unrealistsLLM adoption & AI integration
We help teams move from AI experiments to reliable products—with clear scope, safety boundaries, and measurable business value.
Use cases we know
Document-heavy workflows, internal knowledge assistants, metadata extraction, ESG and compliance reporting support, customer-facing copilots, and integrations with your existing stack—including MCP and agent-style tooling where it fits.
How we work
We start with a focused proof of concept, validate data quality and evaluation criteria, then harden for production: observability, cost control, access policies, and human-in-the-loop where required. Explore recent projects for examples in auditing and data platforms.
Beyond hype
Our background spans machine learning, NLP, and large-scale data systems—not slide decks. We advise on what not to automate and when simpler approaches beat a general-purpose model.