Lauretta.io

What it is

Lauretta.io is an AI-powered video analytics platform that turns existing security cameras into intelligent sensors. It runs computer vision models on your camera feeds to detect people, objects, and events in real time, delivering actionable insights and predictive alerts without requiring new hardware or replacing infrastructure already in place. The platform is built for the practical constraint that most facilities already have cameras deployed — they just cannot see what those cameras actually know. Lauretta processes video streams from existing camera systems and applies trained models to detect specific behaviors, conditions, and anomalies that matter to the business. For retail operators, this might mean dwell time analysis, queue length detection, or shrinkage patterns. For industrial facilities, it might mean safety compliance monitoring, equipment proximity alerts, or unauthorized area access detection. The intelligence runs on top of the existing camera network without requiring new sensors or infrastructure investment. The business case is grounded in asset utilization: companies have already paid for camera hardware, installation, and monitoring infrastructure. Lauretta multiplies the value of that existing investment by converting passive recording into active, actionable intelligence — transforming a cost center into a source of operational insight that drives measurable business outcomes.

Who it's for

Retail operators, facility managers, and industrial safety directors at companies with existing camera infrastructure who want actionable intelligence from their video feeds without replacing hardware or funding a new sensor deployment. Particularly strong for multi-location operators where manual monitoring is cost-prohibitive and automated detection creates leverage at scale.

Why it's better

• •Works with existing camera infrastructure rather than requiring new hardware — so the ROI calculation starts from a base of near-zero additional capital expenditure.
• •Computer vision models are tuned for specific business use cases — retail traffic patterns, safety compliance, queue management — rather than being generic detection tools that require significant configuration.
• •Real-time alerting surfaces actionable events as they happen rather than requiring someone to review hours of footage after an incident has already occurred.
• •Predictive analytics identify patterns across time and locations that human monitors would miss — surfacing systemic issues rather than one-off incidents.
• •Multi-location operators get unified intelligence across all facilities from a single platform, which makes pattern identification and operational comparison across sites actually tractable.
• •The platform converts a security cost center into a source of operational data that informs staffing, layout, safety, and customer experience decisions across the business.