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/mcpwhat 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
- 01
Connect
72 integrations over OAuth. Brand & Context is built from your website, free.
- 02
See
A start page with a graph per KPI, last 30 days against the 30 before, on every plan.
- 03
Ship
One next step, approved, made in the real tool.
- 04
Measure
A ticket per change, a verdict in 3 or 7 days.
- 05
Repeat
Loops on Solo and up; scheduled reports and automations on Cloud.
the growth ledger
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.
the record.
Published case studies, each one linked.
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.