Our vision is to mirror how humans understand visuals.

Visuals naturally group to define concepts. Labels don’t match to all visuals.

Fingerprints
are bio-inspired

A natural solution
for a complex challenge

  • Visuals come first
  • Are continuous & unlimited
  • Visuals group to concepts
OWL
MERGE
ANANAS

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.

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EDGE-TO-CLOUD

Ready to use SaaS
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SINGLE-SAMPLE

Unsupervised Learning
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FINGERPRINT-BASED

Unique representation

FINGERPRINT TECHNOLOGY

A Shazura Fingerprint is a patented
algorithm and model that delivers Advanced Computer Vision.

Shazura translates every visual asset into a unique fingerprint, not relying on annotating or labeling data.

 

Shazura delivers a true visual intelligence, operational from day one, and equipped to deal with the unpredictable.

 

Fingerprint SaaS deploys the fastest service, hardware and industry-agnostic, with no need for human training.

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UNIQUE

Single descriptive
representation.
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INSTANT

Real-time dynamic
generation & learning.

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LEAN

Fast processing
& low storage.

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SECURE

Natively encrypted
& consistent.
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ROBUST

Strong persistence.
HW & content agnostic.

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ACCURATE

High-level
recognition & performance.

0
fps
Indexing SPEED

From frame to Fingerprint

0
ms
Query RESPONSE

Fingerprint 1:N retrieval

0
%
Recognition PERFORMANCE

Fingerprint precision

0
x
Operational EFFICIENCY

Knowledge propagation

FINGERPRINT AI CORE

How Shazura translates visual data into unique fingerprints to provide instant visual recognition.

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

How Shazura fingerprints evolve from instant recognition to business use case customization.
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1. VISUALS TO FINGERPRINT

Unsupervised learning.

Instant & ready-to-use.

Attention mechanism.

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2. CURATED HYPERCLOUD

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

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3. NATURAL LEARNING

Natural propagation.

Use case business-centered.

Semi-supervised learning.