AI engineering, built around your workflow.
AI agents, retrieval systems, custom applications, and workflow automation. Start with the business problem and choose the technology to fit.
01
LLM Agents & Voice AI
Systems where a language model does not just answer, it decides what to do next, calls tools, and hands off to a human when it should. Includes agents that talk over the phone.
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02
Full Stack AI Products
The whole product, not just the model call: the interface people use, the API behind it, the database under that, and the deploy that keeps it running.
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03
RAG & Retrieval Systems
Retrieval-augmented generation: giving a language model your documents so it answers from them, with a citation, instead of guessing.
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04
Workflow Automation
Connecting the tools a team already uses so the repetitive work between them stops being someone's job.
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Unsure what is worth building?
Assess feasibility, data readiness, architecture, and build versus buy. Sometimes the right first step is simplifying the process.
Request an AI consultationA clear working relationship.
Work directly with me. Agree on responsibilities, access, evaluation, and handover before implementation. Independent services are separate from employment.
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