We design, build, and harden LLM workflows that your legal, compliance, and engineering teams can actually trust in production — with measurable accuracy, traceability, and cost control.
Four engagements, each scoped to deliver a concrete outcome within weeks — not quarters.
Hand-tuned prompts with regression eval suites so you know, quantitatively, that a change is an improvement. Built on Claude, GPT, and open-source models.
Multi-step agents with tool use, retrieval, and human-in-the-loop controls — shipped as APIs your team can integrate, not demos that die on slide two.
Retrieval pipelines over your internal documents with citation, access controls, and quality metrics suitable for regulated environments.
Review of an existing AI feature: prompt hygiene, failure modes, latency, and a concrete plan to cut inference costs by 30-70% without losing quality.
We work like a product team, not a consultancy. Every deliverable includes the scaffolding that lets your team maintain it after we leave.
Versioned test sets, automated scoring, and regression alerts so model swaps never become guesswork.
Structured logging of every prompt, tool call, and token — ready for audit and debugging.
Input validation, PII handling, output filtering, and refusal policies tuned to your risk posture.
Written runbooks, architecture diagrams, and onboarding docs written for the engineer who inherits the system.
Token budgets, model routing, and caching strategies so production spend stays predictable.
Code review sessions and a 30-day support window after launch. No lock-in.
Short, honest engagements. We turn down projects that don't have a clear success metric.
A working session to define the outcome, the evaluation criteria, and the integration surface. You leave with a written scope, a fixed fee, and a go/no-go recommendation.
A working prototype evaluated against a real dataset you provide. Go/no-go gate before we write production code.
Harden the prototype: monitoring, guardrails, tests, documentation, CI. Integrate into your stack with your engineers.
Staged rollout, on-call support for 30 days, knowledge transfer sessions with your team. Then you own it.
Fluid Motion AI is a Pennsylvania C-Corp founded by Romain Alleger, a software engineer with 15+ years of experience building and shipping IT systems — including a decade running his own European consultancy.
The practice is intentionally small. Every engagement is led by a senior engineer who writes the code, runs the evals, and sits in the retros. No offshore handoff, no layer of account managers.
We work best with teams that have a real AI problem — not a buzzword initiative — and want someone to ship the thing.
Short intro email, 30-minute scoping call, written scope within 48 hours.
We hide our inbox behind a short 3D challenge to keep scrapers and AI agents out.