Cellebrite launches AI investigative nerve centre

Cellebrite launches AI investigative nerve centre

Cellebrite has launched a collaborative AI investigations management platform globally. Guardian Investigate is aimed at helping agencies coordinate evidence, tasks, and oversight across high-pressure cases.


The software is designed to help investigators work directly across evidence files, ask questions of the material, surface connections, build timelines, and progress tasks concurrently while preserving oversight and chain of custody. Cellebrite said the platform brings together agentic AI, advanced analytics, and centralised investigative management, aiming to reduce the delays that arise when digital evidence is spread across documents, images, mobile data, call records, and other evidential material.

The company is pitching the product at organisations dealing with major incidents, officer-involved shootings, mass casualty events, and wider large-scale criminal investigations, where the speed and quality of early case decisions can shape the rest of the process. Cellebrite also cited pilot work with the Brazoria County Sheriff’s Office in Texas, where investigators are using the system to manage active cases, remote tasks, and live case dashboards. In a separate Internet Crimes Against Children investigation, the company said analysts have been able to create operational intelligence packages in hours rather than months.

Thomas E. Hogan, chief executive officer at Cellebrite, said: “When the news trucks are circling and decisions in the first hours shape the entire investigation, teams need a solution that gives them instant visibility and organization. Guardian Investigate empowers investigators to work their cases live, not just review what others prepared, and gives agency leaders real-time oversight across every unit involved. When investigators build stronger cases faster and prosecutors receive more complete evidence packages, the entire justice process accelerates.”

The release reflects a wider push to apply AI to workflow-intensive parts of casework rather than only to isolated evidence analysis. In that model, the value proposition is less about a single insight and more about how quickly teams can coordinate evidence, actions, and narrative building without breaking procedural safeguards.



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