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    Comparisonvs Epiminds LucySep 7, 2026

    Cogny vs Epiminds Lucy: Agent Fleet or Open Data Layer?

    Epiminds' Lucy coordinates 20+ marketing agents inside one platform, built for agencies. Cogny gives your own AI a warehouse plus MCP access to every channel and CRM — so cross-source questions like true cost per lead are a query, not a feature request.

    The Core Question

    Both products put AI in charge of marketing work. The difference is where the intelligence lives.

    Epiminds Lucy is a closed, multi-agent platform: Lucy is the manager, 20+ specialised agents do reporting, pacing, bidding and creative analysis, and you talk to her in Slack or email. It was built for agencies running many client accounts.

    Cogny is an open data layer: a BigQuery warehouse plus a single MCP endpoint that exposes your ad platforms, analytics, CRM and e-commerce data to any AI — Claude, Cursor, ChatGPT, our own in-app agent, or scheduled report templates. Cross-source questions are SQL joins, not roadmap items.

    Short answer: If you want a marketing team in a box and you are an agency, look at Lucy. If you want your marketing data to be reasonable over by whichever AI you already use — and you need to combine sources (Meta spend against HubSpot leads, say) — Cogny is the more direct route.

    Note: We have not used Lucy ourselves. Everything below about Epiminds comes from their public site, press coverage of their October 2025 seed round, third-party listings, and what a customer who evaluated Lucy before onboarding with Cogny told us. Sources are linked at the bottom. If anything is out of date, tell us and we will fix it.


    At a Glance Comparison

    CognyEpiminds Lucy
    What it isMarketing data warehouse + MCP endpoint + AI agentMulti-agent "AI marketing manager" platform
    Where AI runsYour AI client (Claude, Cursor, ChatGPT) or Cogny's in-app agentInside Epiminds only (Lucy + 20+ agents)
    InterfaceChat in-app, MCP in your own tools, CLI, scheduled reportsSlack, email, web app
    Primary buyerFounders, in-house marketers, RevOps, agenciesMarketing agencies (per Epiminds' site and press)
    Data modelBigQuery warehouse you own; every source is joinablePlatform-internal; "one holistic view" claimed, schema not public
    Ad platformsGoogle, Meta, LinkedIn, TikTok, Snapchat, X, Apple Search Ads, OpenAI Ads, BingGoogle, Meta, TikTok, Snapchat (per listings); LinkedIn mentioned in press
    CRMHubSpot (via HubSpot's MCP server), Upsales, plus any CRM export in BigQuerySalesforce named in reviews; "CRMs" generically on site
    AnalyticsGA4 (API + BigQuery export), GTM, Search Console, Plausible, Fathom, Simple Analytics"Analytics" and "data warehouses" listed generically
    Cross-source joinsSQL on the warehouse, or the agent joins across MCP toolsNot documented publicly
    Execution (writes to platforms)Yes — write tools with approval gates and action grantsYes — budgets, bids, ads; approval "varies" per third-party comparison
    OpennessOpen MCP standard; works with any MCP clientProprietary
    PricingPublic: Free, Solo $9/mo, Cogny AI $18/mo, Cogny Pro $90/mo, Cloud $499/moNot published; pilot and agency deals
    Trial / self-serveYes, free tier, no sales callEarly access by application
    Independent reviewsCase studies on this siteNone on G2, Capterra or Trustpilot as of September 2026

    What Lucy Does Well

    Credit where it is due. Epiminds has built something real and the market noticed:

    • A coherent multi-agent design. Lucy decomposes a goal into sub-tasks and delegates to specialists for reporting, pacing, bidding, creative analysis and planning. That is a sensible architecture for repetitive agency operations.
    • Agency onboarding speed. Epiminds says a new client can be onboarded in under a minute, and press coverage cites agencies managing 240–290 brands on the platform within weeks of launch.
    • Meets people where they work. Lucy lives in Slack and email, which is exactly where an account manager already is.
    • Serious backing. A $6.6M seed led by Lightspeed, founders from Google and Spotify, and coverage in Forbes and Business Insider.

    If you run an agency with dozens of near-identical paid-media accounts, that pitch is aimed squarely at you.


    Where the Approaches Differ

    1. Closed fleet vs open data layer

    Lucy's agents are Epiminds' agents. You get the ones they have built, connected to the sources they have integrated, reasoning inside their platform.

    Cogny inverts this. We do the boring, hard part — OAuth for every ad platform, token refresh, API versioning, GAQL, rate limits — and expose it as one MCP endpoint plus a warehouse. Which AI reasons over it is your call. Most of our users run Claude or Cursor with the Cogny MCP; others use the in-app agent, the CLI, or scheduled report templates.

