We crowdsource food safety reports & detect and prevent outbreaks.
Public company, workplace, funding, and market signals
Updated Jul 30, 2026
DineSafe is a New York-based food-safety intelligence company that crowdsources consumer illness reports and uses AI/analytics to detect outbreaks early, monitor risk, and help public-health agencies and food businesses manage compliance and reputation.
Primary product
Real-time food-safety risk intelligence and outbreak-detection platform
Founded
2015
Headquarters
New York, New York, United States
Team size
1-10
Industry
Information Services
Sub-industry
Food safety analytics / outbreak detection
Offices
0 jobs at Dinesafe
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Business model
Stage
Seed
Total raised
$120K
Latest round
Seed · Aug 2018
Latest amount
$120K
Aug 2018
Investors
Mission-driven and public-health-oriented, emphasizing real-time alerts, proactive outbreak detection, client-first support, and cross-sector collaboration with regulators and industry.
Pricing
Flexible pay-per-lead / monthly spend-cap program for food-safety consultants, plus demo-based enterprise offerings
Differentiators
Technology
Customers
Competitors
Estimated revenue
Public estimates range from about $513,330 to $1M ARR
DineSafe · May 2026
Patrick Quade is scheduled to speak at the AFDO Annual Educational Conference in Columbus, Ohio on Data & AI in Food Safety, highlighting how consumer-generated data can augment traditional surveillance and improve outbreak response.
DineSafe · Jan 2026
DineSafe participated in a NEMIS Academy webinar focused on turning consumer-reported data into predictive early warning systems and actionable food-safety benchmarks.
DineSafe · Sep 2025
DineSafe participated in an Agroknow workshop on using AI to enhance food safety and prevent food fraud during NAFS 2025 Conference Week.
DineSafe · Sep 2025
Patrick Quade demonstrated how real-time consumer reports can help detect outbreaks earlier, minimize recall size, and identify potential food fraud.
DineSafe · Nov 2021
Dinesafe announced an FDA CFSAN contract to provide AI-driven, crowdsourced consumer data and analytic support for foodborne-illness monitoring and cluster detection.