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Case study · Video Technology / SaaS
Turning live video into actionable intelligence at scale.
A streaming-first, cloud-native platform for live recording, stream processing and AI-based video analysis.
- Client
- Halo Solutions
- Industry
- Video Technology / SaaS
- Delivery
- Cloud-native video platform
- Capability
- Computer Vision
The challenge
What Halo Solutions was up against.
Recording video is easy; processing it is not. Halo needed to handle live and recorded video at scale, process streams in near real time and extract insight without runaway infrastructure complexity.
- Live and recorded video at scale
- Near real-time stream processing
- Extracting insight from visual content
- Infrastructure complexity and cost
- Reliability under high traffic
The solution
What we built.
Skugal engineered a platform combining live ingestion, stream-based pipelines, computer vision and fully automated infrastructure.
Stream-based processing
Kinesis Video Streams buffering and an event-driven pipeline that absorbs spikes without bottlenecks.
AI video analysis
Rekognition object and scene detection and moderation, with Google Cloud Vision for additional image intelligence.
Infrastructure as code
The whole stack provisioned with CloudFormation for repeatable, versioned, lower-risk deployments.
How it works
From input to outcome.
- Live video input
- AWS IVS streaming & recording
- Kinesis Video Streams
- AI processing (Rekognition / Vision)
- Insights & stored media
- Dashboards & downstream apps
Business impact
What changed.
Halo Solutions launched a robust platform that turns raw video streams into actionable intelligence and scales without operational complexity.
Technology
- AWS IVS
- Kinesis Video Streams
- AWS Rekognition
- Google Cloud Vision
- AWS CloudFormation
- Reliable live recording at scale
- Stream processing without manual intervention
- Automated insight from video content
- Faster provisioning and safer scaling
Recording video is easy. Understanding it at scale is the hard part.
Next step
Have a similar challenge?
Tell us about the workflow or product. We’ll come back with an architecture, a delivery plan and where AI agents fit.