Make outbound feel like inbound - with AI.
Pocus is an AI sales platform that ingests a company's internal data (call recordings, CRM records, emails, product usage) alongside external signals and turns it into prescriptive guidance: which accounts a rep should work, who to contact, and what to say. Its stated design principle is opinionated direction rather than more signal - the vendor's own framing of the problem is reps drowning in feeds from ten-plus tools with no ranking.
Status: The service itself was live and operating normally at check time. Treat the standalone product's future as an open question and confirm contract terms with the vendor.
Pocus sits above the tools a revenue team already runs rather than replacing any of them: it reads the CRM, the calls and the product telemetry, scores and ranks accounts against a company profile you configure, and hands reps a ranked next action. The documentation makes the shape clear - a Company Profile that you fill in to "make Pocus AI smarter", Playbooks with triggers to encode the motion, and delivery surfaces (Inbox, Chrome extension, alerts, generated emails routed to your SEP) rather than a place reps live all day.
B2B revenue teams with enough internal data to be worth reasoning over - product usage telemetry, a populated CRM, recorded calls - and enough reps that account prioritisation is a real cost. The product's value proposition depends on having signal to rank, not on generating leads from nothing.
Pocus is now closed to new self-serve customers: the site's only signup path at check time was "Join Waitlist", alongside an announcement that Pocus is joining Apollo. Anyone evaluating today is evaluating a product whose independent future is unclear. Setting that aside, the product is a poor fit for teams without the inputs it runs on - the vendor names call recordings, CRM data, emails and product usage as "the most robust source of intent", so a team with a thin CRM and no product telemetry is buying a reasoning layer with little to reason about. There is also no public pricing and no public API documentation, so cost and integration effort cannot be assessed from outside.
No curated rival set covers this tool yet, so these are simply other tools in the same architectural layer and product form. Treat it as a starting point, not a shortlist.
The product, docs and status page were live at check time, and the status page showed all components operating normally. We retrieved no statement about what happens to standalone Pocus contracts or the roadmap.
Not self-serve.
The vendor names internal data as its most robust intent source: call recordings, CRM data, emails and product usage. External signals (10-Ks, podcasts, news, job postings, topic intent, job switchers, de-anonymised web visits) are layered on top.
Pocus frames itself against signal vendors explicitly - its stated problem is reps "drowning in signals from 10+ tools but starving for insights", and its stated output is "opinionated guidance, not more signals": which accounts to work, who to call, what to say. Whether it delivers on that is not something we tested.
The documented surfaces are an Inbox of top leads, AI Alerts, an AI Strategy tab, a Chrome extension that generates account strategies in-browser, and generated emails that can be sent automatically to your sales-engagement platform.
No figures are recorded here.
We did not find documentation for either. That is a gap in our evidence, not proof of absence - ask the vendor.
Mixed. The "What is Pocus?" overview carried an "Updated about 1 year ago" stamp at check time, while the docs index lists a broad and recent-looking set of AI feature guides. Read the feature pages rather than the overview.
This page tells you whether Pocus fits. Cheetah builds and runs the system it goes into — enrichment, sequencing, CRM and the joins between them.
Book a call →The directory stays free. There is nothing gated behind this.