Platform modules
Six modules. One Root Engine.
Vantage is structured around the sector-specific fraud taxonomies your team already works with. Each module is purpose-built for its industry's data formats, regulatory context, and fraud patterns.
The engine underneath
The Root Engine — four phases, every dataset
Every Vantage module runs on the same four-phase analytical pipeline. The modules supply the sector-specific fraud taxonomy; the Root Engine does the work.
Reconciliation Engine
Maps every record in your source data against the expected baseline. Identifies gaps, duplicates, mismatches, and unbilled items before fraud detection begins.
Anomaly Detection Ensemble
Applies 45+ statistical and rule-based anomaly signals against each reconciled record. Signals are weighted by module and historical performance.
Differential Diagnosis Engine
Distinguishes genuine fraud from billing error, data quality issues, and operational anomaly. Cases are typed before ranking.
Evidence Bundler
Assembles supporting evidence for every flagged case: source records, anomaly signals, risk score, and recommended next action. Ready for your team to act on.
Non-Technical Loss
NTL decomposes total network loss into technical (line loss, transformer loss) and non-technical (theft, meter bypass, unbilled connections). It works at the feeder, substation, and customer-account level simultaneously.
The module benchmarks actual consumption against expected usage profiles, flags accounts where metered consumption is systematically low, and ranks suspect zones by revenue at risk.
NTL module — key signals
+ 38 additional signals across 6 detection categories
Priimal Pulse
Pulse operates at the distribution network level. It compares input energy at each distribution point against the sum of downstream billed energy, and isolates zones where the variance exceeds technical loss benchmarks.
Where NTL works case-by-case at the customer level, Pulse identifies the geographic and network zones that are driving loss — so field teams can prioritise by location as well as by account.
Pulse — example zone output
Example output. Actual data from your network.
Priimal Signal
Signal reconciles CDRs against billing records and flags every class of telecoms fraud and leakage: IRSF, SIM swap, roaming abuse, subscription fraud, and revenue share abuse.
It also identifies CDR-to-billing leakage — calls and data sessions that are rated but not billed, or billed at incorrect tariffs — which typically accounts for 1–3% of revenue in operators with legacy BSS.
Signal module — fraud categories
221 signals across 7 fraud categories
More modules
Government, Insurance & Tax
Assure
Built for social protection, welfare, and disbursement programmes. Assure detects ghost beneficiaries, duplicate identities, ineligible claimants, and payment manipulation at scale.
Covers
- Ghost beneficiaries
- Duplicate identity detection
- Eligibility verification
- Payment manipulation
- Address clustering
- Cross-programme leakage
Claim
Claim analyses claims data for the signals that indicate inflation, staged events, identity fraud, and provider over-billing. Cases are ranked and bundled with supporting evidence for your SIU.
Covers
- Claim inflation
- Staged losses
- Identity & policy fraud
- Provider over-billing
- Referral ring detection
- Repeat claimant patterns
Ledger
Ledger is designed for revenue authorities and tax agencies. It supports tax gap analysis across income, VAT, corporation tax, and payroll — identifying under-reporting, evasion, and structural fraud.
Covers
- Income under-reporting
- VAT fraud
- Transfer pricing
- Payroll fraud
- Asset concealment
- Cross-border evasion
Ready to start?
Tell us your sector, we'll show you what Vantage finds
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