A consultancy needs somewhere to ship. We built our own.
Most strategy decks die in Google Drive. We built McLeuker AI so the recommendations a McLeuker engagement produces have a workspace to live in — a place where your team operates the strategy every day, not a place where they re-read it.
The platform is owned, built, and operated by the consultancy. The consulting depth is what makes the platform defensible. The platform is what makes the consulting compound.
And because we know how to build an agentic platform end-to-end — LLM strategy, frontend, backend, database architecture — clients can also hire us to build their own. Same partner team, same blueprint, deployed inside your stack.
One workspace, four operational surfaces, one copilot threading them together.
Unified Copilot
A single conversational surface that routes to the right agents and tools — sourcing, eco-design, market entry, compliance, claims. ⌘K from anywhere in the workspace.
Sustainability Workspace
Per-garment impact, swap candidates, claim evidence, and DPP records — refreshable on every BOM change, exportable to your audit partner.
Market Entry Workspace
Eight-section playbook generated by an orchestrated multi-agent workflow. Competitor radar, channel matrix, pricing model, regulatory map.
Compliance Workspace
Live monitoring of CSRD, ESPR, AGEC, Green Claims, EUDR. Evidence vault, claims guardrail, disclosure assembly.
The four commitments that distinguish McLeuker AI.
Built for fashion, not adapted to it.
Twenty-two agents tuned to the data, the vocabulary, and the regulatory cadence of the fashion industry.
Deployed by the consultancy, not bought off a shelf.
We do not sell self-serve seats. The platform ships into your business as the deliverable of a consulting engagement.
Evidence-anchored by default.
Every claim, every score, every DPP field is linked to its source record — auditor-ready provenance from day one.
Brand-scoped and governed.
Row-Level Security per brand. EU Frankfurt hosting. Dedicated instance available. DPA signed before the diagnostic begins.
LLM-native. Multi-agent. Built for fashion from the database up.
Generic AI products bolt a chatbot onto a CRM. McLeuker AI is an agentic platform from the runtime up: typed tool registry, multi-model orchestration with provider failover, brand-scoped retrieval over PostgreSQL with Row-Level Security, six-provider live web research, and a streaming agentic UI — all wired for the data and the regulatory load of fashion.
The same six-layer blueprint is what we deploy when clients hire us to build their own LLM-native platform — inside their own infrastructure, with full IP transfer at handover.
22 fashion-native agents · one routing copilot
A unified conversational surface routes intent into the right agent subset. Agents call typed tools, run in parallel with per-call failure isolation, and stream their reasoning back through Server-Sent Events as cards rendered in the UI.
Multi-model LLM chain with provider fallback
A single orchestration layer runs across multiple frontier models, chosen per task. Standard route for synthesis, reasoning route for analytical work. Every call has provider failover so an answer always comes back, even when one upstream is down, rate-limited, or unsuitable for the task. Which models sit behind the router is an engineering decision we own and revisit as the field moves.
Six-provider live web research
When an agent needs current data — competitor moves, supplier reputation, regulatory amendments — it dispatches across six research providers with quality scoring. Pages are fetched, normalised, and cited; provenance flows back into the workspace.
Brand-scoped retrieval, governed by RLS
Each brand has a private workspace: BOMs, supplier graph, prior playbooks, evidence vault, decision logs. PostgreSQL with Row-Level Security enforces tenancy at the row, not at the query — the agents read your data and nothing else.
Bun + TypeScript on a streaming-first stack
The backend runs on Bun for fast cold-start and native TypeScript, served over SSE so the UI streams tool calls, cards, and tokens as they happen. Stateless workers, dedicated instance available for enterprise residency.
React 18 · streaming card UI · ⌘K copilot
Vite + React 18 + Tailwind. A floating copilot accessible from anywhere in the workspace plus a full chat surface. Tool results render as live supplier, competitor, material, and product cards inside the reply — not as raw JSON.
McLeuker AI is not a self-serve SaaS. It ships with the consultancy.
Access to the platform is part of a McLeuker consulting engagement — configured for your brand, pre-loaded with your data, deployed by the partner team. The engagement is the way in.
The consultancy, and the platform it runs.
We are not advisers who read about agentic AI. We designed, built and operate McLeuker AI - a multi-agent platform running in production for fashion brands. That is where the consulting comes from: every recommendation is something we have already had to make work.
McLeuker
LLM and agentic AI expertise for fashion. We diagnose where agents belong in your operation, design the workflow, and install it alongside your team.
mcleuker.com
McLeuker AI
The agentic AI platform we built and run for fashion brands. Your engagement ships onto it, loaded with your brand context.
mcleukerai.com
Common questions.
What is McLeuker AI?+
McLeuker AI is the agentic AI platform built and operated by McLeuker, the fashion-tech consultancy. It runs a multi-agent framework over five orchestrated LLMs across supplier sourcing and outreach, EU and APAC market-entry playbooks, eco-design and Digital Product Passports, and competitor, channel and distributor intelligence — all scoped to one brand’s data. It lives at mcleukerai.com and is deployed as part of a McLeuker engagement.
Is McLeuker AI the same company as McLeuker?+
Yes. McLeuker is the consultancy; McLeuker AI is the platform the consultancy built and deploys. Same team, same Paris-based company. mcleuker.com is the consultancy site, mcleukerai.com is where the platform runs.
Can I buy McLeuker AI as standalone software?+
No. McLeuker AI is not sold as self-serve SaaS. It ships as part of a consulting engagement, pre-loaded with your brand context, your suppliers, your markets and your BOMs — because an agent with no context about your operation is a demo, not an operating tool.
Which LLMs does McLeuker AI run on?+
Several, routed per step with cost-aware selection and provider failover — long-horizon agentic reasoning, live signals, grounded citation, imagery and Chinese-language work each go to whichever frontier model is strongest at that job. We name the capability rather than the vendors on purpose: the mix is an engineering decision we own and revisit as the field moves, and you should not be buying a dependency on any one provider.
Where does our data live inside McLeuker AI?+
EU (Frankfurt) by default, with Row-Level Security at the database layer and brand-scoped retrieval, so agents can only ever read your own brand’s records. Clients with stricter residency requirements get a dedicated instance, or we build the same architecture inside their own infrastructure with full IP transfer.
How long does it take to get McLeuker AI running?+
Thirty days: Diagnose, Design, Deploy, Operate — one week each. It works because the platform already exists; the engagement loads your operation onto agents that already know the fashion domain.
Hire the consultancy. Operate the platform.
Book a 30-minute call. We walk through what an engagement looks like, what your team would operate from inside McLeuker AI, and how we keep both moving together.