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AI Development

Practical AI: a support assistant grounded in your own documents, an extraction pipeline that reads invoices, a recommendation model that lifts a real number. We measure it before and after, and we tell you when a rule beats a model.

What you get

Retrieval assistants grounded in your own content
Document and image extraction pipelines
Model evaluation, guardrails and cost controls
Integration with the tools your team already uses

Typical stack

PythonOpenAIAnthropicLangChainpgvectorPyTorch

Engagement

A two-week paid pilot with a measurable target, then a build if the numbers hold.