An AI-native intelligence layer that reads engagement across your CRM, intent platforms and market data. It identifies the accounts and individual buyers who are ready right now, and routes the next best action to the rep who owns them. On top of the stack you already run.
Fed by your CRM · Intent platforms · Firmographic data · Market signals · Web activity
"Our pipeline looks like a flat list of accounts. We can't tell who's ready to buy this quarter."
Ranked intent. The top 5% of buyer signals routed to the rep who owns the account, with the next best action attached.
"We have 12,000 dormant leads in the CRM. They're costing us license fees just sitting there."
Reactivation plays triggered by behavioural change. 40% of dormant accounts re-engaged within 90 days.
"Our reps spend half their day researching accounts before they even open the outreach editor."
Account context pre-synthesised. Reps see the brief first and write outreach in one sitting, not three.
Each layer is independently deployable. Start with the one that solves the problem on your desk this quarter. Add the rest as you grow. Plugs onto your existing stack without forcing migration.
Deep account profiles from firmographic, technographic and web data. Intent signals at account and individual buyer level. ICP fit scoring calibrated to your criteria and updated as company data changes, so the score reflects reality this quarter.
Real-time ingestion from 10+ external sources: funding rounds, hiring surges, M&A, leadership changes, job postings that reveal strategic priorities. When a buyer's intent jumps, ZenSignal proposes who to contact, what to send and when.
FIT-scored, intent-ranked account prioritisation. Dormant CRM reactivation via current signals. Deal health scoring and stakeholder mapping overlaid on your existing pipeline. Plugs into Salesforce, HubSpot, Dynamics, or runs standalone.
AI health scoring from product usage, support and external signals. Churn risk surfaced 30–60 days before renewal. Expansion signals triggered when timing is right, instead of waiting for the scheduled QBR.
Pipeline velocity, conversion risk and predictive modelling, built on signals rather than rep-entered estimates. One forecast surface, same live data, accessible to every revenue role without per-seat economics.
Five sources flow in. The engine ingests, resolves, scores and ranks. Three outputs land in the tools your team already uses.
One platform that pays back differently depending on where you sit in the revenue team.
Content reaches many people. You can't tell which of them are actually buying, or hand warm accounts to sales before the window closes.
Named accounts and individual buyers behind every engagement, identified in real time. Warm intent handed to sales before competitors notice.
Reps spend half the day updating CRM and the other half guessing which deal to push. Forecast calls are based on what reps logged, not what's true.
Every account has an AI intelligence brief and a next best action. Reps stop researching and start selling. Forecast built on signals.
Signal data scattered across intent platforms, CRM, LinkedIn and web analytics. No unified view, no single source of truth for pipeline health.
One composable intelligence layer aggregates 10+ signal sources: clean, enriched, deduplicated. On top of your existing stack.
Twenty target accounts. No clear signal on which one is moving this week. You decide by who replied to your last email.
Open the account, see the engagement timeline, intent score and next best action. Walk into every meeting prepared.
Renewals come up and you scramble for context. You find out in the QBR what you should have known weeks ago.
Health layer reads every signal across your account base. Churn risk and expansion signals surfaced 30–60 days before renewal.
Forecast accuracy suffers because the underlying data is what reps entered last week, not what is true in the market today.
Signal-based pipeline velocity and conversion risk. One forecast surface, same live data, for the sales rep and the board.
Higher quality pipeline from AI-ranked accounts versus undifferentiated lead lists.
Dormant CRM accounts re-engaged within 90 days using signal-driven plays.
Reduction in preventable churn through early health signal detection.
Less time on manual research. Reps act on AI-synthesised account intelligence.
Bring your CRM. We'll show you what signal intelligence surfaces from data you already own. The workshop is complimentary.
Americas · Europe · Asia