Util
AI-powered research and data for sustainable investing.
- B2B
- marketplace & ecommerce
- commission
- fintech
- wealth management
- financial management solutions
- big data
- deep tech
- machine learning
- artificial intelligence
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor | €0.0 | round |
| investor | €0.0 | round | |
| N/A | €0.0 | round | |
| investor | €0.0 | round | |
| N/A | €0.0 | round | |
| N/A | €0.0 | round | |
| investor investor investor investor investor | €0.0 | round | |
* | $6.0m | Seed | |
| Total Funding | 000k | ||
| USD | 2019 | 2023 |
|---|---|---|
| Revenues | 0000 | 0000 |
| EBITDA | 0000 | 0000 |
| Profit | 0000 | 0000 |
| EV | 0000 | 0000 |
| EV / revenue | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x |
| R&D budget | 0000 | 0000 |
Source: Company filings or news article, Dealroom estimates
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Util is a financial technology company providing data-driven research to help investors understand the social and environmental impact of their portfolios. The firm was founded in 2017 by Patrick Wood Uribe, who serves as the CEO. Uribe, who holds a PhD from the University of Cambridge, has a background in quantitative finance and asset management, having previously worked at Morgan Stanley and as the CEO of Kensho Technologies prior to its acquisition by S&P Global. This experience in both finance and advanced data analysis shaped Util's approach.
The company's core offering leverages artificial intelligence, including machine learning and natural language processing, to analyze vast amounts of academic literature and corporate disclosures. This process maps the products and services of over 50,000 listed companies to the 17 United Nations Sustainable Development Goals (SDGs), quantifying both their positive and negative contributions. Unlike traditional ESG ratings that focus on a company's internal operations, Util's methodology centers on the real-world impact of a company's products and services. The platform provides detailed analytics, such as revenue alignment with specific SDGs and comparisons across companies and industries, enabling investors to make more informed decisions aligned with sustainability objectives.
Util serves institutional investors, including asset managers, wealth managers, and pension funds. Its business model is based on providing this impact data and analytics as a service. By offering a more nuanced and objective measure of corporate impact, Util helps clients enhance their investment strategies, meet regulatory requirements, and improve reporting to stakeholders.
Keywords: sustainable investing, impact investing, ESG data, financial technology, AI in finance, investment research, SDG alignment, portfolio analysis, quantitative analytics, responsible investment, corporate impact data, environmental impact, social impact, asset management tools, Patrick Wood Uribe, natural language processing, machine learning for finance