From Open Data to Accountability

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

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    EvidenceBank is an independent analytical and governance infrastructure designed to support accountability, policy coherence, and decision traceability in the face of severe environmental, social, and health risks.

    It transforms open data, scientific evidence, and clearly identified legal obligations into verifiable, reproducible, and auditable evidence chains, enabling public authorities, oversight bodies, courts, and affected communities to assess compliance and responsibility under existing law.

    Where appropriate, these evidence chains can support enforcement, remediation, and settlement processes, while minimising risk and burden for affected communities.

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    EvidenceBank supports institutional oversight by transforming fragmented public information into structured, traceable evidence relevant to existing legal and policy obligations.

    Its analytical engine scans open and legally accessible repositories to identify inconsistencies, anomalies, and early indicators of potential environmental, social, or governance risks, as they emerge across sectors and jurisdictions.

    Using transparent analytical methods, EvidenceBank links these data points into coherent chains of accountability, making visible how decisions, policies, and financial flows produce cross-border effects.

    Each analytical connection is documented, timestamped, and reproducible, producing EvidencePacks aligned with OECD guidelines, CSRD reporting requirements, and CSDDD due-diligence obligations, and suitable for use by public authorities, oversight bodies, and courts.

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    EvidenceBank is an analytical and governance infrastructure that transforms fragmented open and legally accessible information into structured, traceable evidence relevant to existing legal and policy obligations.

    Its engine analyses scientific, financial, and policy datasets to identify inconsistencies and early indicators of environmental, social, and governance risk, and to reconstruct documented chains linking decisions, flows, and observed impacts across sectors and borders.

    Using an Evidence-as-a-Service methodology currently covered by a temporary patent filing, EvidenceBank produces reproducible EvidencePacks within short timeframes, with each analytical connection documented, timestamped, and verifiable.

    By converting open data into a continuously updated accountability map, EvidenceBank strengthens decision traceability and supports timely, reviewable, and legally defensible responses by public authorities, oversight bodies, and courts, in alignment with OECD guidance and EU sustainability and due-diligence frameworks, including CSRD and CSDDD.

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    EvidenceBank supports institutional oversight, policy coherence, and decision traceability across environmental, social, governance, and public policy domains by converting fragmented open data into documented, reproducible evidence.

    Environmental - Detects emissions and ecological degradation risks by cross-analysing satellite imagery, monitoring data, audits, and regulatory disclosures, helping verify whether identified risks are coherently reflected in decisions and enforcement.

    Social - Links trade data, supply-chain disclosures, and labour-risk indicators to flag social and labour-rights risks in value chains and highlight gaps between due-diligence expectations and institutional follow-through.

    Governance - Cross-checks public funding, financial assistance, conditionalities, and safeguard clauses against applicable requirements to identify compliance gaps and weak traceability in the use of public resources.

    Public Policy -Supports early-warning and coherence analysis across governance levels through a ā€œzoom-in / zoom-outā€ approach, enabling risks identified by monitoring bodies to be assessed within broader legal frameworks and decision pathways.

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    EvidenceBank is built around a simple principle: claims must be verifiable.

    For that reason, EvidenceBank uses only open and legally accessible sources, and documents each analytical step so that results can be independently reproduced.

    This approach supports institutional oversight, reduces evidentiary disputes, and strengthens the defensibility of decisions taken under existing legal and policy obligations.

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    EvidenceBank brings together legal practitioners, researchers, and public institutions working on accountability, policy coherence, and decision traceability under existing legal frameworks.

    The network provides a structured environment for sharing methodologies, testing evidence standards, and strengthening the use of open, verifiable data in oversight, compliance, and remedial processes.

    Why now

    The entry into force of EU sustainability and due-diligence legislation is transforming data transparency into a core element of legal and policy compliance.
    This creates a growing need for reliable infrastructures capable of linking disclosed information, monitoring outputs, and legal obligations in a traceable and reproducible manner.

    EvidenceBank addresses this need by providing an analytical backbone that supports institutional oversight, legal defensibility, and coherent application of existing ESG-related frameworks.

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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