From Open Data to Accountability

 AI-powered ethical intelligence tracing hidden links between data, decisions, and consequences. 

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    EvidenceBank is a structured, litigation-ready and settlement-oriented system for addressing severe environmental and health harms linked to corporate activities and their financiers.

    Our core purpose is to transform open data, scientific evidence and clearly identified legal duties into concrete, enforceable remedies for affected communities – while minimising risk and burden for those communities.

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    Our AI engine scans open repositories to identify anomalies, inconsistencies, and early signs of ethical or environmental breaches.

    Graph algorithms and semantic analysis link scattered data points into coherent chains of accountability, revealing how causes and effects traverse sectors and borders.
     

    Each connection is verified, timestamped, and checksum-secured, producing a reproducible EvidencePacks compliant with OECD, CSRD, and CSDDD standards.

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    EvidenceBank reveals the links that powerful actors overlook — or prefer to hide.
    Our engine reads across scientific, financial, and policy datasets to trace how corporate decisions translate into real harm for communities and the environment.

    Using our patented Evidence-as-a-Service methodology, EvidenceBank reconstructs these hidden causal chains in days instead of months, giving affected communities and their legal allies fast, verifiable, and court-ready evidence.

    By turning open data into a living accountability map, EvidenceBank accelerates access to justice and ensures that environmental and social harm can no longer be ignored, diluted, or delayed.

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     Environment: Detect unreported emissions or ecological degradation using satellite and audit data.

    Social: Trace supply-chain labour risks from trade databases and NGO datasets.

    Governance Cross-check financial aid, policy clauses, and public-fund usage for compliance gaps.

    Public Policy Provide early-warning intelligence to governments and development agencies. 

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     Every CasePack built by EvidenceBank relies exclusively on open, verifiable, and legally accessible data sources.


    This ensures full transparency, reproducibility, and public trust — the foundations of ethical AI and modern governance.

    Nothing to hide. Everything to verify.

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     Lawyers, researchers, and institutions are invited to join the EvidenceBank Network to help enforcing ESG Accountability 

    Why Now?

    The entry into force of new EU sustainability laws is turning data transparency into legal liability — and EvidenceBank provides the first AI infrastructure to bridge that gap between open data and enforceable accountability.  

Features

  • Evidence-as-a-Service (EaaS)

     on-demand generation of verifiable Evidence Packs. 

  • AI Evidence Engine

     machine reasoning to detect, classify, and connect risk signals. 

  • Chain of Custody

     cryptographic validation of every document and dataset. 

  • Ethical Scoring

    Alignment with Ethigrality’s preservation principles. 

  • Open Data Integrity

    100 % public, reproducible, legally accessible sources. 

  • Compliance Alignment

     native support for CSRD, CSDDD, OECD, ISO 26000. 

Explore the whole chain

Trust

From Chaos to Ethics
Trust

Coherence

From Ethics to Intelligence
governance engine

SDG 2.0

From Intelligence to Public Use
field systems

ESG 2.0

From Intelligence to Business Use

Evidence

Intelligence for Accountability
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