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
Software
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
Investors
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