SOLUTIONS • 5-LAYER FORENSIC AUTHENTICATION
Source-Level Fake Review Prevention
60% of marketplace text reviews are polluted by unverified bots, ₹50 Telegram cashback rings, and competitor sabotage. AnalyzeG blocks fraud at the source with Biometric Face Match and Product-on-Camera proof.
Why Post-Hoc Text Moderation Fails — And Source Forensics Wins
In the age of LLMs and organized ₹50 Telegram review farms, anonymous text reviews carry zero evidentiary weight. You cannot build a ₹100 Cr formulation or packaging roadmap on anonymous star ratings when you have no proof the writer ever held your product.
AnalyzeG replaces post-hoc guessing with a mandatory 5-Layer Forensic Authentication Protocol before any submission enters the B2B telemetry vault:
Layer 1: KYC Identity & Demographic Profiling
Verified identity and UPI/bank endpoint uniqueness eliminate multi-account bot farms and anonymous sabotage rings.
Layer 2: Biometric Face Match & Liveness Verification
Confirms a live human reviewer matching their verified profile is continuously visible in the 30-second video — preventing screen recordings, slideshows, and AI deepfakes.
Layer 3: Product-on-Camera Computer Vision Check
Computer vision verifies that the physical SKU, packaging, or dispenser is held in-hand and demonstrated in real conditions.
Layer 4: Device Hardware & Geo-Consistency Forensics
Validates native smartphone camera capture metadata and cross-checks location consistency against the reviewer's state and city tier.
Layer 5: Cryptographic Timestamping + 100% Human Moderation
Every record is ISO-8601 time-stamped with immutable audit logs and inspected by a human moderator before entering the B2B dataset pool.
Forensic Verification FAQ
How does AnalyzeG prevent fake reviews at the source?
Unlike post-hoc text filters that try to guess if an anonymous comment was written by a bot, AnalyzeG requires 5-layer forensic authentication before any submission enters the B2B vault: (1) KYC Identity & Demographic Profiling, (2) Biometric Face Match & Liveness Detection, (3) Product-on-Camera Computer Vision SKU Detection, (4) Device Hardware & Geo-Consistency Forensics, and (5) Cryptographic Timestamping + 100% Human Moderation.
How does AnalyzeG prevent paid ₹50 Telegram cashback rings and competitor sabotage?
Cashback rings and sabotage farms rely on anonymous text accounts with zero physical product proof. On AnalyzeG, the reviewer must pass KYC identity checks, appear live on camera via biometric face matching, and physically hold and demonstrate the actual SKU in frame.
Audit Our 5-Layer Forensic Protocol
One-time dataset licensing • 100% auditable video + raw CSV/JSON proof • Book a live walkthrough.
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