Treefera provides a First Mile Intelligence Platform that decodes plot-level agricultural and soft commodity data into near real-time risk and market intelligence. The platform uses AI and satellite analysis to quantify how weather volatility and land performance impact supply and price outcomes. This granular insight enables organizations to precisely price risk, allocate capital, and anticipate supply chain disruptions across sourcing, trading, and investment activities.
Funding
$30M 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.
Founders
Product
Problem
Many businesses lack transparent and auditable data for nature-based assets within their supply chains, hindering their ability to ensure resilience and comply with evolving international regulations. The complexity of global supply chains and the increasing frequency of environmental risks make it difficult to gain rapid insights and make informed decisions about sustainability.
Solution
Treefera offers an AI-powered data management platform that provides comprehensive analytics for real-world assets, enabling businesses to optimize supply chains and accelerate decarbonization efforts. The platform delivers transparent, auditable insights into the end-to-end chain of custody, allowing users to assess and monitor the impact of events on supply chain resilience. By integrating multiple data sources with international regulations, Treefera helps businesses ensure compliance, manage exceptions, and identify potential areas of non-compliance and risk. The platform also facilitates carbon credit insetting and offsetting by restoring trust and transparency in carbon projects and processes.
Target Audience
Treefera targets businesses and organizations involved in global supply chains, particularly those seeking to enhance resilience, ensure regulatory compliance, and optimize their environmental impact. This includes companies in commodity industries, insurance providers, and organizations involved in carbon credit projects.
Features
- AI-driven analytics for rapid insights and risk assessments
- Comprehensive, transparent, and auditable chain of custody analytics
- Integration of multiple data sources with international regulations (EUDR, CBAM, CSDDD)
- Risk assessment and monitoring of events impacting real-world assets and supply chain resilience
- Forecasting of probable damage from risk events
- Compliance evaluation by jurisdiction, commodity, and regulation
- Detection of non-compliance, risks, and anomalies
- Monitoring and forecasting for carbon project feasibility and credit issuance
- Dynamic baselining against the latest registry standards
- Precise visualizations and analytics