Fuse AI is positioned as a sales superintelligence platform for modern revenue teams, helping teams find the right prospects, automate outreach, discover buyer signals, and close more deals through AI agents. Materials show that Fuse is now available in Claude, giving Claude the ability to automate sales workflows across organizations; users can also connect via MCP (https://mcp.fuseai.com）在终端使用，只需登录即可。
In terms of main capabilities: the first is prospect discovery and data enrichment, which can find ideal customer profiles (ICP) across more than 850 million contacts and more than 40 million companies, and enrich data with over 90% accuracy through more than 40 data providers. The platform continuously verifies and updates data, reducing the time teams spend fixing outdated information. The second is multi-channel engagement, which can automate personalized outreach at scale across email, LinkedIn, and phone, nurture prospects, and book demos. The third is signals and account intelligence, which identifies purchase intent at target accounts by tracking more than 50 real-time signals such as website visits, network activity, and competitor engagement. The fourth is workflow automation, helping teams create triggers and define conditions without complex setup or technical expertise to automate repetitive tasks such as prospect discovery, data enrichment, CRM updates, and outreach. There is also Agentic Search, which performs intelligent search based on intent, context, and important signals, going beyond simple keywords to help build target customer lists.
Applicable scenarios include: roles such as sales representatives, founders, revenue operations (RevOps), and GTM engineers using AI agents to find, qualify, and engage high-intent customers in the market; sales and marketing professionals using it to improve data accuracy, deliverability, signal quality, and automation. Materials state that it is used by more than 1,000 startups and enterprises worldwide, and can openly replace point solutions by design or integrate and coexist with existing tool stacks.
In terms of security and enterprise features: it provides fine-grained permissions to control who can build, run, and connect what; sets the scope agents can reach and which actions require human approval first; manages company-wide agent behavior from a single location; provides usage and spend visibility for each agent and each team; each agent uses an isolated cloud environment; new models can be used immediately after release without migrating to a new AI application; has independently audited security controls; complies with EU data rights and processes personal data in accordance with the law; supports California consumer privacy access and deletion requests; and adopts a security framework managed by the App Defense Alliance (ADA).
Limitations and information not provided: the materials do not specify details such as specific charging methods, pricing, free quota, registration thresholds, supported languages, a complete list of specific integrations, or data retention periods; this content has not yet been provided.
