AI-powered automated quality control platform for fresh produce supply chains.
What it does
Leverages computer vision on mobile devices to evaluate fruit quality metrics.
Automates inspection workflows to reduce manual evaluation errors and delays.
Provides cloud analytics dashboards for real-time visibility into produce condition.
Standardizes quality benchmarks across growers, distributors, and grocery retailers.
Why it works
Computer vision replaces subjective manual inspections with consistent, data-driven produce evaluation.
Mobile app deployment allows field workers to perform quality checks using off-the-shelf smartphones.
Real-time cloud analytics enable supply chain managers to reroute shipments based on fruit freshness.
Proprietary dataset trained on agricultural metrics creates a high technical barrier to entry.
AI-powered automated quality control platform for fresh produce supply chains.
Overview
Clarifruit is an AI-powered software platform that automates quality control for the fresh produce supply chain. Utilizing proprietary computer vision and analytics, the platform allows inspectors to evaluate fruits and vegetables via a smartphone app. It helps growers, wholesalers, and retailers standardize quality assessments, reducing fruit waste and financial loss across global supply networks.
Founded year:2018
Founder:Elad Mardix, Avi Schwartzer, Ruby Boyarski
Team size:26-100
Popularity:Used by tens of leading global produce enterprises including Dole, Zespri, and SanLucar
HQ:Rishon Le'Zion, Israel
Status:Active
Funding status:Funded
Customer type:B2B
Funding:$15.5M total raised across Seed and Series A rounds, plus $2.5M EU Horizon 2020 grant
Pricing:Subscription
Tech stack:TypeScript, Angular, AWS, Computer Vision, Big Data
Leverages computer vision on mobile devices to evaluate fruit quality metrics.
Automates inspection workflows to reduce manual evaluation errors and delays.
Provides cloud analytics dashboards for real-time visibility into produce condition.
Standardizes quality benchmarks across growers, distributors, and grocery retailers.
Who it's for
Fresh Produce Growers
Agricultural Marketing Companies
Wholesalers & Distributors
Grocery Retailers
Why it works
Computer vision replaces subjective manual inspections with consistent, data-driven produce evaluation.
Mobile app deployment allows field workers to perform quality checks using off-the-shelf smartphones.
Real-time cloud analytics enable supply chain managers to reroute shipments based on fruit freshness.
Proprietary dataset trained on agricultural metrics creates a high technical barrier to entry.
Founder story
Clarifruit was founded in 2018 in Israel by Elad Mardix, Avi Schwartzer, and Ruby Boyarski. The founders set out to tackle the massive financial loss and waste caused by subjective, manual quality control processes in the global $2 trillion fresh produce industry. They built an AI-driven computer vision platform to make produce inspections objective and instant.
Alternatives
Comparison overview
Clarifruit relies on smartphone-based computer vision for non-destructive fresh produce inspection.
Unlike hardware-heavy sorting systems or manual spreadsheet logs, it turns standard mobile phones into AI quality control scanners connected to a centralized cloud portal.