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Vision & Mission

pkINOVIA edited this page Sep 3, 2025 · 3 revisions

Vision

Report and steer the de-carbonization of our value chain with dedicated measures based on real PCF values, without compromising upstream data sovereignity.

Mission

Addressing supply chain carbon emissions today is missing reliable data about baseline emissions, effect of reductions and best practices. This is due to three reasons:

  • Complexity of supply chains leading to huge amount of data: complex supply chains spanning different countries and actors from many industries lead to huge amounts of data.

  • Lack of trust: unwillingness to share data due to the risk of losing competitive advantage (data is shared with competitors).

  • Missing standards for measuring carbon emissions in a comparable way.

At the core of our project is the recognition of a current challenge - the lack of transparency and accessibility to real PCF information in supply chains. Through our project, we strive to bridge this information gap by establishing a trusted and collaborative and interoperable environment. Suppliers will have the opportunity to share their PCF data with confidence, knowing that it remains sovereign and under their control.

We will address this by working on a trustworthy ecosystem that prioritizes data sovereignity, security and collaboration on standards. Therefore, our mission is to revolutionize the supply chain industry by providing a platform where suppliers can securely share their primary PCF data throughout the supply chain.

We are guided by the following principles:

  • Building trust by making clear rules for data exchange and by pre-agreed data contracts between partners in the value chain.
  • Building trust through data sovereignty and data security. We will build an ecosystem to share minimal data on a need-to-know basis, incorporating 3rd party verification by trusted partners. Decentralized architectures ensure that data remains within companies and is only shared with authorized persons as needed.
  • Governance on the principles of mutual collaboration in the automotive industry and across with all relevant actors of the value chain on the principle of equality between partners, involving relevant outside stakeholders and the scientific community.
  • Flexibility and interoperability by building an ecosystem of interoperable apps based on open standards. Collaborative standards for collecting, calculating and sharing emission and product data make these processes more efficient and comparable.
  • Scalability and manageability of large amounts of data. Decentralized data ecosystems can handle and scale large amounts of data, as decentralized structures are created as required by participating companies.

Use Case Overview

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