Most sales tools log activity: calls, CRM notes, activity feeds. Sybill learns what actually drives a deal to won or lost in your organization, and then acts on it: meeting prep, detailed follow-ups, immediate CRM updates, custom collateral, deal strategy, accurate forecasts, and rep coaching. It delivers the last mile that other AI leaves sitting on the rep’s to-do list.
That works because of what’s underneath. Most GTM AI wires an LLM straight to raw data and hopes for the best. We spent 18 months building the deep context layer in between - so Sybill knows who each buyer is across every call, email, Slack thread, and Google doc; what led to deal wins and losses before this one; and what worked the last time your team was in this spot. It’s the difference between reasoning from a transcript and reasoning from experience, and it means the product gets sharper with every deal you run.
That’s why 800+ revenue teams run on Sybill - including Warmly, Smartcat, Beehiiv, and Tribe - and why we’ve replaced Gong at 25+ companies this year. Reps save 10+ hours a week on admin, manage 2–5x more pipeline, and ramp 50% faster. For an AE, that means a product prospects can test on their own data and choose on the merits, a real category argument to make instead of a feature bake-off, and buyers - CROs, VPs of Sales, and RevOps - who are actively rethinking their stack right now.