Caic AI develops autonomous WhatsApp-native AI agents for intelligent commerce, enabling businesses to automate sales, support, and order resolution 24/7. The platform integrates directly with the official WhatsApp API, VTEX, and Tray Commerce, achieving over 90% autonomous resolution rates without middleware. It combines computer vision, contextual memory, and behavioral customization to deliver human-like, scalable customer interactions.
Funding
Funding not disclosed
Founders
Product
Problem
Retail businesses struggle to provide immediate, personalized customer service and sales support around the clock. Human teams are limited by working hours and repetitive tasks, causing delayed responses, lost sales opportunities, and increasing operational costs.
Solution
Caic AI provides autonomous AI agents natively integrated into WhatsApp that handle selling, customer service, and issue resolution end-to-end. The agents connect directly to the official WhatsApp API and major e-commerce platforms like VTEX and Tray Commerce, accessing catalogs, checkout, and order data without middleware. They operate 24/7 with over 90% autonomous resolution rates, learning from each interaction to continuously improve. The platform includes computer vision for image-based product search and contextual memory to deliver hyper-personalized conversations at scale.
Target Audience
Primary customers are e-commerce retailers and brands using WhatsApp Business API, particularly those operating on VTEX or Tray Commerce platforms, who need to scale customer service and sales without proportionally increasing team size.
Features
- Computer vision enables image-based product search directly within WhatsApp conversations
- Native integration with WhatsApp API Official, VTEX Commerce, and Tray Commerce without middleware or downtime
- Contextual memory and behavioral customization allow agents to communicate and sell with human-like nuance
- End-to-end autonomy for sales, support, and order resolution with 24/7 availability and no queue limits
- Operational analysis identifies repetitive tasks suitable for automation, averaging 90%+ autonomous resolution from day one
- Upcoming native audio understanding for enriched multimodal interactions