
India's B2B verified consumer & competitor video intelligence platform. Unlock 5-layer biometric verified 30s in-hand buyer videos, Executive Defect & Switch-Risk Reports, Power BI dashboards, and 22-field CSV/JSON telemetry in 24h.
A startup from India, founded by Souvik Dey.
This page is designed to help you find out whether AnalyzeG.co.in is good and if it is the right choice for you.
AnalyzeG (https://analyzeg.co.in) is India's B2B verified consumer and competitor video intelligence platform, delivering forensically authenticated 30-second in-hand Indian buyer videos, executive defect & switch-risk diagnostics, Power BI dashboards, and 22-field CSV/JSON telemetry within 24 hours.
Today, consumer brands fly blind because 60% of marketplace text reviews are fake or bot-manipulated, traditional market research takes 6–8 weeks, and ₹15L+ agency studies deliver static PDFs with zero reusable customer assets.
.pbix dashboard isolating formulation/packaging defects, English/Hindi/Hinglish sentiment, and named competitor switch-risk matrices.Each verified review is licensed at ₹1,000 per unlock (splitting revenue 50/50: ₹500 to the Verified Reviewer, ₹500 to AnalyzeG) across Main Brands, Direct Competitors, and Market Researchers — economically rewarding honest defect and switch-risk proof over flattery.
Listed in
Deliverables (24h SLA)
30s Verified Videos + Power BI Dashboard + 22-Field CSV/JSON
Forensic Verification
5-Layer: KYC, Biometric Face Match, Product-on-Camera CV & Human
Anti-Bias Syndication
₹1,000/Unlock (50/50 Split) Across Brands, Competitors & CMI
Compliance & Privacy
DPDP Act 2023 Data Fiduciary • 3-Tier Consent • Zero-PII Exports
Multimodal Vernacular AI
English, Hindi & Hinglish Sentiment + Competitor Switch-Risk
Indian D2C brands, consumer-goods manufacturers and market-research firms who need forensically authenticated, defect-grade buyer video plus structured review telemetry.
Every buyer receives One Purchase, Three Assets within 24 hours: the 30-second verified video, an Executive Defect & Switch-Risk report with a Power BI dashboard, and a 22-field zero-PII CSV/JSON dataset.
Application: React single-page app, Firebase for auth, realtime database and review-media storage, and the Gemini API for multimodal English/Hindi/Hinglish sentiment and defect extraction.
Forensic authentication stack (5 layers): KYC identity profiling, biometric face match with liveness detection, product-on-camera computer vision, device sensor forensics and 100% human moderation, governed as a DPDP Act 2023 Data Fiduciary with 3-tier consent and zero-PII exports.
Reporting: a Power BI (.pbix) Executive Brand Diagnostic dashboard backed by a 22-field CSV/JSON telemetry pipeline segmented by State, City Tier, Age Band, Gender, Usage Duration and Purchase Channel.
Platform: static site on Cloudflare Pages; public repository at github.com/souvik9434/AnalyzeG-static.
AnalyzeG was built by Souvik Dey after a simple observation: the highest-quality proof of a product already exists — 30 seconds of a real buyer, in hand, on camera — but nobody can trust it.
Around 60% of marketplace text reviews are fake or bot-manipulated, traditional market research still takes 6–8 weeks, and ₹15L+ agency studies hand back a static PDF with no reusable customer asset.
So AnalyzeG closed the trust gap, not the data gap. Every video passes 5-layer forensic authentication — KYC identity profiling, biometric face match with liveness, product-on-camera computer vision, device sensor forensics and 100% human moderation — and one purchase returns three assets in 24 hours.
The commercial model follows the evidence: reviews are licensed at ₹1,000 per unlock across main brands, direct competitors and researchers on a 50/50 split, so honest defect and switch-risk proof earns more than flattery.
We deliberately do not list customer logos we cannot evidence.
AnalyzeG is an early-stage platform, so our current users are:
Our public evidence is the platform itself: every unlock traces back to a KYC-verified, face-matched buyer video. An empty customer list is more defensible to a due-diligence reader than an invented one.
One purchase returns three assets within 24 hours, not just a review score.
Video can additionally be licensed for commercial advertising rights on own-brand SKUs under DPDP Act 2023 Tier-3 consent.
Competitors hand you a score or a static PDF. AnalyzeG hands you three usable assets within 24 hours.
You are not buying a dashboard. You are buying the buyer, the defect and the switch-risk, with the video to prove it.
Indian D2C brands, consumer-goods manufacturers and market-research firms who need forensically authenticated, defect-grade buyer video plus structured review telemetry.
Every buyer receives One Purchase, Three Assets within 24 hours: the 30-second verified video, an Executive Defect & Switch-Risk report with a Power BI dashboard, and a 22-field zero-PII CSV/JSON dataset.
AnalyzeG was built by Souvik Dey after a simple observation: the highest-quality proof of a product already exists — 30 seconds of a real buyer, in hand, on camera — but nobody can trust it.
Around 60% of marketplace text reviews are fake or bot-manipulated, traditional market research still takes 6–8 weeks, and ₹15L+ agency studies hand back a static PDF with no reusable customer asset.
So AnalyzeG closed the trust gap, not the data gap. Every video passes 5-layer forensic authentication — KYC identity profiling, biometric face match with liveness, product-on-camera computer vision, device sensor forensics and 100% human moderation — and one purchase returns three assets in 24 hours.
The commercial model follows the evidence: reviews are licensed at ₹1,000 per unlock across main brands, direct competitors and researchers on a 50/50 split, so honest defect and switch-risk proof earns more than flattery.
Application: React single-page app, Firebase for auth, realtime database and review-media storage, and the Gemini API for multimodal English/Hindi/Hinglish sentiment and defect extraction.
Forensic authentication stack (5 layers): KYC identity profiling, biometric face match with liveness detection, product-on-camera computer vision, device sensor forensics and 100% human moderation, governed as a DPDP Act 2023 Data Fiduciary with 3-tier consent and zero-PII exports.
Reporting: a Power BI (.pbix) Executive Brand Diagnostic dashboard backed by a 22-field CSV/JSON telemetry pipeline segmented by State, City Tier, Age Band, Gender, Usage Duration and Purchase Channel.
Platform: static site on Cloudflare Pages; public repository at github.com/souvik9434/AnalyzeG-static.
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