from raw data to a shipped change

    one place for data-driven growth, from data to verdict.

    Cogny connects 72 tools across ads, analytics, search, email, e-commerce, CRM and CMS, turns the data into one next step at a time, ships it once you approve, and measures it. Use it in the Cogny app or from the AI you already use.

    or from your own AI

    claude mcp add --transport http cogny https://app.cogny.com/mcp

    what an AI growth platform should do

    An AI growth platform has one job: shorten the distance between raw data and a shipped change that moved a number. Most stacks have the data. What they lack is the loop: someone to read it across tools, decide what to change, make the change and check it a week later.

    Cogny runs that loop. It reads your connected tools together, proposes one concrete change, ships it in the real tool after approval, turns it into a ticket, and measures it after three days for ads and seven for content and SEO. Every ticket closes with a verdict: worked, partial, didn't work or inconclusive.

    Because the loop spans the stack, experiments do too. A change in one tool is measured in the data of another: an ad change read against orders in your shop, a page change against sign-ups in GA4. Over time the ledger of verdicts becomes the most useful thing you own: a record of what works for your business.

    From raw data to a shipped change. Then a verdict.

    growth without a system is chaos

    • Data scattered everywhere

      Analytics in one tab, ads in another, the CRM in a third. A unified view costs hours.

    • Experiments without structure

      Tests run ad hoc and the results live in Slack threads nobody revisits.

    • The insight-to-action gap

      You see the problem but the fix waits for a sprint. The window closes.

    • Tool overload

      A new tool per growth function, and none of them talk to each other.

    from scattered data to a systematic loop

    1. 01

      Connect

      72 integrations over OAuth. Brand & Context is built from your website, free.

    2. 02

      See

      A start page with a graph per KPI, last 30 days against the 30 before, on every plan.

    3. 03

      Ship

      One next step, approved, made in the real tool.

    4. 04

      Measure

      A ticket per change, a verdict in 3 or 7 days.

    5. 05

      Repeat

      Loops on Solo and up; scheduled reports and automations on Cloud.

    the growth ledger

    changeshipped inmeasured inresult
    New landing page for top queryshipped in Webflowmeasured in Search Console · 7 days+22% clicksworked
    Raise budget on best ad setshipped in Meta Adsmeasured in Shopify orders · 3 days+6% orders, CPA +4%partial
    Exit-intent discountshipped in Shopifymeasured in GA4 margin · 7 daysmargin −3%didn't work

    Example rows, not customer data.

    everything a growth team needs, held together by the ledger

    • One reading of the stack

      Ads, analytics, search, email, shop, CRM and CMS, read together.

    • Cross-stack experiments

      Change in one tool, measured in another. On Cloud, three proposed experiments per graph.

    • Your AI or the Cogny app

      Claude, ChatGPT, Cursor and Codex over MCP, or chat and voice in the app.

    • Code, too (Cloud)

      Cogny Code opens pull requests on your GitHub repo, with preview deployments. They never merge themselves.

    what it doesn't do

    • It doesn't run randomised A/B tests. It measures before and after in your data.
    • It doesn't ship without approval in the app, and your own AI's approval prompt is the gate over MCP.
    • It doesn't give agencies a multi-client dashboard. Each client is its own workspace.

    what it costs.

    • Free $015 MCP calls a month and 50 one-time chat credits, no card
    • Solo $9unmetered in your own AI, fair use
    • Cogny AI $18150 credits
    • Cogny Pro $901,500 credits
    • Cloud $4995,000 credits, for teams

    Per month. Solo, Cogny AI and Cogny Pro have one seat each. Every change is recorded on every plan; Solo measures 3 a month, Cogny AI and Pro measure every one and add monthly credits. Teams need Cloud. Compare plans →

    from data to verdict, in one place.