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
Faster, More Complete Coverage
Research You Can Trust
How we Exploit Ai?
AI pulls predefined data points from annual reports, sustainability filings, and regulatory documents — mapping them to standardized taxonomies across thousands of issuers at once.
AI scans outputs for inconsistencies, missing disclosures, and year-over-year deviations — flagging issues for analyst review before any data is published.
Disclosures in English, French, German, Japanese, and Arabic are processed within the same workflow — no market excluded due to language.
Boundaries of AI Use
All KPIs, pillar scores, and ESG ratings are produced by our analysts. AI has no role in scoring decisions.
When a disclosure is incomplete, inconsistent, or context-dependent, a human steps in. AI does not make judgment calls.
Client-provided information is never processed by AI systems, and no proprietary data is used to train any model.
Our Core Principles
All AI outputs are reviewed by qualified analysts before being used in the rating process. Analysts have explicit authority to override any AI-generated output.
No AI tool independently determines a final ESG score or rating. Final scores and ratings are strictly confirmed by lead analysts.
We disclose the known limitations and risks of each AI component we use, and the controls we have in place to manage them.
All AI tools are subject to rigorous validation before deployment and are reviewed at least annually.