Gallabox is a conversational AI platform that helps businesses automate customer conversations and drive business growth through channels such as WhatsApp. Its core approach is to deploy AI agents on the channels customers already use, capture inquiries in real time, qualify intent, and move leads forward to appointments, payments, and repeat purchases.
Use cases Gallabox is used to solve the problem of lead loss caused by slow responses and missing follow-up. When a potential customer shows intent, the platform immediately starts a conversation, with no form to fill out or page to navigate to. Sales teams can take over qualified leads with full context, rather than cold leads.
Main capabilities Omnichannel AI agents: covering WhatsApp, Instagram, web chat, and voice, providing every customer with an instant first response, guided qualification, and a clear next step. Real-time lead capture: leads from clicking WhatsApp ads, links, or QR codes go directly into live chat; comments and direct messages receive instant replies, and interested customers can share their number for personalized follow-up on WhatsApp; web chat visitors are captured in real time and immediately engaged, qualified, and kept interacting by AI; incoming calls are answered, qualified, and routed by AI agents, making every call a lead. Sales-ready qualification: AI agents ask questions in natural conversation and assess intent in real time; AI voice agents can call leads, qualify them with natural voice, and provide full transcripts and lead scoring. Sales representatives take over already knowing intent, budget, timeline, and the full conversation history. Automated follow-up: when leads stop responding, configurable WhatsApp and AI voice follow-up sequences can be set up; personalized messages are sent to segmented lists, and replies automatically flow back; when human involvement is needed, there is instant escalation with full context. Appointments, payments, and confirmations: AI agents check availability, confirm appointments, and sync with calendars; send payment links, automatically confirm receipt of payment, and trigger the next step; complex deals are transferred to the best human agent with full history. Post-sale and retention: tag customers by behavior or purchase history, trigger personalized broadcasts and AI voice calls, and reactivate them before churn; common questions are resolved instantly 24/7, and complex issues are escalated with context; agents can view the full conversation history.
How to use it Connect channels, CRM, calendars, and payments without code. Build AI agents in natural language, without engineering complex prompts. Go live across channels within days, and test everything before launch. Continuously improve conversion by tracking results and optimizing in natural language. The platform can connect with existing CRM, payments, APIs, custom connectors, calendars, and marketing tools, so AI agentsstart working with full context.
Applicable scenarios In terms of industries, the platform serves real estate (from inquiry to viewing), healthcare (appointment journeys), automotive (vehicle requests), legal and professional consulting (licenses, jurisdictions, documents, renewals), finance (policies, loans, insurance conversations), and scenarios such as handling incoming calls through AI. In terms of roles, sales leaders, founders, and regional managers can take over already-qualified conversations; performance marketers, CMOs, and growth marketers can track the path from click to conversation, meeting, and deal; support leaders, CX managers, and operations staff can speed up resolution, improve retention, and reduce team burden.
Limitations The materials do not provide information such as specific pricing, free trials, supported platform details, specific commitments on time required to go live, data storage locations, or compliance certifications.
