View all newsletters
Clarity AI is a sustainability technology platform that uses machine learning and big data to deliver environmental and social insights to investors and organizations. As of March 2022, Clarity AI’s platform analyzes more than 30,000 companies, 200,000 funds, 198 countries and 187 local governments, and delivers data and analytics for investing, corporate research and reporting. Clarity AI has offices in the US, Europe and the Middle East. Clarity AI’s client network manages trillions in assets under management.
Clarity AI empowers investors and companies with a scalable, comprehensive, customizable Sustainability Tech Kit — a one-stop-shop for assessment, analysis, and reporting.
Clarity AI provides: 1- Powerful, scalable AI at the core: Leveraging Natural Language Processing and Machine Learning to analyze more than 2 million data points bi-weekly, perform reliability checks, and run estimation models at scale.
2- Reliable, transparent, and unique data: Extensive and unique coverage, up to 3 times more than alternatives, including 30,000+ companies, 200,000+ funds, 198 countries, and 187 local governments.
3- Scientific and evidence-based methodologies: Research & data science expertise with a global team of sustainability and data science experts working to innovate, create, deploy and maintain tools and scores.
4- Robust, fully-customizable tech kit: A sophisticated, yet easy solution with crystal clear scores and access to full bottom-up granularity (data & methodologies).
Clarity AI is a digital-native firm and can therefore easily adapt to the quick pace of change of technology and of sustainability assessment and reporting requirements.
This paper provides insights into the green economy sector. The first section evidences the merits of a data science approach for EU taxonomy reporting, while the second dives into the EU taxonomy performance of a subset of 31,000 equity funds using Clarity AI insights.
This white paper focuses on the challenge of measuring impact as a key means of bridging the gap between impact investment theory and practice, and identifies the UN's Sustainable Development Goal (SDG) framework, which comprises 17 goals and 169 targets, as a way to structure company impact assessments.
This white paper reviews some of the most prominent impact management and measurement frameworks developed by leading institutions with the aim of identifying a baseline for what constitutes impact investment. It also compares the current state of 'impact-branded' investment practices by listed equity investors to the criteria identified in the baseline, to assess the level of misalignment in the interpretation of impact in theory versus practice.
This white paper from Clarity AI looks at how data science can enable Sustainable Finance Disclosure Regulation reporting.
In light of new requirements regarding TCFD-aligned disclosures in the UK, the international investment community is monitoring developments closely. Clarity AI’s product manager for climate solutions, Jaime Calero, discusses the potential challenges and opportunities arising for investors – and why other markets must soon follow suit.
By Lead Monitor
‘Compliance’ is well established as one of the biggest words in wealth management. But, with the climate crisis now front and centre, and corporate behaviour under scrutiny like never before, its scope and strategic importance has changed markedly.
By Lead Monitor
What role can AI play in overcoming the uncertainties ESG ratings still present, empowering more informed investment decisions and helping bring societal impact to markets? Clarity AI’s head of data science, Ron Potok, discusses how data science promises a more comprehensive, granular and equitable approach to ESG investment.
By Lead Monitor
High net worth individuals are increasingly demanding to know precisely how sustainable their portfolios are, but wealth managers have traditionally struggled with the complexity of offering the granular view of ESG metrics such visibility requires. Rodolphe Bocquet of Clarity AI discusses efforts being made to integrate total transparency into one’s models – and the implications of a failure to do so.
By Lead MonitorThank you for submitting the form. Your enquiry will be submitted to the company.
