Ripe.io is a startup that uses blockchain technology to create transparency in the food supply chain. It captures data about the origin, journey, and quality of food to build trust. Supported by notable investors and recognized as an innovative agtech startup, Ripe.io connects stakeholders across the supply chain through its digital platform. By tracking food and aggregating data via sensors and smart contracts, it aims to reduce inefficiencies, waste, and recalls while meeting consumer demands for transparency, sustainability, and food quality assurances.
2. Mission
• Building long-lasting trust and confidence in the food system through an
accessible platform for transparent and reliable information on the origin,
journey and quality of their food
Supporters and Notables
• Maersk Ventures and Relish Works
• R3 and Microsoft
• Forbes “25 Most Innovative AgTech Startups”
• Ag Funder’s Most Innovative Supply Chain Startup (Pre-series A 2018)
4. Create a “Truth Record” of Food
• + Corda connects food journey and food quality data
• + Data capture and digitization of food and agriculture
• + Consensus among growers, distributors, packers, processors, brands, retailers
= Trust in the Food you Buy and Eat
1 2 543
5. Looking at the Supply Chain
Fragmentated, Complicated and Analog
6. Food & Ag
Supply Chain
Customer Pain
• Food supply
inefficiency
expensive
• Inability to create
food story to
connect to
customer
• Lack of trust in
supply chain and
with consumers
Quality
Traceability
Sustainability
Pre-Harvest Supply chain Grocery StorePost-Harvest
Consumer
$1.2T Food
Waste
$56B Food
Recalls
$50B Food
Fraud
Disconnected Food Supply Chain
Our platform allows to DIGITIZE THE FOOD SC.
The building block of it is the FOOD BUNDLE, a digital twin of the Food Item going through the Food Supply Chain.
Contains info on … Stage dependent.
Info conveyed through: API, Barcodes, Spreadsheets
Output: Visualize Data, Transfer with no processing, Data services/Analytics
Note how BC is at the heart of our Platform but it is only one piece of the entire puzzle/offer
2 days of monitoring. Same pick up date as in the overall journey screen. We get to choose the intervals. Here it was every 15’
Compare at Harvest vs after 10d (served at restaurant). Increased overall liking. (by 0.5 points on average in a 10pt liking scale)
Sensory dimensions that differ.
This allows us to calculate correlations between liking and the individual sensory dimensions.
The step back is to understand what steps/conditions are associated with those sensory dimensions.