Normalized claim
Images processed: 10,000,000,000 images
Processed 10 billion images in 12 months
Valiance (India) built an AI-powered video intelligence suite on Google Cloud to improve wildlife conservation and civic safety. The platform turns large CCTV and video streams into real-time incident intelligence for public-sector operators. Its flagship products, Wildlife Eye and CivicEye, use custom computer vision models, multimodal data fusion, and intelligent alerting. CivicEye also lets officers query video footage in natural language through Google AI capabilities.
Reported outcomes
10,000,000,000 images
images processedOther quantified impact
Strategic outcomes
Normalized claim
Images processed: 10,000,000,000 images
Processed 10 billion images in 12 months
Normalized claim
Incident detections: 300,000 detections
logged 300,000+ incident detections
Normalized claim
Deployments: 100 deployments
100+ deployments across India
Normalized claim
Alert latency: 5 seconds
sub-five-second alert generation
Normalized claim
Video analyzed: 140,000 hours increase
analyzed more than 140,000 hours of video
No explicit deployment-stage evidence found.
Primary read
Showing 3 of 6
Three-layer architecture: edge AI and computer vision, multimodal data fusion, and intelligent alerting. Cloud Storage is used as a petabyte-scale data lake; Cloud Run provides serverless backend scaling; Google Kubernetes Engine runs the core AI models with HPA/VPA; native Google AI capabilities support natural-language video querying for officers.
AI-generated summary. Verify important details with the linked sources before relying on this case.
Was this useful?
Community
Loading comments...