Uploaded January 2026 | Updated September 2026, 3 weeks ago
Want to build something similar? https://ai.science/products-services/llm-agents-bootcamp
Thousands of European companies are now required to publish detailed climate disclosures under CSRD and ESRS, covering over a thousand structured data fields. On paper, the data exists. In reality, it’s buried inside 260-page sustainability PDFs that no one can realistically process at scale. Banks, investors, regulators, and analysts need this information to assess climate risk, benchmark companies, and make informed decisions, yet comprehensive datasets still don’t exist.
In this video, I walk through a system I built to solve that exact problem. It extracts high-quality climate data from massive reports in minutes instead of hours, prioritizing accuracy over completeness and flagging uncertainty instead of hallucinating results. Every data point is traceable back to the original document, making validation and review practical at scale.
This isn’t just about CSRD or climate reporting. It’s about unlocking valuable structured data trapped in unstructured documents across finance, healthcare, legal, and beyond. If you’re dealing with document extraction at scale, this problem and solution may look very familiar.
Connect with the builder: linkedin.com/in/gonzalomr
#AI #ClimateTech #CSRD #ESG #DataEngineering #MachineLearning #FinTech #RegTech #ClimateRisk #Automation #Startups #B2B #Sustainability #DataScience
Want to build something similar? https://ai.science/products-services/llm-agents-bootcamp
Thousands of European companies are now required to publish detailed climate disclosures under CSRD and ESRS, covering over a thousand structured data fields. On paper, the data exists. In reality, it’s buried inside 260-page sustainability PDFs that no one can realistically process at scale. Banks, investors, regulators, and analysts need this information to assess climate risk, benchmark companies, and make informed decisions, yet comprehensive datasets still don’t exist.
In this video, I walk through a system I built to solve that exact problem. It extracts high-quality climate data from massive reports in minutes instead of hours, prioritizing accuracy over completeness and flagging uncertainty instead of hallucinating results. Every data point is traceable back to the original document, making validation and review practical at scale.
This isn’t just about CSRD or climate reporting. It’s about unlocking valuable structured data trapped in unstructured documents across finance, healthcare, legal, and beyond. If you’re dealing with document extraction at scale, this problem and solution may look very familiar.
Connect with the builder: linkedin.com/in/gonzalomr
#AI #ClimateTech #CSRD #ESG #DataEngineering #MachineLearning #FinTech #RegTech #ClimateRisk #Automation #Startups #B2B #Sustainability #DataScience
