Uploaded February 2026 | Updated September 2026, 2 weeks ago
Join the next cohort and build something like what you see in this demo:
https://ai.science/products-services/llm-agents-bootcamp
CSRD and ESRS have forced thousands of European companies to publish detailed sustainability data, covering more than 1,100 structured fields across emissions, energy targets, and disclosures. On paper, the data exists. In practice, it’s buried inside 260-page PDFs with inconsistent structures, invisible gaps, and no way to validate completeness or correctness. This creates the same bottleneck for everyone, from portfolio managers making investment decisions to sustainability analysts building benchmarking reports.
In this video, I introduce EaseYa, a validation layer designed to solve the trust problem in ESRS data. Instead of focusing only on extraction, the system validates, merges, and certifies data against European standards, surfacing gaps and eliminating hallucinations before the data is used. The result is a standardized silver layer that acts as a certified source of truth, complete with confidence scores and validation status for every field.
With trustworthy ESRS data, teams can move beyond PDFs to real insights, automated benchmarking, and prioritized climate actions. This approach turns regulatory reporting into decision-grade intelligence, enabling faster, more confident sustainability and investment decisions at scale.
Connect with the builder: linkedin.com/in/gonzalomr
#ESRS #CSRD #ClimateData #Sustainability #FinTech #ClimateTech #AI #DataEngineering #RegTech #ESG #InvestmentManagement #EnterpriseAI #DataValidation
Join the next cohort and build something like what you see in this demo:
https://ai.science/products-services/llm-agents-bootcamp
CSRD and ESRS have forced thousands of European companies to publish detailed sustainability data, covering more than 1,100 structured fields across emissions, energy targets, and disclosures. On paper, the data exists. In practice, it’s buried inside 260-page PDFs with inconsistent structures, invisible gaps, and no way to validate completeness or correctness. This creates the same bottleneck for everyone, from portfolio managers making investment decisions to sustainability analysts building benchmarking reports.
In this video, I introduce EaseYa, a validation layer designed to solve the trust problem in ESRS data. Instead of focusing only on extraction, the system validates, merges, and certifies data against European standards, surfacing gaps and eliminating hallucinations before the data is used. The result is a standardized silver layer that acts as a certified source of truth, complete with confidence scores and validation status for every field.
With trustworthy ESRS data, teams can move beyond PDFs to real insights, automated benchmarking, and prioritized climate actions. This approach turns regulatory reporting into decision-grade intelligence, enabling faster, more confident sustainability and investment decisions at scale.
Connect with the builder: linkedin.com/in/gonzalomr
#ESRS #CSRD #ClimateData #Sustainability #FinTech #ClimateTech #AI #DataEngineering #RegTech #ESG #InvestmentManagement #EnterpriseAI #DataValidation
