Lemrock
Agentic commerce infrastructure that ingests a brand's catalog, structures it for language models and builds the brand an agent storefront for discovery, recommendations and purchases inside AI assistants.
Lemrock builds infrastructure for agentic commerce: it connects a brand's product catalog to AI assistants so shoppers can find and buy the brand's products inside a conversation. It ingests the catalog, structures it for language models to interpret and retrieve, and matches shoppers to products by intent, personalized by profile, context and history.
Lemrock builds each brand an agent storefront that serves discovery, recommendations and purchases in ChatGPT, Perplexity, Mistral, Gemini and DeepSeek and inside thematic assistants such as a beauty advisor or a travel planner, and it builds conversational experiences and apps for brands end to end. Brands control tone, storytelling and exposure across AI touchpoints, and insights show what people and agents ask for, search and buy.
Lemrock says it is live at scale, with more than ten million products live and more than a billion queries a year. Its public site is a marketing site with a demo request: it documents no API, integrations, security controls, deployment options or pricing, and states only GDPR compliance. The founders are Roxane Laigle (CEO), Sasha Collin (CPO) and Clement Nguyen (CTO).
Lemrock raised a six million euro seed round led by Galion.exe in March 2026.
Vendor details
Canonical URL
https://www.lemrock.com
Category
Agent infrastructure
Subcategory
Agentic commerce storefront
Funding status
Seed; six million euros (about seven million dollars) led by Galion.exe, announced March 2026, with Criteo founder Jean-Baptiste Rudelle joining the board.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Ingests a brand's product catalog and serves discovery, recommendations and purchases through an agent storefront reached from ChatGPT, Perplexity, Mistral, Gemini, DeepSeek and thematic assistants. The e-commerce integrations and the purchase mechanism are not documented publicly, and there is no public API or developer documentation.
In practice
A sporting goods brand connects its catalog so a shopper asking an assistant for a complete trail running outfit is matched to its shoes, shorts and vest and can buy in the chat
A furniture retailer appears in thematic assistants as well as ChatGPT when a shopper asks how to furnish a small apartment
A brand reviews what people and agents are asking for to find gaps in its catalog exposure
Sources & related URLs
Related / legacy domains
Agentic Index coverage score
3.5 / 14 capabilities · 25%
| Integrations & Tool Calling | Partial |
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Purchases shown, no action surface documented. Lemrock says it builds a brand an agent storefront serving discovery, recommendations and transactions across AI environments, and its demos show shoppers buying inside a chat; the about page cites fast, secure e-commerce integrations. No protocol, connector list, tool definitions or checkout mechanism is named, so how an agent acts in the brand's store is undocumented. SourceLemrock, lemrock.com (home, about)read 2026-09-25 |
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| Workflow Orchestration | Not documented |
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No workflow model documented. The homepage names an "LLM orchestration layer" among its technology in a tagline, with no steps, branching, agents or execution model described; a phrase is not a documented orchestration surface. SourceLemrock, lemrock.com (home)read 2026-09-25 |
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| Knowledge Grounding & RAG | Full |
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A maintained retrieval structure over the brand's catalog, stated at marketing depth. Lemrock ingests the brand's product catalog and structures it for LLM interpretation and retrieval, matching shoppers' own words to the right product by intent, and reports more than ten million products live. No documentation describes the structure itself. SourceLemrock, lemrock.com (home)read 2026-09-25 |
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| Human Oversight & Guardrails | Partial |
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Brand controls, no approval step. Lemrock states full control over brand exposure, and the brand can control tone and storytelling and enforce consistency across AI touchpoints. Those are constraints the customer sets on what the storefront presents; no review or approval before an action is documented. SourceLemrock, lemrock.com (about, home)read 2026-09-25 |
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| Security, Identity & Governance | Not documented |
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A compliance claim with nothing behind it. The about page says Lemrock is GDPR compliant and its integrations are secure, but no access surface (no SSO, roles or permissions) and no attestation is published. No trust or security subdomain resolves on lemrock.com. SourceLemrock, lemrock.com (about) and subdomain probesread 2026-09-25 |
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| Observability & Auditability | Partial |
