Ad platforms decide more. You control less. We're here to fix that.
Every year, Meta, Google, and TikTok absorb another lever you used to own—targeting, bidding, creative selection. Their goal isn't to help you grow. It's to make your expertise optional.
GrowthGPT builds agents that put business context back in the loop: your margins, your risk tolerance, your strategy—executed continuously, within boundaries you set.
Give every seller the growth intelligence that used to require a six-figure team.
Ad platforms optimize for their own systems. Growth teams optimize for a business: margins, inventory, payback windows, and a strategy that changes weekly. GrowthGPT exists to keep that business context in the loop—consistently, continuously, and at execution speed.
Make execution compounding
The most expensive cost in growth isn’t spend—it’s relearning. We want playbooks, guardrails, and decision logic to live in the product, not in people’s heads.
Make automation controllable
Auto-execute is powerful. We treat it as a responsibility: you define limits, approvals where needed, and escalation. The agent operates inside a system you can inspect and control.
Make decisions auditable
Every change should be explainable. GrowthGPT records what changed, when, the trigger signal, and a rationale summary—so teams can review, learn, and hold systems accountable.
Serve SMB, scale upward
We’re SMB-first by design: fast setup, clear defaults, and practical workflows. For mature teams, we support demos and implementation paths that fit real governance and review cycles.
Interdisciplinary by necessity.
Reliable growth automation is not only modeling. It’s systems, guardrails, measurement, product craft, and customer reality. We build across the whole loop: decide → execute → measure → improve.
Growth Systems
We translate operator intuition into repeatable decision systems: goals, constraints, signals, and playbooks that can run continuously.
Agentic Engineering
We build execution agents that can operate safely in live environments—handling edge cases, rate limits, failures, and reporting with clarity.
Product
We design interfaces where boundaries are explicit: what the agent can do, what it’s doing now, and why it did what it did.
Sales-led & Success
For mature teams, we support demos, onboarding, and workflows that match real governance: reviews, rollouts, and accountability.
Built by someone who kept rebuilding the same system.
Reliable growth automation is not only modeling. It’s systems, guardrails, measurement, product craft, and customer reality. We build across the whole loop: decide → execute → measure → improve.
The pattern
8 years in user growth—ByteDance, TikTok, Kuaishou, miHoYo—managing millions in daily ad spend across dozens of markets. At every company, the cycle repeated: build the growth stack from scratch, train the team, watch the knowledge evaporate when people move on.
The question
The third time we rebuilt the same attribution pipeline at a new company, the question stopped being "how do I do this faster" and became "why does this system only exist inside people’s heads?" GrowthGPT is the answer.
How we act shows up in the product.
Agents touch real budgets. That demands clear principles—so we optimize for trust, reversibility, and measurable impact, not theatrics.
Prefer clarity over hype
We avoid vague claims. If we say something works, we show what it does, when it does it, and how you can verify it.
Build for real operators
Our users are busy. We ship defaults that work, surfaces that explain, and workflows that match how growth teams actually operate.
Measure impact, not activity
We optimize for outcomes that matter: time saved, waste reduced, stability improved, and better decisions under constraints.
Ship, then earn the right to expand
We don’t pitch a vision and ask for trust. We start narrow, prove value on one campaign, and expand from there.
© 2026