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SAN FRANCISCO, CA, October 3, 2026 — ZUUZ AI today announced the launch of its next-generation lead scoring software, a platform built to help business-to-business companies decide which prospects deserve a salesperson's time and which ones need more nurturing first. The product is available to customers worldwide starting today.Sales teams have long faced the same quiet problem. Marketing delivers a long list of contacts, and reps are left to guess which ones are serious. Many fall back on gut feeling or simple point systems, such as ten points for opening an email and twenty for visiting a pricing page. Those systems are easy to set up, but they age badly. Buyer habits change, and a score that made sense last spring can mislead a team by autumn.
The new platform takes a different route. Instead of relying on fixed point values that someone set once and forgot, it studies how past customers actually behaved before they bought and compares current prospects against those patterns. The result is a ranked list that updates as new activity comes in, so a rep opening the dashboard on Monday morning sees who is warming up and who has gone cold.
Built Around the Way Sales Teams Actually Work
The company spent more than a year speaking with sales managers, revenue operations leads, and founders of growing software and services firms before writing a single line of the final product. Three complaints came up again and again: scores nobody trusted, tools that took months to set up, and dashboards that told reps what had happened rather than what to do next.
The release addresses each of those points directly.
Behavior-based ranking. Prospects are ranked on signals that have historically led to closed deals in a customer's own pipeline, including page visits, content downloads, reply timing, meeting activity, and company size.
Plain-language reasons. Every score comes with a short explanation, such as "visited pricing twice this week and matches the profile of your last six closed accounts." Reps can see why a contact ranks high instead of taking a number on faith.
Fast setup. Most teams can connect their customer database and email tools in an afternoon. The platform begins learning from existing records immediately, so teams do not need months of fresh data before seeing useful results.
Shared view for sales and marketing. Both departments work from the same ranking, which reduces the familiar argument over what counts as a qualified contact.
Alerts that matter. Reps are notified when a high-fit prospect shows sudden interest, such as returning to the site after weeks of silence, rather than being flooded with notifications for every click.
Privacy controls. Administrators decide which data sources feed the model, and customer records are never combined with those of other companies.
A Quote From the Company
"We kept hearing the same sentence in interviews: 'I just want to know who to call first,'" said Daniel Hartwell, chief executive officer of the company. "That is a simple request, and most software makes it hard to answer. We built this release to give a busy rep a clear, honest list and a reason behind every name on it. If a person can't explain why a prospect ranks high, they will not act on it, and then the tool is just decoration."
Early Results From Pilot Customers
Before the public release, the company ran a four-month pilot with a group of B2B firms in software, logistics, professional services, and industrial supply. Participating teams ranged from a six-person sales group to a department of more than sixty.
Pilot customers reported that reps spent noticeably less time on contacts who never replied, and several managers said weekly pipeline meetings became shorter because the team already agreed on which deals deserved attention. One revenue operations lead at a mid-sized logistics firm described the change as moving from "debating the list" to "working the list."
The company notes that results vary by industry, deal size, and data quality, and it encourages prospective customers to test the platform against their own records before making a decision.
Who the Product Is For
The platform is designed for B2B companies with a sales cycle of weeks or months, where several people at a target company may be involved in a purchase. It suits growing firms that have outgrown spreadsheets and basic customer-database rules but do not have a data science team to build custom models.
Typical users include sales development reps, account executives, marketing managers, and revenue operations professionals. The interface is deliberately plain. Users can sort, filter, and export rankings without training, and a short onboarding guide covers the rest.
Availability and Pricing
The software is available today through the company's website. New customers can start with a 14-day free trial that requires no credit card. Paid plans are priced per team, not per contact, so a growing database does not automatically raise the monthly cost. The platform connects with major customer relationship management systems, email marketing tools, and web analytics services, and the company says additional integrations are planned for the first half of next year.
Customer support is available by chat and email on weekdays, and every new account receives a one-hour setup session with a member of the onboarding team at no extra charge.
Looking Ahead
The company plans to expand the platform over the coming year with account-level views, which will help teams track interest across several contacts at the same business, and with forecasting tools that estimate how much revenue a current pipeline is likely to produce.
"Our goal is not to replace the judgment of a good salesperson," Hartwell added. "It is to give that person better information, earlier, so their judgment is spent on conversations instead of sorting through names."
About the Company
Founded in San Francisco, the company builds software that helps business-to-business teams find, rank, and follow up with the buyers most likely to become customers. Its tools are used by sales and marketing teams across North America and Europe, and its guiding principle is simple: software should explain itself, save time, and stay out of the way.
Media Contact
ZUUZ AI
Email: contact@zuuz.ai
Website: https://zuuz.ai/
Location: San Francisco, CA