Interactive Demos

Live ADS-B aircraft data from 24 US regions. xrayGraphDB predicts where each aircraft should be before the next update, compares prediction to reality, learns route patterns by flight number, and flags deviations — all at 286K+ peak QPS on our patent-pending engine. 5,000+ aircraft tracked simultaneously with <1% CPU usage.

Drop in a patient's full medication list. In under 1 millisecond, xrayGraphDB maps every drug-drug interaction, every CYP450 enzyme conflict, every cascade risk — and tells you which single medication change reduces the most risk. 1,933 real drugs, 149,361 real interactions, 14 metabolic enzymes. Powered by our patent-pending graph engine — answers no lookup table can replicate.

A drug-drug interaction network based on the STRING database schema, showing ~50 real compounds from cancer signaling, DNA repair, and apoptosis pathways. Edge thickness reflects interaction confidence scores (0-999). Hover over edges to see interaction type and confidence. Try the full Polypharmacy Analyzer →

MATCH (p:Protein {name: "TP53"})-[r:INTERACTS_WITH]->(n)
RETURN p.name, n.name, r.score ORDER BY r.score DESC

MATCH path = (p:Protein {name: "TP53"})-[:INTERACTS_WITH*1..5]->(n)
RETURN DISTINCT n.name, length(path) AS hops

MATCH (p)-[r:INTERACTS_WITH]->(n)
WHERE r.score > 900
RETURN p.name, n.name, r.score

MATCH (drug_target)-[:INTERACTS_WITH*1..4]->(disease_protein)
WHERE disease_protein.name = "BRCA1"
RETURN DISTINCT drug_target.name

MATCH (p:Protein)
WITH p, EMBED(p.function) AS vec
RETURN p.name, p.function
ORDER BY cosine_similarity(vec, EMBED("DNA repair")) DESC LIMIT 10

Live Bitcoin blockchain analysis with real-time fraud detection. Every unconfirmed transaction analyzed in milliseconds by xrayGraphDB's patent-pending engine, which breaks the 10+ hop barrier that stops traditional graph databases.