Alitheon provides FeaturePrint®, an optical‑AI technology that creates a unique digital fingerprint of any physical object by analyzing its microscopic surface features. Using only a standard camera—such as a smartphone or off‑the‑shelf industrial camera—users can capture a photo, generate a compact fingerprint, and later verify or trace the item with >99.9% accuracy and zero false positives, eliminating the need for barcodes, RFID tags, or other physical identifiers.
Funding
$10M 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.
BIIVFounders
Product
Problem
Many industries rely on barcodes, RFID tags, QR codes, or other physical identifiers to track and verify items, but these markers can be damaged, removed, counterfeited, or transferred, leading to misidentification, financial loss, and safety hazards.
Solution
Alitheon’s FeaturePrint® Optical‑AI technology creates a unique digital fingerprint for any physical object by analyzing its inherent microscopic surface features. Using only a standard camera—such as a smartphone or an off‑the‑shelf industrial camera—users capture a photo of the item, which the system processes into a compact fingerprint (≤500 KB). This fingerprint can be stored and later matched with >99.9 % accuracy and zero false positives, enabling reliable identification, authentication, and traceability without adding any tags, labels, or modifications to the object. The approach works out‑of‑the‑box on any object type, requires no training data, and integrates easily into existing workflows, providing a zero‑trust, tamper‑proof method for securing physical supply chains.
Target Audience
Primary customers are manufacturers, supply‑chain operators, and logistics providers that need secure, label‑free verification of components, raw materials, or finished goods across industries such as aerospace, automotive, pharmaceuticals, and consumer electronics.
Features
- Captures object identity from a single photo using standard cameras, including mobile phones
- Generates a compact digital fingerprint based on microscopic surface micro‑features, no training data required
- Provides >99.9 % matching accuracy with zero false positives for both identification and authentication
- Works on any manufactured item without the need for added labels, RFID, QR codes, or other additives
- Enables end‑to‑end traceability across the value chain by matching fingerprints at any lifecycle stage
- Simple integration into existing systems via API, supporting real‑time verification and inventory management