Yield Systems has developed a patented AI video intelligence platform that accurately recognizes any object in video footage, achieving over 98% accuracy without the need for extensive real-life data. This technology enables retailers to conduct precise in-store inventories multiple times a day and allows plant breeders to track growth across numerous trial plots without requiring trained personnel.
Funding
$710K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Retailers face challenges in maintaining accurate in-store inventories due to manual counting processes that are time-consuming and prone to human error. Plant breeders require frequent and precise tracking of plant growth across numerous trial plots, which traditionally demands significant labor and specialized training.
Solution
Yield Systems offers an AI video intelligence platform that automates object recognition in video footage, enabling frequent and accurate counting at scale. The platform utilizes a patented AI vision system that achieves over 98% accuracy in identifying objects from smartphone videos, even in challenging conditions such as low light or cluttered environments. This technology allows retailers to conduct precise in-store inventories multiple times a day without manual effort. For plant breeders, the platform facilitates automated plant growth tracking across numerous trial plots, eliminating the need for trained personnel and enabling more frequent data collection throughout the growth season.
Target Audience
The primary target audience includes retailers seeking to improve inventory accuracy and efficiency, as well as plant breeders requiring automated and scalable plant growth tracking solutions.
Features
- Patented AI vision system for accurate object recognition in video footage
- Ability to count any object, regardless of lighting, arrangement, or quantity
- Accuracy levels exceeding 98%, validated by testing in real-world scenarios
- Smartphone video input for convenient data capture
- Automated in-store inventory management for retailers
- Automated plant growth tracking for plant breeders
- Synthetic data platform for training and improving AI models