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ESG Lens

How do company’s disclosures such as its sustainability report fare when assessed under a global framework? What does an ESG report convey?

Using proprietary multilingual NLP, EMAlpha has developed an ESG Lens to assist analysts and investors looking to analyse company’s self-disclosures and any other relevant text. Now, decode and score any text, any pdf file, in any language and in multiple ESG frameworks. Textual analytics are broken down into framework relevant categories for further granularity.

Multilingual NLP

Any text, any pdf file

Multiple framework scores with granular details

Users can upload their own framework

Use-cases

Analysts and investors looking at making a prudent ESG analysis of a company’s self-disclosure can use ESG Lens to:

Peer group analysis for actionable insights

Perform framework-specific analysis

Spot greenwashing

Benchmark against any company in the world

ESG Data

Using multilingual NLP technology, EMAlpha extracts relevant data from over 50+ developed and emerging markets including US, UK, Japan, China, India, Brazil, and South Korea. Information previously hidden in the local dialect is now accessible to investors, enabling them to take timely action.

Real time news tracking

50+ markets covered

Portfolio analysis

Framework specific analysis

Self-disclosure data and benchmarking

Real time news tracking
50+ markets covered
Portfolio analysis
Framework specific analysis
Self-disclosure data and benchmarking

Use-cases

Asset managers and fund managers looking to implement ESG filter in their investments can use EMAlpha’s ESG data for:

Investment decisions

Risk Management

Thematic ETFs

Compliance

Investment decisions
Risk Management
Thematic ETFs
Compliance