We're TechSee.
This is Our Story.

Homes are getting smarter thanks to the rapid growth of the Internet of things (IoT). Yet the acquisition of more smart technology means that consumers need to spend more time installing, activating, maintaining, and repairing IoT devices and applications. They want to take care of all this themselves, but when they need assistance, they expect instant solutions.

Due to this increase in quantity and complexity, enterprises are looking for a long-term scalable solution that enables them to give customers what they want now and in the future.
We founded TechSee to help businesses provide the simple self-service and fast, effective care that customers require, and meet the unique demands of technical support from all perspectives: customers, contact center agents, field technicians, and self-service channels. Over two decades of experience across customer experience technologies, visual computing, augmented reality, and big data enables us to follow through on this commitment.

We know that showing is more effective than telling. So we built TechSee to deliver interactive visual tech support across all channels. This increases self-service, shortens support interactions, reduces requirements for repairs in the field, and improves the effectiveness of tech support portals.
We also believe that knowledge is the key to success. We provide our customers with best practices methodology to integrate TechSee into their tech support workflows and optimize their customer service operations.

In their endeavors to improve customer service KPIs, enterprises are realizing that traditional tech support models are costly. This observation led us to develop and deliver a game-changing, cost-effective remote visual support platform that’s driving these numbers up from fractions to double digits, with no trade-offs. Enterprises that have implemented our platform into their tech support workflows are reporting solid ROI, saving millions in operating costs, providing a superior customer experience, and empowering agents to see and resolve technical issues themselves.

We’re taking tech support into the future and simplifying consumer experiences with complex technology in their homes. To achieve these ambitious goals, we’re combining advanced research in deep learning and computer vision with our observations of the evolving needs and expectations of the customer care domain. As a result, we have developed technology that learns from customer support interactions and human experts; over time, this knowledge will help automate the support and allow for full self-service.