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Clarifruit
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.
Category: AI & Automation
Team Size: 26-100
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As of 2026
AI & Automation
Revenue: $1M-$10M ARR
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.
Funding status: Funded
Revenue source: Subscriptions
Customer type: B2B
Pricing: Subscription
Tech stack: TypeScript, Angular, AWS, Computer Vision, Big Data
Platform: Web • iOS • Android
Integrations: ERP Systems, Farm Management Software, Traceability Platforms
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.
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.
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.
Growth strategies
- Strategic partnerships with global produce marketers like Dole and Zespri
- Co- marketing with agricultural machinery providers such as Kubota
- Direct enterprise B2B sales targeting large fruit supply chain operators
- Expansion across major agricultural hubs in North America, Europe, and Latin America
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.