GM3 connects your growth stack into one governed, source-labeled platform — then puts AI to work on it: answering any question across every network, monitoring campaigns 24/7, and executing changes with guardrails you control. All inside the AI workflow your team already uses.
The problem
Growth teams are moving into AI-native workflows faster than their stack supports. Three gaps stand in the way — and they're the ones we're focused on closing.
Ad platforms, attribution, analytics, engagement, revenue — each with its own dashboard, login, and definitions. Operators spend their days stitching the story together by hand.
Each ad platform optimizes for its own spend and grades its own homework — and none of them can see your whole picture.
Network numbers, MMP attribution, and SKAN postbacks routinely disagree. Budget decisions get made on numbers nobody can fully verify.
The platform
Everything a mobile growth team does — seeing, deciding, acting, and proving it worked — rebuilt for the AI era. Each capability ships when its numbers can be trusted, and each one makes the next more powerful.
Your whole ad stack behind one connection. Ask anything — blended performance, creative fatigue, budget pacing, what changed overnight — and get one answer across every network, every metric labeled with its source and freshness.
The full campaign lifecycle from your IDE: launch campaigns from versionable specs, upload creative, move budgets, adjust bids, rotate and pause. Every action passes through Shield — deterministic governance no platform will ever build for you.
The layer horizontal AI tools skip and mobile teams can't live without: reconciling what networks claim against what your MMP and SKAN actually show — so every decision, human or agent, runs on real numbers.
With trustworthy data and safe execution underneath, agents get genuinely useful: monitoring around the clock, reasoning like your best operator, and improving from your team's actual decisions and KPIs.
Who it's for
Run your daily loop — performance checks, budget moves, creative rotation — from one conversation instead of ten tabs. Spend your time on strategy, not swivel-chair operations.
"pause everything with CPA over $6 and show me why"One documented MCP surface instead of six network APIs. Build your team's custom workflows and automations on a stable, versioned contract with governance built in.
"wire our LTV model into the campaign spec pipeline"You built your app with AI coding tools. Run your user acquisition the same way — no growth hire required to get started, and guardrails so nothing burns budget while you sleep.
"launch my first ASA campaign, keep it under $100/day"One connection, your whole stack
The job is growth. Add one MCP to your AI workflow and every tool below is there — no tab-switching, no dozen logins, no CSV exports stitched in spreadsheets.
Every one of these lives in its own dashboard today. Beta starts with the ad platforms and AppsFlyer — the rest of the stack follows. See the full roadmap.
How it works
Headless by design — GM3 lives where your team already works: Claude Code, Cursor, or any MCP-capable AI tool.
Add the GM3 MCP to your IDE and authenticate your networks and MMP. Five minutes, fully self-serve.
GM3 continuously syncs spend, campaigns, creatives, and statuses into one normalized schema — with per-network freshness on every answer.
Cross-network questions, one answer: blended CPI, creative fatigue, what changed overnight — every number labeled by source.
Launch campaigns, swap creative, move budgets — every write dry-run first, checked against your spend rules, approved by you.
Why now
The platforms went headless — Meta already ships an MCP. Marketers are moving their daily work into AI-native tools. The teams that win the next era of UA will operate their entire stack from one AI workflow. GM3 is that layer for mobile.
Built by operators from every era of mobile adtech. GM3's founder built Grow Mobile in the first mobile ad wave (acquired by Perion), Downstream in the ML era (acquired by Snap), then ran ads and growth inside Snap. The hard parts of this product — SKAN, MMP reconciliation, the mobile measurement maze — are hard-won operating knowledge, not a market we're learning on the way in.
For technical teams
Send the docs to your technical counterpart — or read them yourself. Integration details, the full MCP tool reference, and the governance model are documented before you ever sign up.
One MCP entry in your config, a guided per-network auth flow, and your first cross-network answer — fully self-serve, no sales call required.
Every read tool, every planned write tool, and the propose_* contract that guarantees no agent ever directly mutates a live campaign.
Shield's deterministic guardrails, least-privilege credential scopes, tenant isolation, and the audit-everything policy — the section your security reviewer reads first.
Early access
We're onboarding a small number of mobile UA teams with live spend. Design partners get direct founder access and shape the roadmap.
Thanks — we'll be in touch as design-partner seats open.