ESG Research Services

We research and compile data related to emissions, resource use, and waste generation (such as greenhouse gas emissions, air pollutants, water withdrawal, etc.). Each figure is sourced from company disclosures, filings, or public environmental data, and logged with its source, so your reporting team can trace where every number came from. Where a company reports emissions under a different scope boundary than your taxonomy expects, we flag the mismatch for your reference.

We aggregate workforce and welfare data directly from corporate sustainability reports, public filings, and disclosures. This includes key ESG metrics such as headcount by gender, women in management, injury and fatality rates, trade union representation, employee turnover, and workforce growth. Because reporting timelines vary across organizations, we anchor every data point with its specific disclosure date and a verifiable source document trail to ensure full traceability.

Corporate governance data is most often buried in dense legal-filing language. Our team manually reviews and collects such records by researching board composition, audit fees, litigation expenses, lobbying, and political donations. Additionally, we evaluate core corporate frameworks, including codes of conduct, human rights commitments, anti-corruption measures, and environmental policies, to deliver a clear picture of corporate accountability.

We assess corporate exposure to critical ESG risks by mapping company operations against geographic, sector-specific, and supply-chain vulnerabilities. Our team tracks operational footprints to identify assets located in water-stressed regions, high-biodiversity zones, or areas prone to severe climate events. We also research involvement (direct production and indirect participation) in controversial weapons, tobacco, gambling, or sanctioned regions, needed to evaluate systemic risk.

When gaps or anomalies exist in public corporate disclosures, we apply industry-standard estimation methodologies to complete your dataset. Whether calculating Scope 3 emissions based on procurement spend or estimating energy consumption using regional and sector averages, our calculations are fully transparent. Every estimated data point is clearly flagged, paired with the underlying formula and the raw data points used, so that you can verify the chain of logic behind each estimation.

Sustainability disclosures are fragmented across websites with inconsistent architectures, unstructured PDF-only reports, and restrictive regulatory portals. Rather than relying on generic web crawlers that miss critical details, we deploy a hybrid approach combining custom automated scraping scripts with targeted manual research. This ensures we extract the exact data required and can maintain a verifiable audit trail.

To ensure data accuracy, every collected data point undergoes cross-checking against independent secondary sources before delivery. When data discrepancies occur, we intentionally log and preserve the mismatch, providing your team with total visibility into where and why specific disclosures are contested or inconsistent.

Raw ESG data arrives in a chaotic mix of units, naming conventions, and reporting metrics. We normalize all data points, standardize metrics, currency conversions, units of measure, and date formats, and resolve duplicate or conflicting records, delivering a clean, uniform dataset that integrates seamlessly into your existing infrastructure.