Most generative AI consulting stops at a slide deck. We take you from strategy to a shipped, production-grade system — and tell you honestly where generative AI earns its keep and where it doesn't.
Find the workflows where LLMs create measurable ROI — and rule out the ones that don't.
A working prototype built in two-week sprints, so you validate value before scaling.
Private LLMs, audit trails, and human-in-the-loop — built for regulated work.
We map your operations against what generative AI can realistically do today, prioritize by ROI and feasibility, and hand you a sequenced roadmap — not a wish list. Solve problems with AI →
We build the system, not just the plan — RAG pipelines, AI agents, and custom applications on a modern, maintainable stack. See AI agents →
For finance, healthcare, and other regulated work, we deploy generative AI on your infrastructure or VPC — with zero data egress, policy enforcement, and complete audit trails. See Private LLM →
We start with a short discovery to map where generative AI creates real value — and where it does not. From there we scope a proof of concept, build it, and move the winners into production. You get a roadmap and a working system, not just recommendations.
Both. ParagonID is a studio — the same team that scopes strategy writes the code and ships it. Most generative AI consultants hand off a deck; we hand off a deployed system with an audit trail.
For regulated industries we deploy private LLMs on your infrastructure or VPC, with zero data egress, policy enforcement, and full audit trails. Nothing sensitive leaves your environment.
We work in two-week sprints, so you see working software early and can validate ROI before committing to a full production build. We agree the schedule with you before work starts.
Document-heavy and decision-heavy workflows — contract and filing analysis, research synthesis, drafting and review, and internal knowledge assistants. We prioritize use cases with clear, measurable time or cost savings.