An AI-native intelligence layer that reads engagement from every source you run, identifies the accounts and the individual buyers behind it, scores their intent, and gives you the next best action.
A system of intelligence, not a system of record.
Traditional CRM stores. Signals reads. Engagement, intent, identity, history. Signals composes them into the next best action for your team. Built on the GenAI architecture sales actually needs, not bolted on top of yesterday's record-keeping.
Signals watches every signal, surfaces the one row that becomes a deal, and gives you the next best action. Who to call. What to send. When.
Five layers. Take all of them. Or just the ones you need today.
Each layer is independently selectable, independently priced, and independently deployable. Start with one. Add the rest as you grow. Plug onto your existing data sources without forcing migration.
Three flows. One intelligence layer. End-to-end revenue motion.
The same intelligence layer that surfaces a new buyer also manages the deal, retains the customer, and turns them into the next advocacy signal. One model, three motions, no hand-offs between disconnected tools.
Captures leads from every GTM source you run. Advocacy posts, smart links, web visits, ABM, events, referrals, your existing CRM. Each lead arrives as a unified Account record with intent and context already attached.
Two account categories: Prospect Opportunity (new buyers) and Customer Opportunity (expansion). Each opportunity has its own stakeholder set, its own next best action, its own intelligence trail.
Five lifecycle stages, each driven by its own signal mix. The same intelligence layer that won the customer keeps them, expands them, and turns them into the next advocate.
Compose the platform around your reality. Not the other way around.
Signals scales with your operation. Start with the layer that solves the problem on your desk this quarter. Add the next when the next one's ready. No big-bang migration, no per-seat ladder, no stranded investments.
One platform. Every chair gets its own view.
The same intelligence layer renders differently for each role. Below: how Signals shows up for the people who buy this platform, and for the people who use it every day.
Content reaches a lot of people. You can't tell which of them are actually buying.
Signals shows you the named individuals who engage where the signal path is available. Hand warm intent to sales with the next best action attached.
Reps spend half the day updating the CRM and the other half guessing which deal to push.
Signals proposes the next best action for every account. Reps stop maintaining the pipeline and start moving it.
Forecast accuracy suffers because the underlying data is what reps logged, not what's true.
Signals forecasts on signals. Pipeline velocity, conversion risk, predictive modeling. Accessible to the whole revenue team without per-seat economics.
You launch the campaign, watch the dashboards, and try to pull the few names that matter out of a sea of clicks.
Qualified share, engagement, and visit signals can resolve to buyer context. The campaign report becomes a list of warm individuals, not a vanity score.
Twenty named accounts. No clear answer to which one is moving. You decide by who replied to the last email.
Open the account, see the engagement timeline, get the next best action. Skip the guesswork, walk into the meeting prepared.
Renewals come up and you scramble for context. Was the account engaged this quarter? Did anyone flag risk?
The customer engagement layer reads every signal across your account base. Renewal risk, expansion intent, churn signal, surfaced before the QBR.
Demo runs on real market signals. The team building Signals walks the workspace with you. No slides. No sales funnel. A working instrument you can watch tick.
