All case studies

Wearable Health Platform · LLM stack migration to Bedrock

Consolidating a wearable health platform's LLM stack on Bedrock

The problem

The platform depended on a third-party model provider to turn continuous IoT health data into anomaly detection and recommendations — a multi-cloud dependency with no structured way to validate quality before switching.

What changed

  • Core inference migrated with validated quality parity pre-cutover
  • Multi-cloud AI dependency eliminated; inference consolidated on AWS
  • Zero regression in health-insight accuracy

Next case study

Making a 1,056-GPU training cluster production-ready for a frontier AI lab