Speransky Intelligence
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EMPIRICAL RISK INTELLIGENCE
We bypass PR noise. Our proprietary engine parses U.S. federal agency records and court dockets to quantify the empirical gap between sustainability claims and actual legal liabilities.
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Public ESG Claim (Starbucks Corp.):
"Pledged 100% ethically sourced coffee & partner-first workplace culture."
Empirical Reality (Risk Index):
27/100
• Federal forced-labor (TVPRA) lawsuit over Brazilian farm debt bondage.
• $38.9M NYC settlement for 500,000+ automated scheduling violations.
• Hundreds of NLRB complaints masked as "remote" in SEC filings.
Our algorithmic framework evaluates public legal data across four distinct pillars to calculate empirical operational divergence.
Traceability (30%)
Supply chain transparency and tier 1-3 contractor disclosure.
Due Diligence (25%)
Verifiable proactive risk mitigation vs. decorative compliance.
Remedy (25%)
Empirical proof of direct financial compensation to affected parties.
History (20%)
Patterns of recurring regulatory non-compliance and litigation.
Uncover the empirical data and legal liabilities hidden behind "100% Ethical" claims.
Disclaimer: Our algorithmic discrepancy reports are based strictly on public data. They do not constitute legal findings or claims of misconduct.
© 2026 Speransky Intelligence (Global Data Intelligence LLC).