Point a phone at a broken device. TechSee's Sophie AI recognizes it, spots the problem, and walks you to the fix - no hold music, no truck roll.
Most customer service is blind. An agent asks you to describe what you're seeing; you fumble for words about a blinking light or a cable you can't name. TechSee's entire business is built on removing that guesswork - by letting the machine see the device for itself.
Founded in Israel in 2015 by CX and computer-vision veterans Eitan Cohen, Amir Yoffe and Gabby Sarusi, TechSee builds software that turns a smartphone camera into a diagnostic tool. A customer holds up their phone to a modem, a meter or a home appliance; the company's Sophie AI platform recognizes the model, reads the visual cues and guides a step-by-step resolution.
The founding idea is stated plainly on the company's own wall: "The best way to make knowledge accessible is simply by showing, rather than telling." That sentence - show, don't tell - is the whole product thesis. Expert knowledge that used to live in a technician's head becomes something a camera and a model can deliver on demand.
The work sits at the intersection of three technologies that rarely meet: computer vision to identify the device, augmented reality to annotate a live video feed, and multimodal generative AI to reason about the fault and explain the fix. TechSee has spent a decade stitching them into one loop.
The payoff enterprises care about is unglamorous but expensive to ignore: fewer field visits, shorter calls, and problems solved on the first contact instead of the third.
"We founded TechSee to simplify the way that people deal with technology and make any product easy to use and free from friction."
The customer opens a browser-based visual session - no app download - and points the phone at the device.
Computer vision identifies the exact model and reads the visual state: lights, cables, error codes, wear.
Sophie AI diagnoses the likely fault and drafts a resolution, drawing on models trained on real support cases.
AR overlays annotate the live video, walking the customer - or the agent - through the fix step by step.
The flagship visual agentic AI platform. Combines computer vision, multimodal generative AI and augmented reality to understand a device or environment and guide resolution across every channel.
An AI virtual agent that recognizes products through the camera and runs customers through visual self-service flows, integrated with CRM and existing self-help journeys.
An intelligent remote visual assistant for the hardest, most costly calls. Its visual Agent Assist recognizes devices during live interactions and surfaces proposed resolutions to human reps.
AR-powered remote assistance that lets agents and field technicians see exactly what the customer sees and annotate the live feed with augmented-reality guidance.
TechSee sells to large enterprise contact centers and field-service teams - the organizations that run millions of support interactions and feel every avoidable one on the balance sheet.
The strongest concentration is in telecommunications, where a single avoided "truck roll" - a technician dispatched in a van - can pay for a lot of software. From there the same playbook extends into consumer electronics, utilities, insurance and smart home, wherever a customer holds a physical device that can misbehave.
A telling signal of product-market fit: several of TechSee's largest customers also became investors. Salesforce Ventures and TELUS Ventures both backed the company, the kind of endorsement that only comes after a tool has already earned its place in the call center.
Plenty of vendors offer video-support tools, and plenty more sell AI agents that read your text. TechSee's wager is that the two only matter when combined: an AI that can actually look at your problem, then act on it.
The moat isn't the algorithm - it's the data. Sophie AI is trained on real support interactions, so it learns to recognize the actual routers, meters and appliances customers own, not textbook diagrams.
Against remote-assistance rivals such as Streem, Blitzz, Help Lightning and Librestream, TechSee's differentiation is the full loop: see, recognize, reason, guide - delivered where agents already work rather than as a bolt-on video window. Its 2025 native integration into ServiceNow is the clearest expression of that strategy: don't make users leave their workflow, bring the visual AI to them.
Figures reflect publicly reported rounds. Revenue estimates (~$37.7M annually) are third-party and not company-confirmed.
Eitan Cohen, Amir Yoffe and Gabby Sarusi launch the company to bring visual communication to remote support.
An early AR platform lets agents and technicians see what customers see and annotate live video.
Recognition arrives as patented browser-based visual service gains enterprise traction.
OurCrowd, Salesforce Ventures and TELUS Ventures co-lead the round; the AR industry honors Best Use of AI.
Computer vision, generative AI and AR unify into a single visual agentic platform.
Sophie AI is embedded natively in ServiceNow and rolled out to BrightContact's contact centers.
Integrated Visual AI adds a visual Agent Assist aimed at complex, high-cost live interactions.
"The best way to make knowledge accessible is simply by showing, rather than telling."
It provides visual AI and augmented-reality software so customers and technicians can use a smartphone camera to let its Sophie AI recognize a device, diagnose the issue and guide a step-by-step fix - as self-service or to assist a human agent.
It was founded in 2015 in Israel by Eitan Cohen (CEO), Amir Yoffe (COO) and Gabby Sarusi.
Large enterprises in telecom, consumer electronics, utilities and insurance - including Verizon, Vodafone, Orange, Liberty Global, BT, Sky and Telus.
Tens of millions of dollars, including a $30M Series C in October 2020 co-led by OurCrowd, Salesforce Ventures and TELUS Ventures.
Sophie AI is TechSee's visual agentic AI platform combining computer vision, multimodal generative AI and AR to see a customer's problem and guide the resolution across virtual agents, agent assist and field service.