Barin Sports AI-Driven Analytics Platform on AWS
Barin Sports is an innovative provider of real-time sports analytics, delivering advanced performance data and insights to teams, athletes, and analysts. By combining IoT and physiological metrics, the company wanted a cloud-native, AI-powered analytics portal to unify fragmented physiological, performance, and medical data into timely, trustworthy answers. The solution also expanded the analytics platform to ingest blood test results from scanned medical documents and enrich player-readiness analysis.
- Organization
- Barin Sports
- Industry
- Other
- Location
- Global
- Published
- August 2025
Reported outcomes
Strategic outcomes
Primary read
Use case focus
Showing 3 of 3
- 1Analytics Platform
- 2Document Processing
- 3Predictive Analytics
- Data was fragmented across formats, sources, and tools.
- Internal teams needed secure access to sensitive physiological, performance, and medical data.
- The company wanted to add blood test results as a new data vertical and improve time-to-insight.
- PCG designed and implemented a scalable cloud-native analytics platform on AWS.
- Amazon Athena and Amazon QuickSight were used to query historical and incoming data and visualize unified dashboards.
- Amazon Bedrock was used for AI summarization and anomaly detection.
- A custom OCR pipeline was built to extract structured blood-test data from uploaded medical reports and feed it into the analytics pipeline.
- Amazon CloudWatch provided monitoring, and Terraform was used for infrastructure-as-code; Amazon Cognito was used for secure identity management.
- Delivered a fully functional, cloud-native analytics portal.
- AI-enhanced dashboards automatically summarise trends and anomalies.
- Reduced time-to-insight for internal decision-makers.
- Improved data transparency across departments.
- Lowered maintenance overhead through AWS-native automation and created a foundation for future predictive readiness and injury-risk analytics.
Architecture
Event-driven AWS data and analytics platform using Amazon S3 as the data source, Amazon Athena for querying, Amazon QuickSight for dashboards, Amazon Bedrock for summarization and anomaly detection, a custom OCR pipeline for blood test document ingestion, Amazon CloudWatch for observability, Amazon Cognito for identity, and Terraform for deployment automation.
Implementation partners1
Sources & evidence1
AI-generated summary. Verify important details with the linked sources before relying on this case.
Explore related AI use cases
Was this useful?