Betting big on ESG: Female-led London startup Nossa Data secures £300K funding
ESG (Environmental, Social and Governance) is one of the rapidly growing trends in finance. This megatrend is used to assess the performance of a company based on a variety of factors ranging from staff diversity and emissions to safety and health protocols.
London-based Nossa Data simplifies ESG reporting, data management and analytics for corporates. It focuses on its mission to provide companies with technology, which makes it easy for them to manage their Environmental, Social and Governance (ESG) needs.
Raises pre-seed funding
Now, the fintech has raised £300K pre-seed funding from SFC Capital, the Barclays Accelerator, powered by Techstars program and angel investors. The funding from Barclays comes as part of Nossa Data’s participation in the Barclays Accelerator, powered by Techstars unique programme supporting the best in fintech startups to scale their businesses.
The female-led company will use the fresh funds to expand its team and improve the product offering. Also, it will double down the mission of pointing out how companies interact with people and the planet.
What does Nossa Data do?
Founded in June 2020 by Julianne Sloane and Irina Dumitrescu in London, Nossa Data addresses a growing need for companies to more easily manage ESG related requests from investors. By consolidating all the ESG needs into a single place, companies know what they need to do and how they compare to others.
The team worked with investor relations teams at two large publicly listed companies to develop their SaaS platform. Now, it has dozens of conversations going with both public and large private companies in the UK, Europe and North America.
“Everyone is scrutinising companies about their ESG information, it is coming from investors, regulators, customers and even employees,” explained co-founder Julianne. “Investors are looking at more ESG information than ever before – they get access to ESG rating agencies, AI analytics and even have their own proprietary data models. Meanwhile, companies are completely left in the dark trying to figure out how to best package their data via complicated systems of emails, spreadsheets and PDFs.”