Trust Intelligence OS

The AI Trust Layer for Every Product

VTrue turns QR, NFC, and digital product identities into real-time authentication, counterfeit intelligence, and post-scan growth.

Move your cursor over the product — VTrue Lens is watching.
Serum N°4
VT-7F2A-99C1-E04B
sig 0x3E…A1 · signed
batch B-0412
Batch health
B-0412 · watch
Authenticity
99.4% confident
Last verified
Singapore · 41s ago
Growth signal
Loyalty ×2.1
The problem

Counterfeits are no longer obvious. Your intelligence has to be real-time.

Fake products now ship with fake codes, cloned packaging, and laundered sales channels. Spot checks and hologram stickers can't see the pattern — only continuous scan intelligence can.

$2T+
global counterfeit trade — larger than the GDP of most countries, growing through e-commerce.
72%
of counterfeit incidents surface first as a data anomaly — duplicate codes, impossible geography, odd timing.
41 min
median time for VTrue AI to cluster suspicious scans into an actionable investigation. Demo metric.
Product identity layer

Every product becomes living proof.

A signed digital identity — QR, NFC, or digital product passport — travels with each unit from factory to consumer, accruing verifiable custody events at every step.

Signed code identity
Serialized QR/NFC per unit, cryptographically signed — clones fail verification instantly.
VT-7F2A-99C1
Custody trail
Factory, distributor, retailer — each handoff seals a timestamped custody event.
5 events · sealed
Digital product passport
Origin, certifications, warranty, care, recall status — readable by any consumer scan.
DPP-ready · EU

Why a layer, not a label

A sticker proves something was printed. A trust layer proves where a unit has been, who held it, and whether its story is consistent — and it keeps proving it at every scan, for the entire life of the product.

Identities stay useful after authentication: they carry warranty, loyalty, education, and recall messaging directly to the verified owner.

AI anti-counterfeit intelligence

Five risk signals, one verdict.

Every scan is scored across independent detectors. Individually they're noise — correlated by AI, they become an investigation with evidence attached.

Anomaly detection

Baselines every product's scan rhythm; flags spikes, gaps, and impossible velocity in real time.

AI sees: scan bursts at 03:00 across 3 cities — not consumer behavior.

Repeated-code detection

Catches identical codes appearing across multiple devices, sellers, or cities — the relabeling fingerprint.

AI sees: 14 codes, 412 scans, 9 devices, 2 km radius.

Geo-risk

Scores every scan against your authorized channel map — gray markets surface as geography.

AI sees: verified codes selling 1,700 km off-network.

Seller-risk

Builds risk profiles for resellers from the proof trails — or missing trails — of what they sell.

AI sees: 67 verifications, zero upstream custody events.

Device-risk

Fingerprints scanning devices; links rotating emulators and scan farms into single operations.

AI sees: 9 "different" devices sharing one hardware profile.

Case correlation

Signals merge into cases with confidence scores, attached evidence, and a recommended plan.

AI sees: 9 alerts → 2 cases → 1 likely print-vendor leak.
After the scan

Authentication is the beginning, not the end.

The growth loop

Every verified scan is a consented, high-intent touchpoint with a real owner of your product. VTrue turns that moment into CRM, loyalty, referral, and repurchase — measured end to end.

01
Scan
Consumer checks authenticity
02
Verify
Identity + risk signals clear
03
Identify
Owner joins your CRM, consented
04
Engage
Warranty, loyalty, education
05
Grow
Repurchase & referral, attributed
AI investigation room

When something is wrong, AI shows its work.

Evidence on the canvas, reasoning on the side. Every conclusion links back to the scans, devices, and custody events that produced it.

CASE VT-CASE-0847 · OPEN · HCMC D6
×14codes×9devices2kmradius1operation22-02night bursts1 hwprofileleakprint vendor
AI reasoning
01412 scans share 14 codes — duplicate rate 3.1× baseline.
029 devices rotate, but one hardware profile repeats. Same operator.
03Codes precede official distribution → leak before packing.
04Recommend: lock code range, audit print vendor, alert 3 retailers. Conf 0.94.
The dashboard

An analyst-grade cockpit, explained by AI.

Trust Score, scan intelligence map, batch health, proof trails, growth lab — every card answers what happened, why it matters, and what to do next. Point at anything; VTrue Lens explains it.

Industries

Built for products people fake.

Luxury
resale verification, VIP registry
Cosmetics
batch safety, gray-market control
Pharma
patient safety, recall precision
Food & agri
origin proof, cold-chain trust
Electronics
warranty fraud, component trust
Collectibles
provenance, ownership transfer
Security & trust architecture

Trustworthy by construction.

Signed identities

Per-unit cryptographic signatures. Cloned codes fail verification — no pattern matching required.

Device fingerprinting

Privacy-preserving device signals separate real consumers from scan farms and emulators.

Encrypted at every hop

Custody events and consumer data encrypted in transit and at rest; regional data residency options.

Immutable audit trail

Every verification and investigation step is logged and exportable for legal and compliance teams.

Get started

Make every product prove itself.

Issue your first signed identities in days, not quarters. Bring one product line; we'll show you what your scans already know.