business AI features need. It is available through the Anthropic API and Amazon Bedrock, so it fits into AWS environments with existing security and billing.
Not by default with the commercial Anthropic API or Amazon Bedrock. We design the integration so only the data a feature needs is sent, and can keep everything inside your AWS account via Bedrock.
With structured outputs validated against a schema, evaluation sets built from real examples, logging of every request, and fallbacks when the model is unsure. We measure quality before and after every change.
Tell us what you're building. An engineer replies, usually within one business day.