Solution
For climate data, ESG, and ratings methodology teams: continuous coverage of thousands of disclosure sources, extractions mapped to your master data automatically, with your experts validating cited output instead of watching portals.
The problem
Someone has to watch the portals, notice a new filing, fetch it, and extract the datapoints by hand. Coverage is only as good as the watching.
Subject-matter experts hired for climate assessment spend their time monitoring sources and rekeying disclosures. The process is slow and different for every analyst.
Building comparable, structured climate data across the covered universe was estimated in months — and disclosure standards shift under the project while it runs.
The product, not a promise
How it works
Intelligent web crawlers watch the disclosure sources for new filings from any tracked company.
New documents and web pages are pulled in automatically the moment they appear.
Web page understanding AI reads each disclosure and extracts the required datapoints.
Cross-data linking maps extracted values to the categories in the master data.
Analysts review the structured output, with each value cited to its source.
Who it's for
Climate data analyst
Head of methodology
Data governance & audit
A reputed US-based financial institution active across industry ratings needed climate disclosure data at a scale the manual approach could not survive. Thousands of companies publish disclosures on their own schedules, so someone had to watch the portals, notice a new filing, fetch it, and extract the relevant datapoints by hand. The process was slow and non-standard, it consumed subject-matter experts on robotic monitoring work, and building structured output across all companies was estimated in months.
Botminds took over the robotic layer end to end. Intelligent web crawlers monitor the customer-defined sources and fetch new documents and web pages the moment a company publishes. Web page understanding AI then reads each disclosure — these are far from uniform documents — and extracts the specific datapoints the institution’s methodology requires.
The step that usually stays manual is mapping: raw extractions become useful only when they line up with the categories in the institution’s master data. Cross-data linking does that mapping automatically, so an extracted emissions figure or disclosure statement lands in the right category without a consolidation script or a spreadsheet pass.
The automation exists to stop spending analysts on portal-watching. The structured output goes to subject-matter experts for validation, and because every value is cited back to the disclosure it came from, validating is fast and defensible. Ratings work carries scrutiny; a number the analyst can trace beats a number the analyst has to take on faith.
The months-long estimate for structured climate data collapsed into a running pipeline: new disclosure published, data extracted, mapped, and queued for review the same day. As disclosure standards evolve — and in climate reporting they do — the crawlers and extraction targets adjust with configuration. Continuous coverage of a moving regulatory target, with experts doing only the part that needs them.
Objections, answered
Every extracted value is cited back to the disclosure it came from, so validation is a click, and every mapping to your master categories is recorded. Nothing enters the working dataset until a subject-matter expert has validated it.
The extraction targets and the master data categories are yours. Crawl sources, required datapoints, and mapping rules are configured to your methodology and applied identically across every company covered.
Crawlers and extraction targets adjust with configuration — new fields, new formats, new sources — without a rebuild. That is the property that keeps coverage continuous while the regulatory target moves.
Crawlers point at your defined sources and extraction maps to your categories — configuration measured in weeks. From then on, a new disclosure is extracted, mapped, and queued for review the same day it publishes.
Watch a fresh climate disclosure get detected, extracted, mapped to your categories, and queued for validation — live in the demo.
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