Wastetide provides an AI platform that analyzes waste management invoices and material streams to identify cost-saving opportunities and revenue generation from recyclables. The system automates invoice review, flags overcharges, and connects users with optimal buyers for their waste materials. This service transforms waste management from a cost center into a source of profit and streamlines ESG reporting.
Funding
$1.2M 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.
GHTNFounders
Product
Problem
Industrial facilities often struggle with inefficient waste management processes, leading to unnecessary costs, environmental impact, and difficulty complying with evolving regulations like CSRD and REP EIC. Inaccurate waste sorting and a lack of real-time data visibility contribute to these inefficiencies.
Solution
Wastetide offers an AI-powered waste management solution that optimizes waste streams and reduces costs by analyzing waste composition through image recognition and invoice data. The platform uses a mobile app to capture images of waste on the factory floor, which are then analyzed by AI algorithms to improve sorting accuracy and divert waste from landfills or incineration to more cost-effective and environmentally friendly streams. By providing a comprehensive dashboard with downloadable reports, Wastetide enables businesses to track key metrics such as cost savings, recyclability, waste volumes, and carbon footprint reductions. The system integrates with existing processes and adapts to unique operational needs, ensuring compliance with regulations and promoting sustainability.
Target Audience
Wastetide primarily targets HQSE (Health, Quality, Safety, and Environment) teams, purchasing teams, and finance teams within industrial facilities that generate significant waste streams.
Features
- Mobile app for capturing waste images on the factory floor using smartphones
- AI-powered image recognition for accurate waste classification (plastics, cardboard, metals, e-waste, construction waste, infectious waste)
- Analysis of waste management invoices to identify cost optimization opportunities
- Personalized dashboard for tracking cost savings, recyclability, waste volumes, and carbon footprint reductions
- Downloadable reports in Excel and PDF formats for easy sharing and auditing
- Hardware-agnostic design that integrates with existing waste management processes
- Algorithms trained on extensive datasets for improved accuracy over time
- Compliance with regulations like CSRD and REP EIC