We built this because PLG taught us exactly where the edges are — and AI agents are the right answer.
Every great PLG company eventually runs into the same wall. The product does 80% of the work. But the last 20% — activating dormant free users, nudging stalled trials, expanding accounts, re-engaging churned users — still requires humans. SDRs, CSMs, growth engineers building one-off scripts.
It works. But it's expensive. It doesn't scale. And it's the wrong use of human time.
The motions that PLG SDRs run are largely the same across every company. Look for a signal. Write a personalized message. Wait for a response. Follow up. Hand off when warm. These are deterministic workflows with a lot of surface area for AI agents to run them better than humans — 24/7, at scale, grounded in real product data.
Agent-Led Growth (ALG) is the name we gave to this approach. It's not a replacement for PLG — it's the layer on top that handles the edges PLG can't reach on its own.
The ALG platform connects your product data to agent motions that run automatically. We give you the playbook, the motion builder, the integrations, and the analytics. You define the triggers and the outcomes. The agents do the rest.
We're in early access now. The platform is live with a small group of teams. If you're running a PLG motion and spending money on humans to patch the edges, we want to talk.
Get the ALG playbook and early product access before we launch publicly.
See the ALG playbook →