Four Connected Layers of Performance Intelligence
SwimAI connects mobile data acquisition, cloud processing, coaching workflows and natural-language AI. Each layer contributes to a more complete understanding of the swimmer's performance, technique, workload and recovery.
Data Acquisition
Capture the Athlete's Training Context.
- Swimming-session information
- Split and pacing information
- Available technique measurements
- Physiological information from compatible sources
- Training-load context
- Athlete-reported fatigue, stress and soreness
- Recovery and wellness information
Exact measurements depend on the devices, integrations and data available to the program.
Layer 1
Capture the Athlete's Training Context.
Cloud Intelligence
Bring Disconnected Information Together.
- Normalize information from multiple sources
- Process swimming sessions at scale
- Organize athlete histories
- Run performance and recovery algorithms
- Prepare information for reporting and analysis
- Provide governed access for approved AI tools
Layer 2
Bring Disconnected Information Together.
Coach Platform
Make Performance Easier to Understand.
- Review raw and processed information
- Follow swimmers across sessions
- Compare training blocks
- Identify changes in pacing and consistency
- Examine technique and efficiency
- Relate fatigue and recovery to performance
- Support athlete-specific coaching conversations
Layer 3
Make Performance Easier to Understand.
AI Intelligence
Explore Athlete Information in Natural Language.
SwimAI can use an MCP-based connection to approved assistants and language models. This allows authorized users to ask questions about the information available within the platform using ordinary language.
Illustrative queries
AI-generated analysis should support—not replace—the judgment of qualified coaches, performance professionals or medical personnel.
Layer 4
Explore Athlete Information in Natural Language.