A pipeline automation overlay for Salesforce, HubSpot, and other major CRMs. The system listens to your team's calls, emails, and meetings; automatically logs activities to the right opportunity; updates stages based on what was actually said; runs an embedding-based scoring model trained on your historical win/loss data; and tells each rep the highest-value action they should take today (security questionnaire follow-up, pricing review, demo reschedule, lost-deal recovery). It also triggers automatic touch sequences when a deal goes silent for more than a few days. Built for revenue teams that want the CRM to actually run on its own.
Real CRM automation is harder than it sounds. Activity capture has to work across phone, email, calendar, and video without forcing reps to install plugins they'll uninstall in a week. Deal scoring needs your historical pipeline data — and the model has to be explainable enough that reps trust its outputs. 'Next-best action' recommendations have to be specific and actionable, not generic. And the whole thing has to play nice with Salesforce or HubSpot's existing automations, not fight them.
We integrate at the API and activity-data layer rather than building yet another rep-facing tool. Call recording integrations (Gong, Chorus, or direct via Twilio/Zoom) provide raw conversation data. An LLM extracts structured activity entries and writes them to the right opportunity via the CRM API. A predictive scoring model — trained on your last 18–24 months of opportunity data — runs nightly and updates score and forecast fields. A rules engine surfaces the top-priority action per rep based on stage, score, and recent activity decay. Everything reads and writes through Salesforce or HubSpot natively, so your existing reports and dashboards still work.
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Salesforce, integrations, automation, AI — if it can be built, we ship it. Senior US engineers, plain-English communication.
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