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Lauretta: Difference between revisions

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==Technology==
==Technology==
Lauretta.io's technology leverages AI analytics and continuous learning to provide deep operational insights and improve accuracy of the model. The system is plug-and-play to existing CCTV infrastructure, and protects privacy by focusing on movement, behavior, and intent
Lauretta.io's technology leverages AI analytics and continuous learning to provide deep operational insights and improve accuracy of the model. The system is plug-and-play to existing CCTV infrastructure, and protects privacy by focusing on movement, behavior, and intent.


==Traction==
==Traction==
The startup has >15 clients in over 4 countries, and has integrated over 700+ cameras into its' system.
The startup has >15 clients in over 4 countries, and has integrated over 700+ cameras into its' system<ref>{{Cite web |title=Lauretta.io |url=https://lauretta.io/ |access-date=2025-12-19 |website=lauretta.io |language=en-US}}</ref>.


== References ==
== References ==
{{Reflist}}
{{Reflist}}

Latest revision as of 08:04, 19 December 2025

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Lauretta.io uses existing cameras to infer occupant behaviour and intent that provides insights into Property, Facility, Retail & Security Management.

Technology

Lauretta.io's technology leverages AI analytics and continuous learning to provide deep operational insights and improve accuracy of the model. The system is plug-and-play to existing CCTV infrastructure, and protects privacy by focusing on movement, behavior, and intent.

Traction

The startup has >15 clients in over 4 countries, and has integrated over 700+ cameras into its' system[1].

References

  1. "Lauretta.io". lauretta.io. Retrieved 2025-12-19.