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Aggregate insights, no run trace. Lemrock's AI insights show what people and agents are asking, searching and buying, track intents and gaps, and give real time signals from human queries and machine calls. That is reporting on demand and traffic, with no per session view of what an agent did. SourceLemrock, lemrock.com (home, Get instant AI insights)read 2026-09-25 |
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| Memory & State Persistence | Partial |
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Context used in the conversation, no memory layer described. Lemrock personalizes matches by profile, context and history, moving beyond static filters, which reads as conversation and shopper context applied at match time; no store, scope or lifetime for that state is documented. SourceLemrock, lemrock.com (home, Hyper-personalization)read 2026-09-25 |
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| Deployment & Data Residency | Not documented |
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No region, customer environment or selection surface is documented. The GDPR compliance statement is legal cover, not residency. SourceLemrock, lemrock.com (about, home)read 2026-09-25 |
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| Prebuilt Agents, Templates & Packs | Not documented |
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No agents or templates a buyer adopts. The closest things are the product matching Lemrock powers inside thematic assistants (a beauty advisor, a travel planner, a health companion) and the conversational experiences and apps it says it builds end to end for brands; neither is a documented set of agents a customer selects and runs, and the build is a service. SourceLemrock, lemrock.com (home, Precision LLM Interfaces, Mass-scale LLM Search)read 2026-09-25 |
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| Triggers & Channel Coverage | Partial |
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Several inbound channels, no documented wake. The brand's storefront is reached from ChatGPT, Perplexity, Mistral, Gemini and DeepSeek and from thematic assistants, each invoked when a shopper asks. That is channel breadth, not an event, schedule or webhook starting work. SourceLemrock, lemrock.com (home)read 2026-09-25 |
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| Model Flexibility & Routing | Not documented |
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No customer model choice. Lemrock runs proprietary models on its own data, and the assistants that read the brand's storefront are channels, not models the customer selects. SourceLemrock, lemrock.com (home, Built on science)read 2026-09-25 |
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| APIs, SDKs & MCP Extensibility | Not documented |
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Nothing documented for outside callers. The site offers a demo request and no API, SDK, MCP server or developer documentation; api.lemrock.com returns 404 at its root, and there is no docs or developers subdomain. Trade press has described a single integration point. SourceLemrock, lemrock.com and subdomain probesread 2026-09-25 |
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| Testing, Debugging & Optimization | Not documented |
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No evaluation surface. The insights report demand and exposure; nothing tests or scores the storefront's recommendations or conversations, and the 10x ROAS figure is the vendor's own performance claim. SourceLemrock, lemrock.com (home)read 2026-09-25 |
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| Browser & Computer Use | Not documented |
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No agent operates a browser or desktop; the storefront serves data and purchases to assistants. SourceLemrock, lemrock.com (home)read 2026-09-25 |
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The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Pricing
No public pricing; contracts are quoted through sales
not published; B2B contract likely scaled by catalog size, interaction volume, or transactions
What is public
A demo request path only.
Billing mechanics
Not publicly documented; arranged after a demo.
Cost watchouts
Whether the storefront build, the platform and any transaction share are priced separately, and on what unit, is not published.
Variable cost rationale
No public rates exist. As a distribution and transaction middleware processing more than one hundred million interactions monthly across large catalogs, cost could carry a per interaction or per transaction component that scales with usage, but the company publishes no mechanics, so treat exposure as unquantified and quoted per deal.
Additional watchouts
This is a very young company with pricing likely to evolve; confirm terms directly and clarify whether any transaction or volume based component applies given the scale of interactions.
Sales call required
Yes, required for paid access
Free / trial
No free tier or trial is documented on retrieved pages
Key ambiguities
No plan, price or billing unit is public; the site offers only a demo request.
Missing data
All prices, the billing unit and contract terms.
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Alternatives to Lemrock
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- Catalog4.5 / 14Adds documented APIs, SDKs & MCP Extensibility and Browser & Computer UseLemrock vs Catalog →
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Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded