Rejoice Research Lab
Semantic Content Intelligence for Christian Audio
Exploring how machine learning can understand, connect, and safeguard faith-based content across sermons, podcasts, music, and scripture.
14,729
Content Items
2,777
Scripture References
6
Research Projects
4
Content Formats
Research
Our Studies
01
Live Semantic Search
Search across 14,729 items using natural language. Understands theological concepts, not just keywords.
Try search
02
Theological Embedding Space
14,729 items mapped into a shared semantic space. UMAP projection reveals natural theological clusters.
Explore map
03
Scripture Knowledge Graph
Interactive network connecting content through shared scripture references across formats.
View graph
04
Recommendation Simulator
Side-by-side comparison of engagement, discovery, and depth-optimized recommendation engines.
Launch simulator
05
Nicene Creed Validator
Neurosymbolic system enforcing Nicene Creed invariants over language model outputs.
Try validator
06
Cross-Modal Retrieval
Can a sermon about forgiveness surface a relevant worship song? Testing retrieval across formats.
View findings
Team
Who We Are
DD
Daniel Dizon
Founder & CEO
Building the future of Christian audio discovery through technology and faith.
NG
Nathan Gaw, Ph.D.
Chief Research Officer
Leading research in semantic content intelligence, NLP, and theological computing.