Snatch visual search concept
Visual Search for the Content Era

Everything You See & Like.

Identified, organized, and ready to find, compare, or share.

Production app scheduled for release in approximately two weeks.

12h  Screen time

Average adult spends 12h per day behind screens.

reviews.org ↗
~0.1× Visual search

Average adult does ~1 visual search per week. marketgrowthreports.com ↗

The problem

You see it. You like it. Then you lose it.

The path from a moment of discovery in a Reel, movie, video, or social post to finding the actual item is fragmented and inconvenient.

Fast-moving mobile content catches the user's attention
01 · See it
Something catches your eye.
A moment in fast-moving content sparks interest.
Screenshot, switch app, visual search, then return to the original content
02 · Search
Finding it breaks the experience.
Pause + screenshot → switch app → visual search → switch back.
Young user trying to remember where she found a pair of pants she searched for
03 · Forget it
Too hard to find.
The discovery disappears into screenshots, search history, and memory.
The Snatch experience

Anything that catches your attention—
discovered, organized, and always in your reach.

Capture it from the screen without breaking your flow. Explore it later, search anything inside it, and keep every discovery organized, comparable, and ready to share.

A snapshot being captured from fast-moving mobile content using the Snatch capture control
01
Snatch Anywhere
Capture what catches your eye without leaving the content.
Snatch opening into its gallery after a capture, with the Snatch bottom navigation visible
02
Explore Anytime
Open Snatch later and return to your captures whenever you want.
The full captured scene in Snatch with the pants selected and similar pants shown as visual-search results
03
Dig Into Anything
Select anything in the captured scene and search it.
A Snatch collection gallery with colorful categories for clothing, shoes, jewelry, architecture and other discoveries
04
Saved & Organized
Discoveries are automatically saved and organized into your collection.
A search for hip hop pants inside the user's Snatch collection showing matching previously discovered pants
05
Compare
Search your collection and compare related discoveries you've already made.
The same discovered pants opened in Snatch with options to share the discovery with contacts
06
Share
Share any discovery with friends or contacts in one tap.
Product demo

See Snatch
in action.

The visual above communicates the concept. This is the actual product experience: capture an item from digital content, identify it, search for it, and act on the result.

See the Technology ↓
Beyond search

Everything you discover.
In one place.

A search result disappears. A personal discovery collection becomes a product.

Organized visual search history
Compare and revisit discoveries
Share discoveries with friends
My Collection showing automatically saved discoveries
Shoes category view with Items selected
Category filters Search results for dress shoes Search similar, share, and remove actions
Why Snatch

Visual search already exists.
Snatch changes how it is delivered.

Existing visual search
Snatch
Intentional Search
The user has to decide to search.
→
Capture While Consuming
Capture happens at the moment of discovery; search can happen later.
Interrupts the Experience
Users leave what they are watching to search.
→
Designed for Continuous Use
Discovery stays part of the content experience.
One-Off Results
A search produces a result, then disappears.
→
Persistent Personal Collection
Every discovery can become something users keep and revisit.
Limited Discovery History
Previous finds are difficult to organize and revisit.
→
Save • Compare • Share
Return to, organize, compare, and share what you found.
Technology

Technology built for
real-time visual discovery.

Snatch combines fast visual processing, accurate object understanding, and audio context to make search available at the moment a user discovers something.

⚡

Edge Computing

Process critical operations close to the user to reduce latency and keep the experience responsive.

⌁

Fast Visual Search

Optimized visual-search pipelines take users from a captured moment to relevant results quickly.

◎

Accurate Object Detection

Identify individual objects within complex scenes so users can search for the specific item that caught their attention.

Audio intelligence

Snatch understands more than images.

Snatch can capture audio from content and transcribe it, adding another layer of contextual information to visual search.

Audio Capture
Capture spoken context from digital content.
Transcription
Turn speech into searchable contextual information.
Audio demo — Snatch
Multimodal search
Visual Signal
Object detection + visual search
+
Audio Signal
Capture + transcription
→
Contextual Search
Richer understanding of what the user wants
Why now

The technology is catching up with the behavior.

AI capability

Visual recognition and AI-assisted search are increasingly fast and accessible.

Content behavior

Product discovery increasingly happens inside video, social, and digital content.

Mobile expectation

Users expect immediate, contextual assistance without leaving the experience.

Launch

Ready to put the product in users' hands.

The production application is scheduled for release in approximately two weeks. Funding is intended to accelerate iteration, infrastructure, and customer-driven growth.

Target
Launch
Scheduled
~2 weeks
Product

Accelerate feature development and customer iteration.

Infrastructure

Scale AI, cloud, and production systems.

Growth

Acquire and learn from early users.

Customer demand

Respond quickly to validated user needs.

The team

Four engineers building a consumer AI product.

Omid Eghlidos Omid Eghlidos

Computational Scientist

Omid Eghlidos

Computational Scientist, Lam Research. Built Golchean after personally experiencing limitations of existing visual search solutions.

Smd Fard Smd Fard

AI Engine Optimizations

Smd Fard

Senior Software Engineer at PayPal. An expert back-end developer specializing in AI-driven search optimization.

Mir Salek Mir Salek

Product Lifecycles Leader

Mir Salek

Former Intel and ASML product engineer and developer. Product and engineering leadership focused on building user-centered technology.

Mehrnoosh Zaeifi Mehrnoosh Zaeifi

Cloud Deployment Systems

Mehrnoosh Zaeifi

Senior Software Engineer at Ripple. Expert in cloud computing and deployment.

Investment opportunity

Help turn visual discovery into an everyday behavior.

We are seeking funding to accelerate product development, launch, customer acquisition, and the response cycle to customer demand.

Funding
$1 Million
Target raise
Use of funds
Product development • AI & cloud • Growth • Customer development