Our methodology
How we validate data authority and relevance
Three principles guide every system we build — including Lakewave.ai.
01 — Source Validation
Cross-source verification
No single source is trusted alone. Every data point is checked against multiple independent sources before it’s treated as reliable — reducing the risk of acting on a single bad input.
02 — Confidence Scoring
Every data point gets a rating
Nothing is presented as a flat fact. Each result carries a confidence score reflecting how well-validated it actually is, so decisions are made with the right level of certainty.
03 — Continuous Re-validation
Relevance decays. We recheck.
Data that was authoritative yesterday may not be today. Our systems continuously re-validate rather than trusting a static snapshot that ages the moment it’s created.
Applied through AI-driven systems, grounded in a discipline that doesn’t depend on any single technology.
See it applied
This methodology, in Lakewave.ai
Lakewave’s contact verification waterfall and confidence-rated signals are a direct application of this methodology to B2B Data Intelligence.