TechSee
AR collaboration tools
Help desk software
Customer self-service software
Remote video support software
Remote support software
Augmented reality software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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What is TechSee
TechSee is a remote visual support platform that uses live video, augmented reality annotations, and computer vision to help service teams troubleshoot customer issues. It is used by contact centers and field service organizations to guide customers or technicians through diagnostics and repairs on devices and in-home equipment. The product supports agent-assisted sessions and self-service visual flows, with options to integrate into existing customer support and CRM environments. It emphasizes visual understanding of the customer environment (for example, device recognition and guided steps) to reduce reliance on phone-only troubleshooting.
AR guidance during live video
TechSee supports real-time video sessions with on-screen AR overlays and annotations to direct a customer’s actions. This fits common remote assistance scenarios such as appliance troubleshooting, device setup, and connectivity issues. Compared with basic video calling approaches, AR cues can reduce ambiguity when describing parts, buttons, or cabling. The workflow aligns with contact-center handling where an agent needs to guide a non-technical end user.
Computer vision for issue triage
TechSee includes visual AI/computer-vision capabilities intended to recognize devices or interpret what the camera sees and then route users to relevant guidance. This can help standardize troubleshooting steps and reduce dependence on agent expertise for repetitive issues. It also supports faster identification of the correct model or component when customers cannot provide accurate details. These capabilities differentiate it from tools that focus primarily on manual AR annotation.
Designed for support operations
The platform is positioned for customer support organizations, with features oriented to case handling and guided resolution rather than only expert-to-expert collaboration. It can be deployed for agent-assisted support and for customer self-service visual journeys, which helps cover multiple tiers of support. The product focus matches high-volume service environments where reducing handle time and repeat contacts is a priority. It is commonly evaluated alongside remote assistance tools used in contact centers and service organizations.
Integration effort varies by stack
Connecting visual support sessions to existing help desk, CRM, identity, and knowledge systems typically requires configuration and sometimes custom integration work. The depth of out-of-the-box connectors may not match every enterprise’s toolchain. Organizations often need to plan for data mapping (cases, customers, session metadata) and security reviews. This can extend time-to-value compared with standalone tools.
Performance depends on end-user conditions
Session quality and the effectiveness of AR guidance depend on customer device capabilities, camera quality, lighting, and network bandwidth. In low-connectivity environments, video latency or drops can reduce the usefulness of real-time annotations. Some use cases also require customers to hold the camera steady or position it precisely, which can be difficult without accessories. These constraints are common across remote video support solutions but still affect adoption and outcomes.
AI guidance needs ongoing tuning
Computer-vision and guided flows typically require ongoing content maintenance to stay accurate as device models, UI screens, and procedures change. False recognitions or incomplete coverage can lead to user frustration and escalation to an agent. Organizations may need internal processes to update visual models, decision trees, and knowledge content. This operational overhead can be higher than with purely manual remote assistance.
Seller details
TechSee Augmented Vision Ltd.
Tel Aviv, Israel
2015
Private
https://www.techsee.me/
https://x.com/TechSeeMe
https://www.linkedin.com/company/techsee/
