Investing in the Age of AI
EU Taxonomy, Regulatory ComplianceArticles

EU Taxonomy: Looking for Efficient, Accurate Reporting?

Published: October 3, 2022
Modified: October 3, 2022
Key Takeaways

Ensure your EU Taxonomy report is accurate and save time and money by leveraging technology

Whether you are looking for a more efficient way to report on EU Taxonomy, the broadest data coverage in the market, or the most reliable mapping of data to key taxonomy requirements (e.g., NACE code mapping) – you can find all of those with the help of advanced technology.

Download Brochure

First, EU Taxonomy reporting can be complex, but it doesn’t have to be. Often, those reporting are working through at least nine arduous steps to prepare their reports for regulators. What if instead of nine steps, you could do it in three? When the way to report is integrated directly into your workflow, you can experience more than a 50% gain in efficiency – including on the cost to report [See Figure 1].

Figure 1: Clarity AI is more efficient than any other provider


Additionally, solving for data coverage can be a bear. Without the right coverage, reporting certainly won’t be easy – in fact, it may be impossible.  We have not only the largest reported-data database – more than five times as much as the closest competitor – and a full database of more than 40,000 companies [See Figure 2]

Clarity AI' coverage for EU Taxonomy
Figure 2: Clarity AI offers the broadest coverage in the market, with a coverage of reported data 5x more than any other provider

 

Lastly, we see other providers mapping EU Taxonomy activities incorrectly due to their treatment of NACE codes. To learn more about the pitfalls of reporting without leveraging advanced technology, please download our 6-pager to see case studies of inaccurate data in other providers’ systems and how that could affect your EU Taxonomy reporting.

Download Case Studies

Research and Insights

Latest news and articles

AI

What AI Adoption Really Looks Like in Finance: A Conversation at the NYSE

Clarity AI's Lillian Freiberg joins FintechTV at the NYSE to discuss AI adoption, mandate execution, and smarter investment workflows.

AI

What AI Systems Are Actually Made Of: The Architecture Explained

Modern AI systems aren't monolithic. Understanding the four layers they're built from, and what each one does, is how you evaluate tools that actually hold up in production.

Climate

The Truth in the Budget: What Green CapEx Reveals About the Climate Transition

The transition to a low-carbon economy is often framed through commitments: net-zero targets, transition plans, and long-term strategies. However, the pace and credibility of this transition ultimately depend on how capital is allocated.  Capital expenditure (CapEx) provides one of the most tangible indicators of corporate transition progress. Unlike climate targets or transition plans, CapEx reflects…