Same engine on every plan. More hands-off as you scale.
A first-customer brand on Seed runs the same engine as a brand on Scale. What changes is volume and your role on the exceptions the engine surfaces, never the engine itself.
The engine scores, drafts, holds until the window opens, and queues every decision with its reason. You release the queue in a click. Full timing engine from day one, no approval gate, no reduced model.
Start free →It sends on its own when the read is strong enough, surfaces the borderline accounts for you, and holds the rest until their window opens. You touch the exceptions, not the queue.
Start Growth trial →Full autonomy inside the timing engine, with a value threshold above which the engine hands the account to your team instead of sending. Every decision logged and cited. You review outcomes in the ledger, never approvals.
Start Scale trial →What actually changes between tiers.
Every plan reports where your board reads it: LTV per cohort and NRR, not open rates.
Numbers we can stand behind.
Nothing to configure
80 industry profiles ship with their own rhythm and sensitivity tier, calibrated before you connect a single data source.
A million scores, 14.4 seconds
On a single core. Volume is not the thing that constrains this.
Twelve of twelve
Twelve of twelve buying windows derived on their own, 207 to 234 days, controlled dataset.