GCPEvidence: Medium50/100

Valiance case study | Google Cloud

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.

Organization
Valiance
Location
India
Published
June 2026

Reported outcomes

10,000,000,000 images

images processedOther quantified impact

300,000 detectionsincident detections100 deploymentsdeployments5 secondsalert latency140,000 hoursvideo analyzed

Strategic outcomes

New product / capabilityBuilt AI-powered video intelligence suiteNew product / capabilityEnabled natural-language video queryingBetter decisions & insightImproved visibility through dashboards and heatmapsCustomer experience & trustDelivered real-time incident intelligence
Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Images processed: 10,000,000,000 images

Google CloudJun 7, 2026Customer storyExplicit claimMedium evidence strength

Processed 10 billion images in 12 months

Normalized claim

Incident detections: 300,000 detections

Google CloudJun 7, 2026Customer storyExplicit claimMedium evidence strength

logged 300,000+ incident detections

Normalized claim

Deployments: 100 deployments

Google CloudJun 7, 2026Customer storyExplicit claimMedium evidence strength

100+ deployments across India

Normalized claim

Alert latency: 5 seconds

Google CloudJun 7, 2026Customer storyExplicit claimMedium evidence strength

sub-five-second alert generation

Normalized claim

Video analyzed: 140,000 hours increase

Google CloudJun 7, 2026Customer storyExplicit claimMedium evidence strength

analyzed more than 140,000 hours of video

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
Valiance
Provider
GCP
Maturity
Unknown
Linked source
Google Cloud

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 3 of 6

  • 1Computer Vision
  • 2Real-time Analytics
  • 3Incident Response
  • Forests and cities generate massive volumes of unwatched video, causing missed threats, delayed responses, and fragmented incident reporting.
  • Valiance needed a secure, scalable cloud architecture that could support real-time processing while meeting data sovereignty requirements.
  • Valiance selected Google Cloud as the core infrastructure for its Video Intelligence Suite.
  • Cloud Storage serves as a petabyte-scale data lake, Cloud Run provides serverless backend scaling, and Google Kubernetes Engine hosts the core AI models.
  • The solution uses custom computer vision models on cloud and edge devices, multimodal data fusion, intelligent alerting, and Google AI capabilities for natural-language video querying.
  • The architecture supports existing CCTV infrastructure and is designed for secure, MeitY-empaneled data center deployment.
  • Wildlife Eye processed more than 7 billion images in 2024 and supports real-time species recognition.
  • The broader suite processed 10 billion images in 12 months with minimal latency.
  • CivicEye has 100+ deployments across India and has logged 300,000+ incident detections.
  • CivicEye generates alerts in under five seconds and has analyzed more than 140,000 hours of video.
  • The platform improves visibility through heatmaps, audit trails, and dashboards for public authorities.
Architecture

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.

Sources & evidence1
Evidence: Medium50/100Evidence strength
  • Customer explicitly identified
  • Primary source available
  • Quantified outcome available
  • Technical implementation details available
Type: Customer StoryPublished: Jun 7, 2026Publisher: Google CloudEvidence: PrimaryConfidence: High

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