TechSee

High-Level Overview

TechSee is a portfolio company that builds an AI-powered visual assistance platform using computer vision, augmented reality (AR), and multimodal AI to enhance customer experience (CX) in support and service operations.[1][2][3][5] It serves enterprises in sectors like telecom, consumer electronics, manufacturing, utilities, insurance, retail, medical devices, and BPOs, solving the problem of inefficient remote diagnostics by enabling agents and customers to "see" issues via mobile devices for faster resolutions, reduced costs, and higher satisfaction.[1][3][4][5] Key metrics include over 25% boost in first-time fixes, 20% reduction in technician dispatches, 40% shorter handling times, and 30-point NPS lifts, with deployment across 53 countries and 2 million monthly interactions.[3][5]

Founded in 2015 in Herzeliya, Israel (with offices in New York, London, Madrid, and Tel Aviv), TechSee powers solutions like Sophie AI—a generative AI hybrid for virtual agents that see, hear, and guide users—and integrates with Salesforce, Zendesk, ServiceNow, SAP, and Oracle.[2][4][5][8]

Origin Story

TechSee was founded in 2015 in Herzeliya, Israel, by industry veterans with over two decades of experience in CX technologies, visual computing, AR, and Big Data, aiming to simplify technology interactions and eliminate friction in product usage.[1][6][8] The idea emerged from recognizing the gap in remote support, where poor connectivity frustrates CX; founders sought to empower service reps and technicians to share visual expertise via smartphones.[6][7] Early traction came from patented browser-based tech for contactless service, earning Gartner’s “Cool Vendor” in 2018, Accenture Innovation Award, AI Breakthrough Awards, Fast Company Most Innovative recognition, and a 2020 Auggie Award for Best Use of AI, alongside a $30M Series D round with Salesforce investment.[3][4]

Core Differentiators

• Patented Computer Vision AI: Analyzes visual data to instantly recognize devices, issues, and environments, automating diagnostics and creating visual libraries for shared knowledge—far beyond text or voice support.[1][3][4]
• AR-Powered Guidance: Delivers real-time annotations, measurements, object tracking, and step-by-step instructions via web, mobile, or integrations, enabling self-service or agent-assisted fixes.[4][5][7]
• Sophie AI and Multimodal Capabilities: Hybrid generative AI that sees, hears, understands, and guides like humans, boosting efficiency in contact centers and field services with proven ROI like 70%+ automation potential.[2][5]
• Enterprise-Grade Integrations and Scale: Seamless with major CRMs (Salesforce, Zendesk), AWS-hosted for security/GDPR compliance, used by brands like Vodafone, Orange, Amdocs, and Comdata across 53 countries.[4][5][7]

Role in the Broader Tech Landscape

TechSee rides the wave of agentic AI and visual CX transformation, where multimodal AI (vision + voice + generative models) shifts support from reactive calls to proactive, visual automation amid rising remote work and e-commerce demands.[2][5] Timing aligns with post-pandemic contactless service needs and AR/AI maturity, fueled by smartphone ubiquity and cloud scalability on AWS.[3][7][8] Market forces like labor shortages in support, escalating CX expectations, and AI cost reductions favor it, positioning TechSee to influence ecosystems by setting standards for visual agents—much like Zoom did for video—enhancing digital transformations for telcos and manufacturers.[1][6]

Quick Take & Future Outlook

TechSee is poised to dominate visual agentic AI as Sophie evolves with generative advancements, expanding self-service and app-embedded vision for proactive CX. Trends like edge AI, 5G/6G for real-time AR, and regulatory pushes for efficient service will accelerate adoption, potentially doubling enterprise penetration. Its influence may grow via deeper partnerships (e.g., Amdocs, Salesforce) and global scaling, redefining support from cost centers to revenue drivers—echoing its founding mission to make tech frictionless.[2][4][5][6]