Viso Now

Viso Now is a self-building AI vision platform that turns images, video, and camera feeds into working computer vision applications. Rather than assembling a machine learning pipeline from scratch, users describe in plain language what they want to understand in their footage, and Viso Now builds the agentic vision logic and the custom live dashboards to go with it. The website positions the product around a single promise: bring a new AI vision application to life. It is designed for anyone who can describe a problem, from individuals who want a vision agent running in minutes to enterprises that need governed vision intelligence across many sites and cameras. The problem Viso Now addresses is the cost and complexity that traditionally surrounds computer vision. Building a vision application normally means model training, image annotation, ML engineering and ongoing model maintenance, which puts bespoke vision projects out of reach for most operational teams. Viso's own messaging states that isolated solutions are no longer enough and that not all computer vision is equal: single-purpose tools lease one outcome for one use case, while Viso positions its platform around multiple use cases across multiple locations. The site argues for flexible solutions with a lower total cost of ownership, complete control of your data, and the ability to customise outcomes and hit KPIs, and for handling today's challenges while preparing for tomorrow's opportunities. The core of Viso Now is prompt-driven building. A user describes the real-world situation they want AI to solve in plain language, with no model training and no annotation needed, and watches as Viso builds the application with them in real time. The site describes this as starting from a prompt, testing instantly, and turning ideas into vision agents. An 'Ask Viso to create a camera agent' flow sits directly in the product interface, where users work alongside the builder and refine the application until they are happy with the finished solution. Viso describes the underlying capability as visual general intelligence that applies to any use case, which is why the same engine can be pointed at very different operational questions without rebuilding anything from the ground up. Supporting that building process is a template gallery. Viso Now shows ready-made templates including Task-Aware PPE Check, Excavator Near-Miss Monitor, Hot Work Safety Check, Work-at-Height Safety Check, Clinical PPE Protocol Check, GMP Hygiene Check, Loading Dock Exclusion Zone, Front Desk Wait Tracking, Restricted Site Vehicle Alert, Hazardous Area PPE Check, Pipeline Integrity Scout, Visible Release Detection, Robot Cell Intrusion Detection, Production Area Access Check, 5S Shop Floor Audit, Emergency Exit Clearance, Reversing Vehicle Danger Zone and MEWP Fall Protection Check. Further templates cover Dock Turnaround Intelligence, Check-in Queue Orchestrator, HSE Workplace Audit, Commercial Vehicle Safety Screening, Dump Zone Safety Inspector, Abandoned Luggage Response, Handling Risk Assessment and Service Queue Pressure Analysis. Users can also feed the system their own media by clicking to upload or dragging a video in, with MP4, MOV, MKV, PNG and JPG supported, by capturing a photo, or by recording video, and they can choose between Fast, Balanced and In-Depth analysis modes depending on how much detail the task needs. Once an application behaves as intended, the workflow moves to deployment. Users iterate on the app until they are satisfied with the finished solution, then connect cameras or upload connectors to start using it immediately. Viso handles the end-to-end infrastructure behind the scenes, covering compute, visual analysis, governance, authentication and integrations, so teams do not have to stitch those layers together themselves. The platform produces custom live dashboards as part of the build, which turn what the camera agent observes into something an operator can actually monitor and act on rather than raw detections. Viso Now's distinctive approach is that the application builds itself. The website frames this as 'Your idea, the vision app builds itself' and 'If you can describe it, you can build it.' Instead of choosing from a fixed catalogue of detection types, users state the outcome they want and the platform constructs the agentic vision logic around that outcome. Build, refine, go live is the entire loop, and the security and infrastructure concerns are handled by the platform rather than by the user. The site summarises the free tier as dropping any video, describing what to build, and getting a working vision application in minutes, with no labelling, no training and no big team required. Viso reports concrete outcomes on its website. A customer story from a global manufacturer states that the company replaced four point solutions with one Viso deployment and that, by month three, near-miss incidents were down 54%, with the safety team spending zero hours rebuilding models. The same page cites 24/7 eyes on every camera that never blink and never tire, 10x faster AI vision versus other methods, and 90% less ML engineering effort with no labelling and maintenance. Elsewhere the site claims a 10x faster understanding of visual data to drive efficiency, automation and innovation, and an 85% reduction in time-to-value of computer vision applications. For teams, the practical benefit is speed: ideas become running vision agents without a dedicated ML function, and the same deployment keeps working as requirements change. The template library also shows the concrete scenarios the product is used for. In construction, Task-Aware PPE Check, Excavator Near-Miss Monitor, Hot Work Safety Check, Work-at-Height Safety Check and MEWP Fall Protection Check address worker safety and site hazards. In oil, gas and energy, Pipeline Integrity Scout, Visible Release Detection, Restricted Site Vehicle Alert and Hazardous Area PPE Check cover asset inspection and restricted zones. In manufacturing, Robot Cell Intrusion Detection, Production Area Access Check and 5S Shop Floor Audit support safety, access control and lean audits. In logistics and warehousing, Loading Dock Exclusion Zone, Dock Turnaround Intelligence, Dump Zone Safety Inspector and HSE Workplace Audit assess dock performance and workplace safety. Healthcare, food and beverage templates such as Clinical PPE Protocol Check and GMP Hygiene Check cover protocol and hygiene compliance, while Front Desk Wait Tracking, Service Queue Pressure Analysis, Check-in Queue Orchestrator, Abandoned Luggage Response and Commercial Vehicle Safety Screening serve hospitality, public venues and transport environments. Two products sit on one platform. Viso Now is the free entry point, marked 'Free · No Credit Card', offering a free forever tier with the ability to invite your team, prompt-to-agent building in minutes, visual general intelligence for any use case, and seamless connection to other systems. Viso Suite is the enterprise option, described as the complete operating system for enterprise vision intelligence: connect every camera across every site, build governed applications, and operate agentic workflows at scale, with support for 10,000+ cameras and hundreds of sites, full lifecycle from build to deploy to govern to scale, edge AI with on-prem or cloud support, and compliance with SOC 2, ISO 27001, GDPR and CCPA. Viso also states it is trusted by Fortune 500 companies and lists 136+ applications tuned for every industry. Viso Now's value proposition is straightforward: describe the real-world situation you want AI to solve, and the platform builds, refines and runs the vision application for you. No model training, no annotation, no code writing, and no large team, but with the same platform able to scale into governed enterprise deployments across thousands of cameras. It turns any camera into an analyst that can detect, inspect, alert and understand what is happening in the physical world.