Verify candidate
integrity at scale
Reppls AI enriches candidate profiles with public data and detects fake
or low-quality profiles early — so your teams make decisions based on
trusted signals, not assumptions.
Turn incomplete profiles into trusted candidate insights
Reppls AI Data Enrichment adds context, validates authenticity, and improves decision quality across high-volume hiring.
97%
Fake & low-quality profile detection. AI cross-checks public candidate data to flag inconsistencies, fabricated experience, and low-signal profiles.
70%
Less manual verification work. No more searching candidate activity or portfolios by hand.
What you get
A reliable way to validate candidate profiles at scale - reducing risk while increasing confidence in every hiring decision.
Data Enrichment
Build a complete candidate profile automatically.
- Extracts data from public sources (e.g. GitHub, portfolios, professional profiles)
- Enriches CVs with real-world signals
- Surfaces missing or inconsistent information
Integrity Assessment
Detect fake or low-quality profiles early.
- Flags inconsistencies across sources
- Identifies fabricated experience or low-signal activity
- Assigns integrity and confidence indicators
Consistent Validation
Apply the same standards to every candidate.
- Automated checks across high volumes
- Consistent evaluation across teams and regions
- Transparent signals recruiters can trust
Get the most data about
your candidates with Reppls
See how Reppls brings trust and consistency to enterprise hiring at scale.