The startup offers an AI-powered visual customer engagement platform that utilizes deep learning, big data, and proprietary computer vision algorithms to enhance customer support interactions. This technology enables call center agents to provide more effective service while lowering operational costs and increasing revenue.
Funding
$53.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many customer support interactions require visual information to accurately diagnose and resolve issues, but traditional methods lack the ability for agents to "see" the customer's problem in real-time. This leads to longer resolution times, increased costs, and lower customer satisfaction.
Solution
TechSee provides a visual customer engagement platform powered by computer vision and augmented reality (AR) to enhance remote support and self-service experiences. The platform enables contact center agents and field technicians to instantly see and understand the customer's situation through live video streams or uploaded images. By leveraging AI to recognize devices, components, and issues, TechSee delivers real-time guidance, automated troubleshooting, and visual validation, resulting in faster resolution times, reduced dispatch rates, and improved customer satisfaction. The platform integrates with existing CRM and FSM systems, creating a unified visual knowledge base and enabling seamless transitions between channels.
Target Audience
The primary target audience includes enterprises in telecommunications, consumer electronics, home security, smart home, manufacturing, and utilities industries that seek to improve customer support, reduce operational costs, and enhance customer satisfaction.
Features
- Live visual assistance using customer's smartphone camera, without requiring app downloads
- Computer vision AI to automatically identify devices, parts, and issues
- Augmented reality (AR) overlays to guide customers through troubleshooting steps
- Real-time decision support for agents with AI-powered knowledge base retrieval
- Visual self-service flows for automated issue resolution
- Mobile SDK for embedding visual sessions within native apps
- Integration with leading CRM and FSM systems (e.g., Salesforce, Oracle, Zendesk)
- Anomaly detection using image comparison to verify correct configurations
- Data anonymization to ensure customer privacy