    The practical consequence: when a new model ships, your Cogny setup gets smarter the same day. When a new source matters, you add it to the warehouse.

    2. Cross-source questions

    This is the one that prompted this page.

    A team that came to us after evaluating Lucy had a simple question: what is our real cost per lead on Meta? Meta reported one number of leads. HubSpot had considerably more contacts from the same campaigns, because a share of visitors declined tracking consent and never reached Meta's pixel — but they still filled in the form, and HubSpot saw them.

    Answering that means joining Meta spend (from the ads API) with HubSpot contacts (from the CRM) on campaign name or UTM, then dividing. In Cogny that is either one SQL statement on the warehouse or a two-tool call by the agent. We wrote up the method in Meta says 40 leads, HubSpot says 65.

    We cannot tell you Lucy can't do this — Epiminds lists CRMs and data warehouses as integrations. We can tell you it is not documented publicly, and that this specific team found it hard enough to switch.

    3. Who owns the data

    Cogny lands your data in a BigQuery project you can access directly. Cancel tomorrow and the tables are still yours. With a platform-internal data model, whatever Lucy has learned stays with Lucy.

    4. Pricing transparency

    Cogny's pricing is public and self-serve, from a free tier through Solo at $9/mo to Cloud at $499/mo with 5,000 included credits. Epiminds does not publish pricing; third-party writeups describe pilot and agency deals. Neither is wrong — enterprise agency software often prices this way — but it changes who can try the product on a Tuesday afternoon without a sales call.


    When to Choose Epiminds Lucy

    • You are an agency managing many paid-media accounts and want an orchestrated team of agents, not a data layer.
    • Your work is ads-centric (budgets, bids, pacing, creative rotation) and the value is in execution volume.
    • You want the AI in Slack and email and do not use an AI coding or chat client day to day.
    • You are comfortable with early-access, negotiated pricing and a platform that is still expanding its integrations.

    When to Choose Cogny

    • You already use Claude, Cursor, ChatGPT or another MCP client and want it to see your marketing data.
    • Your questions cross sources: ad spend vs CRM leads, GA4 vs Shopify revenue, LinkedIn touch vs booked calls.
    • You want to own the warehouse and the SQL, not just the answers.
    • You are a founder or in-house team and want a $9–$90/mo price you can start on today.
    • You need B2B attribution — see our attribution content pillar.

    Use Both If

    Honestly, that is plausible. An agency could run Lucy for execution and keep client data in a Cogny warehouse so the agency's own AI can answer the questions Lucy's reports do not. MCP is an open standard; nothing in Cogny fences other tools out.


    FAQ

    Q: Is Epiminds Lucy available to buy today?

    Public listings describe it as early access / closed beta with pricing on request. Epiminds' site and press say agencies managing hundreds of brands are already on it, so "available to selected agencies" is the fair summary. Check epiminds.com for the current status.

    Q: Does Cogny execute changes on ad platforms like Lucy does?

    Yes. Cogny has write tools for Google Ads, Meta Ads, LinkedIn, TikTok, Snapchat, X and others — pausing ads, changing budgets, creating campaigns. Writes go through approval gates (tickets you sign off on, or scoped action grants for automations). See Solo loops for how autonomous runs are bounded.

    Q: Can Cogny combine Meta Ads data with HubSpot?

    Yes. Meta Ads and HubSpot are both live connections. The agent can pull Meta insights and HubSpot contacts in one conversation, or you can land both in BigQuery and join on UTM/campaign. Walkthrough: calculating real cost per lead.

    Q: Which has more integrations?

    Cogny publishes its full list on the integrations page — ad platforms, analytics, CRM, e-commerce, email, accounting. Epiminds describes categories (channels, CRMs, e-commerce, analytics, warehouses, trend platforms) and third-party listings name Google, Meta, TikTok, Snapchat and Salesforce. We would not draw a conclusion about count from that; ask them for the current list.

    Q: Are there user reviews of Epiminds Lucy?

    As of September 2026 we found none on G2, Capterra, Trustpilot or Product Hunt. Coverage is press (Forbes, ArcticStartup, Vestbee), listing sites (moge.ai, agentaya, aival) and comparison pages from other vendors. Our summary of what's publicly known collects them.

    Q: Is Cogny a Lucy alternative for agencies?

    For agencies whose value is analysis and strategy, yes — Cogny Cloud supports multiple workspaces, per-client warehouses and scheduled client reports. For agencies whose value is high-volume campaign operations, Lucy's fleet is more directly aimed at you.


    Sources


    See Also:


    About This Comparison

    Written by the Cogny team. We build the warehouse and MCP layer described above and use it daily on our own marketing. We have not used Epiminds Lucy; the Epiminds column is compiled from public sources listed above and one customer conversation. Corrections welcome.

    Last Updated: September 7, 2026

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