Ship 50 experiments a quarter.
Most teams manage five.
A coordinated team of AI agents that diagnoses what to test, then ships it across paid, lifecycle, in-product, and retention. Every experiment makes the next one sharper. You approve every move.
Value-prop test
| Stage | Metric | Delta | Insight |
|---|---|---|---|
| Activation | Trial-start lift | +12.4% | Stronger headline + benefit order |
| Lifecycle | D7 retention | +3.1% | Reordered onboarding emails |
| Retention | Save-offer take | −0.8% | Discount framing underperformed |
Growth is an execution problem.
Most teams already know what they should test. They just can't get to it. The backlog grows faster than anyone can ship. We close that gap: one system owns the whole chain, diagnose, draft, ship, read, so the coordination cost drops to near zero.
Every experiment, win or lose, feeds a knowledge base. The next one starts smarter. After six months your growth function isn't a person you hired. It's a system that compounds.
A specialist for every surface.
A coordinated team of agents, each focused on a single growth surface, not one all-purpose chatbot. They share context, hand off cleanly, and report to an Orchestrator that holds the whole picture, so a paywall test always talks to the lifecycle program. That cross-surface view is what point tools can't do.
Portia
- Paywall variants
- Signup & onboarding
- In-app pricing
Lexi
- Segment generation
- Send-time tuning
- Sequence orchestration
Royce
- Creative variants
- Audience expansion
- Channel mix tests
Audrey
- Churn risk scoring
- Save offers
- Winback flows
Enzo
- Activation diagnosis
- Lift attribution
- Anomaly detection
Every agent is named after a marque. So is the company.
Your agents work in the tools you already use.
Deliberate, not magic.
You stay in control at every step. The agent reads, drafts, and proposes on its own, but nothing reaches production without your sign-off.
Set the goal
You name the metric you want to move: activation, trial conversion, retention.
We learn your business
We connect to your stack and read your data, surfaces, and backlog. Then we study your category: competitor pricing, paywalls, reviews, ads.
You get a diagnosis
Within days, a written read: what's holding growth back, a ranked list of experiments, and what we expect each to move.
You approve what ships
Read it, edit it, choose what runs. Approve from Slack or email. No dashboard to babysit.
We ship and read results
We build and launch each approved experiment, measure the lift, and feed the result back in. The next round starts smarter.
Three verticals. One platform.
Product-led companies under $25M ARR, where the product is the funnel. Three categories where we go especially deep.
Where activation is a completed first visit or a built habit, and the ad stack everyone else runs is a compliance risk.
Go deeper →Where the bank-connection wall, trust, and annual-plan mix decide whether you have a business at all.
Go deeper →Where the product is the funnel and the founding marketer can't possibly run every experiment alone.
Go deeper →Why this. Why now.
The cost of building software collapsed. The cost of growing it didn't. Distribution is the moat now, and for product-led companies growth went from a function to the function.
Growth lives across tools that don't talk to each other: Mixpanel, Stripe, Klaviyo, Intercom, Meta Ads. Turning them into one actionable picture is exactly the work agents are good at.
A senior growth hire costs $250–400k all-in and takes six months to ramp. Most companies under $10M ARR can't justify it, so they DIY and stay stuck.
Agentic marketing already works in the enterprise. We bring it to the companies enterprise tools can't economically serve.
Now taking design partners.
A small number of founding partners. If you're product-led and somewhere between $1M and $25M ARR, we'd like to talk. Limited spots.