For Facility Owners and Managers seeking to understand events within their buildings, Lauretta.io uses cameras to infer occupant activity, behavior, and intent.
Lauretta.io builds software that turns cameras and other sensors a buyer already owns into a shared physical data layer: computer vision resolves people, objects, and activity into persistent entities and situation-level context that holds across places and time. Retail operators, security teams, facility managers, and government screening and safety programs use that context to investigate events and act on changing conditions.
Where video-only analytics rivals such as Ambient.ai or Spot AI run detection and search on existing video feeds, Lauretta.io unifies multi-sensor observations on its Groundweave framework and co-designs purpose-built Instruments such as Delos and EnergyGuard around a customer's specific workflow. That places the company as a co-development partner for regulated physical-operations buyers rather than an off-the-shelf per-camera analytics vendor.
