Artificial Intelligence | Machine Learning | Machine Perception Neurolabs | Make Object Recognition Accurate and Affordable


Consumer, Enterprise, Object Recognition, 3D, Computer Software, Artificial Intelligence, Retail Technologies Edinburgh, United Kingdom

Neurolabs

Artificial Intelligence | Machine Learning | Machine Perception


Neurolabs | Make Object Recognition Accurate and Affordable

Neurolabs

Object Recognition, 3D, Computer Software, Artificial Intelligence, Retail Technologies


Edinburgh, United Kingdom

We develop algorithms to visually interpret and understand the world. Using images from cameras, our Computer Vision (CV) models accurately identify and classify objects of interest, helping computers “understand” what they “see”. Our approach substitutes the expensive and rare real-world data required to train Deep Learning algorithms, with synthetically generated data to provide massive low-cost data sets in a fraction of time. Our technology empowers both small and large customers to implement state-of-the-art CV applications with minimal incremental resources and costs — no coding required, no tedious data labeling, and no image gathering. Our technology is universally applicable across industries and scales. We help our partners automate generic object recognition tasks in industries ranging from hospitality to retail and manufacturing.

Select from an extensive catalog of over 100,000 SKUs in the Neurolabs platform including top brands such as P&G, Nestlé, Unilever, Coca-Cola, and much more. Your field agents can upload multiple shelf images from mobile devices to our API which will automatically stitch the images together to generate the scene. SKU-level detection provides you with detailed information to compute retail execution KPIs such as Out-Of-Shelf rate, shelf share percentage, competitor price comparison, and so much more! 

 

B2C, B2B

1 to 25

Pre-Seed

$1.2 M

Scaling Up

2018

 
 

Retail and Commerce
Mechanical or Industrial Engineering
Hospitality
Computer Software
Biotechnology
Aerospace & Defense

N/A

Increase Productivity
Increase Efficiency

 
 

Analytics
IT and Security
Service
Sales

Yes

Active

 
 

   Machine Learning
   Machine Perception
   Natural Language Processing


Object Recognition

Object Recognition

Food Recognition

Food Recognition

Product Recognition

Product Recognition

Defect Recognition

Defect Recognition

Utensils Inventory

Utensils Inventory


Image

Image

Video

Video

Structured

Structured

 

   Software


Keras

Keras

Pytorch

Pytorch

Tensorflow

Tensorflow


Neural Networks

Neural Networks

Machine Learning Algorithm

Machine Learning Algorithm

Deep Learning Algorithm

Deep Learning Algorithm

 
 

View All

Cloud Engineer

Edinburgh, Edinburgh

Product Marketing Manager

Edinburgh, Edinburgh

 

AI/ML Professionals

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3

1

$3.5M

Company was founded 2018 and it took almost 4 years (May 2022) to raise first external round

 
 

Date

Round

$ Raised

Investors

05/27/2022

Seed

$3.5M

LAUNCHub Ventures, Lunar Ventures, Techstart Ventures

Date : 05/27/2022

Round: Seed

$ Raised: $3.5M

Investors: LAUNCHub Ventures, Lunar Ventures, Techstart Ventures

 

Investors

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Paul Pop


Paul Pop
Co-Founder & CEO

Remus Pop


Remus Pop
Co-Founder

Patric Fulop

Patric Fulop
Co-Founder & CTO

 
 

Potential Customers

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