KYKLOS provides a cloud‑based analytics platform that quantifies material flows across products and supply chains using life‑cycle assessment and material‑flow analysis. The AI‑driven engine recommends circularity actions such as reuse, recycling and product‑as‑a‑service, and enables scenario modeling and real‑time KPI dashboards for ESG and regulatory reporting. It serves municipalities, large enterprises and NGOs seeking to measure and reduce material consumption.
Funding
Funding not disclosed
Founders
Product
Problem
Material extraction, processing, and consumption drive roughly half of global greenhouse‑gas emissions and account for the majority of biodiversity loss, water stress, and other environmental pressures. Citizens, enterprises, and public agencies often lack quantitative tools and actionable pathways to assess and curtail their material footprints in a systematic, equitable manner.
Solution
KYKLOS delivers a cloud‑based analytics platform that quantifies material flows across products, services, and supply chains using life‑cycle assessment (LCA) and material‑flow analysis (MFA). The system applies AI‑enhanced optimization to identify circularity levers—such as reuse, recycling, and product‑as‑a‑service models—and to design dematerialization roadmaps that reduce raw‑material extraction and processing. Users can run scenario simulations, monitor key performance indicators (KPIs) in real time, and export results into ESG and regulatory reporting frameworks. Integrated stakeholder dashboards facilitate transparent communication of progress toward sustainability targets, enabling informed decision‑making for resource‑efficient strategies.
Target Audience
Primary customers are municipalities, large enterprises, and sustainability‑focused NGOs that need to measure, report, and reduce material consumption as part of their climate and biodiversity commitments.
Features
- Automated material‑footprint calculator that ingests ERP, IoT, and procurement data to produce granular LCA and MFA metrics
- AI‑driven circularity engine that recommends reuse, remanufacturing, and recycling pathways based on cost‑benefit and environmental impact analyses
- Scenario‑modeling toolkit allowing users to compare dematerialization strategies under varying policy, market, and technology assumptions
- Real‑time KPI dashboard with customizable visualizations for material intensity, waste reduction, and carbon savings
- API and data‑connector suite for seamless integration with ESG reporting platforms, sustainability standards (e.g., GRI, SASB), and corporate dashboards
- Role‑based access controls and audit logs to ensure data security and compliance with privacy regulations