Our AI Approach

AI Innovation, Human Accountability

At IdealRatings, we leverage advanced artificial intelligence to elevate our data capabilities without compromising on the human expertise our clients rely on. By combining machine efficiency with strict analyst validation, we process massive volumes of global ESG data rapidly and accurately—ensuring our research remains innovative, reliable, and completely transparent.

Why we use Ai

Greater Accuracy at Scale

AI processes disclosures across 40,000+ global issuers — extracting, normalizing, and cross-referencing data consistently, at a scale no manual process can match.

Faster, More Complete Coverage

Automated structuring accelerates the research cycle and keeps pace with growing disclosure volumes — so clients get what they need, sooner.

Research You Can Trust

Every AI output is reviewed and signed off by our analysts before it reaches you. AI increases our capacity. Our team owns the conclusions.
How we Exploit Ai?

Structured Extraction

AI pulls predefined data points from annual reports, sustainability filings, and regulatory documents — mapping them to standardized taxonomies across thousands of issuers at once.

Anomaly Detection

AI scans outputs for inconsistencies, missing disclosures, and year-over-year deviations — flagging issues for analyst review before any data is published.

Multilingual Research

Disclosures in English, French, German, Japanese, and Arabic are processed within the same workflow — no market excluded due to language.

Boundaries of AI Use

Scoring & Rating Decisions

All KPIs, pillar scores, and ESG ratings are produced by our analysts. AI has no role in scoring decisions.

Contextual & Methodological Judgment

When a disclosure is incomplete, inconsistent, or context-dependent, a human steps in. AI does not make judgment calls.

Client Data & Confidentiality

Client-provided information is never processed by AI systems, and no proprietary data is used to train any model.

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