Officers lost days manually sifting records. Now, they search 6TB of data at the crime scene in minutes.
A Brazilian public security organization responsible for a district of over 3 million inhabitants, managing databases containing billions of documents, photos, and digital records.
Officers previously spent hours or days manually searching through these records to identify suspects, taking critical time away from active...
“Prior to leveraging Elasticsearch in the organization, officers were spending hours or days searching through our database, which was taking time away from preventing crime and safeguarding citizens. So we wanted to get the search down to a matter of minutes or seconds.”
Civil law enforcement and criminal investigation agency for the Brazilian Federal District.
Search AI platform for enterprise search, observability, and security solutions.
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Teams spent days manually hunting logs across systems. Now, they use natural language to query data and resolve incidents in minutes.
Keyword search choked on 500k files. Switching to vector embeddings now scales detection to 250M audio fingerprints in real time.
Legacy keyword search failed on typos and vague queries. Now, semantic AI interprets natural language and images to find exact items.
Manual maintenance stalled the data director. A 9B-vector engine automated stability, freeing the team to scale scanning operations.
Rigid search rules forced endless manual tagging sprints. Now, ML classifies products at ingestion to match natural shopper language.
Staff manually cross-checked hundreds of pages. Agents now synthesize technical files to draft environmental analyses.
Auditors spent 10 months reviewing boxes of invoices. AI now reconciles the data in hours, freeing staff to investigate anomalies.
Without video, managers couldn't refute false claims or spot phone use. Now, AI dashcams flag risky habits to guide driver coaching.
Siloed data left procurement reactive. A unified model now forecasts raw material prices with 96% accuracy, optimizing inventory.
Officers lost days manually sifting records. Now, they search 6TB of data at the crime scene in minutes.
A Brazilian public security organization responsible for a district of over 3 million inhabitants, managing databases containing billions of documents, photos, and digital records.
Officers previously spent hours or days manually searching through these records to identify suspects, taking critical time away from active...
“Prior to leveraging Elasticsearch in the organization, officers were spending hours or days searching through our database, which was taking time away from preventing crime and safeguarding citizens. So we wanted to get the search down to a matter of minutes or seconds.”
Civil law enforcement and criminal investigation agency for the Brazilian Federal District.
Search AI platform for enterprise search, observability, and security solutions.
Related implementations across industries and use cases
Teams spent days manually hunting logs across systems. Now, they use natural language to query data and resolve incidents in minutes.
Keyword search choked on 500k files. Switching to vector embeddings now scales detection to 250M audio fingerprints in real time.
Legacy keyword search failed on typos and vague queries. Now, semantic AI interprets natural language and images to find exact items.
Manual maintenance stalled the data director. A 9B-vector engine automated stability, freeing the team to scale scanning operations.
Rigid search rules forced endless manual tagging sprints. Now, ML classifies products at ingestion to match natural shopper language.
Staff manually cross-checked hundreds of pages. Agents now synthesize technical files to draft environmental analyses.
Auditors spent 10 months reviewing boxes of invoices. AI now reconciles the data in hours, freeing staff to investigate anomalies.
Without video, managers couldn't refute false claims or spot phone use. Now, AI dashcams flag risky habits to guide driver coaching.
Siloed data left procurement reactive. A unified model now forecasts raw material prices with 96% accuracy, optimizing inventory.