Tracestory offers an end-to-end digital data integration platform for supply chains, creating a verifiable record of product origin and transformation. It simplifies data visualization, automates regulatory compliance, and integrates disparate data sources to enhance quality control and build consumer trust.
Funding
Funding not disclosed
Founders
Product
Problem
Supply chains often lack a unified, verifiable record of product origin and transformation, leading to challenges in regulatory compliance, quality assurance, and consumer trust. This opacity hinders efficient data visualization and integration across diverse data sources.
Solution
Tracestory provides an end-to-end digital data integration platform for supply chains, establishing a reliable and transparent record of product provenance and processing. The platform facilitates simplified data visualization, automated regulatory compliance verification against standards like EUDR and ISCC, and seamless integration with disparate data sources, including IoT devices and existing cloud infrastructure. By leveraging technologies such as GIS for land verification and LLM/RAG for enhanced data analysis, Tracestory empowers businesses to improve quality control, demonstrate sustainability claims, and build consumer confidence through auditable product histories. The system is designed for cloud-based deployment, requiring no additional software or hardware installation.
Target Audience
Tracestory serves agricultural producers, industrial manufacturers, and supply chain stakeholders seeking to enhance transparency, ensure regulatory compliance, and build consumer trust through verifiable product data.
Features
- End-to-end digital data integration for supply chains, creating a verifiable record of product origin and transformation.
- GIS-based land verification for due diligence, supporting compliance with regulations such as EUDR and 2BSvs.
- TraceCloud ecosystem for integrating public, private, and local cloud data, enabling advanced analytics, AI, and ML.
- Modular and scalable architecture to accommodate simple products with few transformations or complex value chains.
- Blockchain integration for data integrity and document/NFT ownership verification.
- Utilization of LLM and RAG for enhanced data analysis and accessibility.
- Support for multiple data input methods: manual entry, bulk import, API integration, and IoT devices.
- Collaborative traceability features allowing multiple actors to contribute and consume data.
- Cloud-native deployment with no requirement for on-premise software or hardware installation.