Zube provides AI-powered employees that handle customer enquiries, follow-ups, and next-step actions for businesses. The platform learns a company's processes and connects to existing systems, allowing teams to manage AI workers without technical configuration. Zube's AI agents operate across calls, chats, and email, with a typical first iteration deployed in about two hours.
Funding
Funding not disclosed
Founders
Product
Problem
Businesses struggle to keep up with customer enquiries across multiple channels, often leaving leads waiting for replies and follow-ups trapped in spreadsheets. Customer context is scattered across different tools, creating operational overhead that requires additional headcount to manage. This results in missed opportunities and systems that fall out of date.
Solution
Zube provides AI employees that are managed like team members rather than configured like software platforms. The AI learns a business's role, studies its processes, and connects to the CRM, messaging channels, booking engine, and other systems needed to handle enquiries end-to-end. Zube's team handles the technical implementation, including role specification, integrations, behavior design, and testing, while the customer's team provides business judgment and feedback. The AI can read, respond, qualify, book, update, and escalate across calls, chats, and email, with behavioral improvements typically implemented within five hours of a request.
Target Audience
Primary customers are leasing operators, residency businesses, and other service-oriented companies that handle high volumes of customer enquiries and need to add capacity without increasing operational overhead.
Features
- AI employees that handle the full enquiry lifecycle from first contact through qualification and next-step actions
- Integration with existing business systems including CRM, messaging channels, booking engines, and property management systems via OAuth where available
- Voice call handling with call recording and transcription, with recordings retained for 60 days and encrypted using AES-256
- Plain-language priority setting for ongoing improvements, with behavior updates typically delivered within 5 hours
- Deployment process requiring only 1–2 hours of information sharing from 2–3 employees to reach a first iteration
- Average response time under 7 minutes through customer group chat channels