Veracity Protocol provides a Vision AI‑based platform that captures the intrinsic microstructure of any physical object using a standard camera or smartphone, generating a tamper‑proof microstructure fingerprint that serves as a non‑invasive serial number. This fingerprint is linked to a Secure Digital Product Passport, enabling secure authentication, traceability, classification, and integrity detection without the need for tags, chips, or printed codes, supporting ESG goals and regulatory transparency.
Funding
$687K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
CCES+1Founders
Product
Problem
Physical products often rely on tags, chips, QR codes, or printed marks for authentication and traceability, which can be cloned, tampered with, or become obsolete, leading to counterfeiting, fraud, and supply‑chain opacity. Companies lack a scalable, non‑invasive method to uniquely identify each item and maintain a trustworthy digital record throughout its lifecycle.
Solution
Veracity Protocol uses Vision AI to capture the intrinsic microstructure of any object with a standard camera or smartphone, creating a tamper‑proof microstructure fingerprint. This fingerprint serves as a non‑invasive serial number that can be stored, authenticated, and linked to a Secure Digital Product Passport (SDPP), enabling reliable product identification without physical tags. The platform automates image capture, microstructure analysis, fingerprint generation, and data management, providing secure serialization, authentication, classification, traceability, and integrity detection across all materials and production scales. By eliminating the need for additional hardware or printed identifiers, the solution supports ESG goals, reduces waste, and aligns with EU transparency and sustainability initiatives. Companies can monetize these fingerprints through licensing and usage‑based pricing models.
Target Audience
Primary customers are manufacturers, brand owners, and supply‑chain operators seeking robust anti‑counterfeit protection, traceability, and ESG compliance for consumer goods, industrial components, and high‑value products.
Features
- Vision AI pipeline that extracts unique microstructure fingerprints from images captured by any smartphone or camera
- Secure Non‑invasive Serialization linking a microstructure number (NMN) to each individual product
- Microstructure Authentication that verifies genuineness with high accuracy, preventing counterfeit and fraud
- Image‑based Product Classification for automated categorization and identification of items
- Secure Digital Product Passport (SDPP) that stores product data on a tamper‑proof digital record, eliminating reliance on external tags or chips
- End‑to‑end traceability and integrity detection across the supply chain without additional physical markers
- Scalable infrastructure handling data formatting, model selection, GPU and API management, and cross‑platform security
- Monetization framework allowing owners to set rights, pricing, and usage scopes for their fingerprints and receive revenue per use