A Shazura fingerprint is a patented
mathematical representation.
Singular to every image or video.
Applicable to all visual content.


Our vision is to mirror how humans understand visuals.
Fingerprints
are bio-inspired
A natural solution
for a complex challenge
- Visuals come first
- Are continuous & unlimited
- Visuals group to concepts
Labels
are man-made
A complex solution
for a simple path
- Labels are an output
- Are biased & supervised
- Labels ungroup visuals
WHAT EVANGELISTS SAY
- "Roads were designed for our eyes and brains. The only way to solve self-driving properly is with real-world AI and vision."Elon Musk - Founder SpaceX, co-founder OpenAI & Neuralink
- "We clearly don't need all the labeled data. A real intelligence doesn’t break when you slightly change the problem."Geoffrey Hinton - AI Pioneer and Google Researcher
- "Backprop is like Rolls Royce engine for airplanes. But they don't get us flying machines as agile & flexible as birds."Fei-Fei Li - Prof, Stanford; Co-Dir Human-Cntrd AI Inst.
- "I'm deeply suspicious of back propagation. I don't think it's how the brain works. My view is throw it all away and start again."Geoffrey Hinton - AI Pioneer and Google Researcher
- "Visual reasoning needs to be compositional. Without having seen a “person touching a bike”, the model should be able to understand it."Fei-Fei Li - Prof, Stanford; Co-Dir Human-Cntrd AI Inst.
We recognize visuals with limitless understanding and just one single sample to start.

VISUAL INTELLIGENCE
Computer Vision.

SINGLE-SAMPLE LEARNING
Unsupervised Learning.

FINGERPRINT
into a unique fingerprint.
FINGERPRINT TECHNOLOGY
While Computer Vision models rely on annotating data…
Our Visual Intelligence works directly with fingerprints.
While training data delays the delivery of results…
Our unsupervised learning grants instant performance.
While machine learning is data-dependent…
Our fingerprints are unbiased and content-agnostic.


UNIQUE
representation.


INSTANT
generation & learning.


LEAN


SECURE
& consistent.


ROBUST


ACCURATE

Conversion time
per item to fingerprint

Retrieval & search time
per 1:N fingerprint query

Fraction of accurate
recognized fingerprints

Ingestion & Indexing items
per day to fingerprints
FINGERPRINT AI CORE
1. Image/Video
- Digitalized 2D/3D data
- Computationally demanding
- Non-descriptive representation
- Redundant & noisy data
2. Shazura Patents
- Unsupervised learning
- High & low-level visual features
- Top-down single translation
- Optimized sparse–space
3. Fingerprint
- Totally pixel independent
- Natively invariant and lean
- Low-dimensional depiction
- Robust to acquisition conditions
FINGERPRINT AI LIFECYCLE

Unsupervised learning.
Instant & ready-to-use.
Attention mechanism.

Data-driven curation.
Natural clusters.
Fast retrieval at scale.

Natural propagation.
Use case business-centered.
Semi-supervised learning.
HEADQUARTERS
CONTACT
COLLEGE LAB
GRANTED International Patents - PCT WO2015032585
Privacy Policy | Cookie Policy | Terms and Conditions | © 2022 Shazura Inc