Visionify

Visionify develops an AI-powered safety intelligence platform that applies computer vision to video feeds from a facility's existing IP cameras to detect workplace hazards, PPE non-compliance and unsafe behaviors in real time. The product covers PPE compliance (hard hats, vests, goggles, gloves, safety boots, face masks, hearing protection, with more than 15 PPE types detected), hazard detection, behavioral safety, near-miss detection and safety analytics, offered as a library of over 50 pre-built safety events including zone monitoring and fire and smoke detection. Alerts are delivered in real time and aggregated into dashboards that track leading indicators such as near-miss trends and continuous compliance status across sites.

The system is deployed as a combination of an on-premises edge server and cloud services. The edge appliance runs AI inference locally on up to 10 cameras at once; specifications cited by the company include an Intel Core i7-class processor, an NVIDIA RTX A4000-class GPU, 32GB DDR4 memory, a 1TB NVMe SSD and gigabit Ethernet/Wi-Fi 6 connectivity. Only event metadata is sent to the cloud, which handles storage of video clips, reporting, notifications and web and mobile dashboard access; the cloud tier can be hosted by the customer or by Visionify. Privacy measures include local processing, obfuscation of faces, text and signage in stored images and video, and customer-specific model training. The company states SOC 2 Type II and GDPR compliance.

Cameras are integrated via RTSP streams and the platform is described as compatible with Hikvision, Dahua, Axis, Bosch and 500+ other IP camera makes, as well as existing VMS and NVR setups. Implementation follows a demo-and-order, edge server delivery, onboarding, training and go-live sequence, with full deployment stated to take two to three weeks. Visionify can also supply and install cameras where a customer has none.

Founding story

The company describes being founded by practitioners with backgrounds in computer vision and safety protocols, starting from the question of how AI could prevent workplace accidents before they occur [4].

Business model

B2B software sold to industrial employers, with a hardware edge-server component and cloud services. Published plans include a Core package limited to up to three scenarios and an Enterprise package adding SSO, single-tenant and on-premise deployment and an enterprise SLA, both priced by contact with sales; a separate product, Ergovision, has a free tier with 10 free runs. Pricing is quoted based on the number of cameras, the industry and the number of AI safety events, with on-premise, hybrid SaaS and enterprise SaaS deployment options [5].

Custom-quoted subscription packages scaled by camera count, industry and number of AI safety events, alongside free and enterprise tiers [5].

Traction

The company cites customer-reported outcomes including a 72% reduction in safety incidents within six months at a manufacturing site, a 95% reduction in unintended spills and leaks from pumps at a resin production facility, 86% fewer forklift-pedestrian near-misses in petrochemical operations, and sub-two-second response times for real-time speaker alerts in electronics manufacturing. Review counts of 12 and 20, each with a 5.0 rating, are displayed on the site [0][2][4].

Latest developments

Published pricing plans were listed as checked in September 2026, and public code repositories show commits through August 2026 [3][5].