Body signals
How each athlete is responding
- Training Load
- Sleep Quality
- Readiness Scores
- Recovery Data
AI & Data · Embedded analytics · Koro
Ask anything. Get answers across all your data
Connect one data source or a thousand. Athoz Model (Koro) answers questions across every model your organization already runs, connecting and reasoning across multiple data sources to surface a unified answer - without anyone needing to know where the data lives.
Ask Athoz questions like “Which athletes need my attention today?” and get answers drawn from every connected data source.
Intelligence pipeline
Data flows through five stages to become personalized guidance
1
Ingest
2
Normalize
3
Analyze
4
Recommend
5
Report
What data we use
High-level categories integrated into a unified intelligence layer
Performance context
What surrounds the work
- Performance Metrics
- Injury History
- Schedule & Context
Human inputs
The details systems usually miss
- Nutrition Logs
- Subjective Feedback
- Environmental Factors
Unified athlete layer
Data sources integrate seamlessly through flexible APIs, allowing Athoz to work with your existing technology stack without requiring wholesale replacement.
AI engine
Intelligence that elevates your coaching
A unified AI engine designed to augment your expertise, never replace it.
Insights
AI identifies patterns and relationships across data streams that humans would miss. Understanding emerges from correlation, not just collection.
- Pattern recognition across athletes
- Anomaly detection for injury risk
- Performance trend analysis
LoadRiskTrend
Recommendations
Intelligent guidance that respects constraints, understands context, and adapts to real-time conditions. Not prescriptive, suggestive.
- Constraint-aware suggestions
- Context-specific guidance
- Load optimization
ConstraintsApproved
Adaptation
The system learns from outcomes and adjusts models continuously. Recommendations improve as the AI understands what works for each individual.
- Outcome-informed updates
- Individual model tuning
- Continuous learning loops
LearnAdapt
Privacy & Security
Your data stays yours while AI delivers value.
Institutional controls, accountable access, and clear data ownership are built into the intelligence layer - not added after deployment.
01 / Isolation
Minimization
Only the data required to generate useful intelligence is collected and retained, reducing exposure without reducing insight.
02 / Control
Access
Role-based permissions determine who can see what, so medical, performance, academic, and personnel information stay in the right hands.
03 / Governance
Ownership
Your organization retains ownership of athlete data. Athoz is the intelligence layer - not a lock-in or reseller of records.
04 / Accountability
Audit
Sensitive actions can be reviewed. Access and changes leave a clear trail designed for institutional oversight.
05 / Protection
Encryption
Sensitive data is protected at rest and in transit using industry-standard encryption protocols across the platform and supporting infrastructure.
06 / Foundation
Privacy by design
Privacy controls are built into the architecture from the start, shaping how data is collected, processed, permissioned, and surfaced.
Independently validated controls
SOC 2 Compliant
Athoz maintains SOC 2-aligned controls for security, availability, and confidentiality, helping institutions protect sensitive athlete and organizational data.
Experience trustworthy intelligence
See how Athoz keeps intelligence useful, auditable, and grounded in human judgment.