The only integrated platform addressing EU AI Act, CSRD/ESRS, GDPR, metadata standardisation, template validation and AI agent auditing — founded by a former Shell Chief Data Officer.
Five interconnected problems that no single tool has solved — until now.
ESG, AI governance and regulatory reporting teams use different definitions for the same underlying data. Reconciliation is manual, slow and audit-risky.
EU AI Act, CSRD, GDPR and MiFID II intersect — but most organisations tackle them in silos, duplicating effort and missing cross-cutting risks.
ESG and regulatory disclosures rely on manually maintained templates. Errors propagate into board packs, regulator submissions and investor reports.
Agentic AI is deployed without risk registers, conformity assessments or audit trails — leaving organisations exposed under the EU AI Act.
Teams use synthetic data for testing with no metadata lineage, no supplier standards and no traceability — undermining model validation and audit confidence.
50,000+ UK firms in CSRD scope · 35,000+ need EU AI Act tools · £48B GRC market by 2027
See Our Solution →Each pillar is a fully standalone service — but designed to work together seamlessly across your compliance landscape.
Dual CSRD + EU AI Act readiness in a single platform. Auto-scoping, ESRS questionnaire, AI risk tier classification and unified gap heatmap.
EU AI Act incident and risk register. AI system catalogue, conformity evidence vault and regulator-ready audit packs.
GDPR + AI Privacy obligations manager. ROPA builder, DPIA workflow, Art. 22 checker and 72-hour ICO breach notifier.
A common semantic layer across ESG, AI governance and regulatory reporting. Business glossary, data dictionary, cross-domain entity resolution.
400+ validation rules across ESRS, EU AI Act, GDPR and MiFID II. RAG-coded gap reports, remediation guidance and timestamped audit certificates.
Structured assessment of your AI systems against EU AI Act requirements. Inventory, risk classification, governance gap analysis and board briefing.
ESRS materiality assessment, data quality audit, reporting workflow review and CSRD gap analysis. Board-level ESG narrative review included.
Governance audit for autonomous and agentic AI systems. Action log review, human-in-the-loop assessment, high-risk classification and conformity evidence.
End-to-end review of your regulatory reporting data flows and templates against REMIT, EMIR, MiFID II and CSRD obligations.
Every DataConscious AI service is built on a unified framework that maps data governance, AI governance and agentic AI governance to your regulatory obligations.
A dedicated portal connecting synthetic data suppliers, buyers and governance professionals — with a hosted metadata repository as a service. No blockchain. Fully governed.
Curated directory of vetted suppliers. Sector-specific datasets for Energy, Finance, Retail, Insurance. ESG & AI governance model testing datasets. Direct procurement workflow.
Hosted, governed metadata catalogue. ISO 11179 & DAMA-DMBOK schema standards. Dataset cards with provenance, generation method, coverage and bias flags. API access.
EU AI Act Art. 10 alignment. GDPR-compliant certified synthetic sets. Data quality scoring. Audit-ready dataset certification for model validation.
DataConscious AI was founded by Udita Singh — a former Chief Data Officer at Shell PLC and Senior Director at NTT DATA, with deep expertise across energy trading, financial services, ESG and AI governance.
Meet Udita →Fortune 100 energy company. Enterprise data strategy, AI governance, ESG data programmes.
Head of Data Governance & Data Management. DAMA-DMBOK frameworks, enterprise metadata strategy.
Energy trading data governance, REMIT/EMIR/MiFID II compliance, ETRM data strategy.
Board-level competencies across finance, risk, strategy, AI governance and executive coaching.
Three ways to start your DataConscious AI journey.