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AI & Machine Learning

Practical AI that fits your product—not hype for its own sake.

What we do

We integrate LLMs, retrieval, and classical ML where they improve outcomes: search, drafting, classification, forecasting, and anomaly detection—always with evaluation, safety, and cost controls.

Our approach

  • Start from measurable outcomes and datasets
  • Prototype with offline evaluation before production
  • Ship with monitoring, feedback loops, and human review where needed

Technologies

OpenAI / Anthropic APIsEmbeddings & vector storesPython ML stackEvaluation & tracingPrivacy-preserving patterns

Good fit if

  • Products that need smarter search or recommendations
  • Support and operations teams needing grounded assistants
  • Teams experimenting with AI without betting the company on one vendor

FAQ

Usually not. We leverage foundation models and fine-tuning when data and ROI justify it.

Similar work?

Tell us what you need—we'll propose a clear plan.