unrealistsAI & LLM proof of concept consulting
A good AI or machine learning proof of concept answers one business question—not “can we use ChatGPT for everything?” We design short, measurable LLM and ML pilots for document understanding, metadata extraction, retrieval-augmented generation (RAG), and agent-style workflows, then help you decide what to productionize.
PoCs we run often
Generative AI proof of concept projects for auditing and compliance (requirement assessment, metadata extraction), large-scale document discovery with OCR and clustering, internal copilots over proprietary data, and supply-chain or operations document automation—with guardrails and human review where needed.
How we keep it honest
We agree on data samples, evaluation criteria, cost ceilings, and privacy boundaries up front. You get working software or pipelines, not a demo that only works on Tuesday. When the answer is “not yet,” we say so and suggest simpler alternatives to a full AI rollout.
After the PoC
Successful AI pilots feed into hardening: observability, access control, model update processes, and integration with your stack. Our process often starts with a workshop, then an LLM PoC phase, then a longer implementation engagement.