About KENNDA
Make athlete intelligence more transparent.
KENNDA is being built around a simple thesis: better athletics decisions require trusted data, contextual valuation, and explanations people can verify.
Mission
Turn fragmented information into decision-ready intelligence.
College athletics generates enormous amounts of information, but critical signals are distributed across statistics, recruiting systems, film, market reports, transfer activity, testing events, and institutional workflows. KENNDA's purpose is to connect those signals without hiding their quality or provenance.
DataFirst-class asset
TrustProduct requirement
AIHuman-supervised
RoadmapStage-gated
Principles
01
Data integrityValidate, reconcile, and retain source context.
02
ExplainabilityEvery published valuation should be understandable.
03
TraceabilityHistorical outputs should remain reproducible.
04
SecuritySensitive intelligence must stay authorized and tenant-scoped.
05
Human oversightAI supports judgment rather than silently replacing it.
Company direction
A focused MVP with a much larger platform vision.
The initial product proves athlete identity, explainable scoring, comparison, and reporting. Proprietary data and customer feedback then create the basis for more sophisticated models, computer vision, market intelligence, and controlled agentic workflows.