When Sebastian Kanovich co-founded Latin American digital payments startup dLocal in Montevideo in 2016, he struggled to get global retailers to take him seriously.. | October 22, 2021
When Sebastian Kanovich co-founded Latin American digital payments startup dLocal in Montevideo in 2016, he struggled to get global retailers to take him seriously.
Sequoia has only made a half dozen Latin American investments - including Nubank and Rappi - but Sonya Huang, a partner at the venture capital firm, said it planned to back one or two companies a year, in sectors such as finance, e-commerce, health and education. "The region is very different from the U.S. or Europe, but there are some big theses which have proved right globally - like digital or mobile-first banking - and they can be applied in the region," Huang told Reuters.
Streamlit Transforms How Data Scientists Share Data, Raises $35 Million in Funding Led by Sequoia
April 07, 2021 12:07 ET | Source: Streamlit Streamlit San Francisco, California, UNITED STATES
SAN FRANCISCO, April 07, 2021 (GLOBE NEWSWIRE) Streamlit, the creators of the fastest and most powerful app framework for machine learning and data science, today formally introduced Streamlit for Teams, the company’s first commercial product. Streamlit for Teams lets data scientists instantly deploy and share apps with teammates, clients and other stakeholders so they can make rapid, data-informed decisions based on the insight from the apps. As of today, the new Teams product is moving out of developer preview into beta before launching later this year.
Streamlit nabs $35M Series B to expand machine learning platform
As a company founded by data scientists, Streamlit may be in a unique position to develop tooling to help companies build machine learning applications. For starters, it developed an open source project, but today the startup announced an expanded beta of a new commercial offering and $35 million Series B funding.
Sequoia led the investment with help from previous investors Gradient Ventures and GGV Capital. Today’s round brings the total raised to $62 million, according to the company.
Data scientists can download the open source project and build a machine learning application, but it requires a certain level of technical aptitude to make all the parts work. Company co-founder and CEO Adrien Treuille says that so far the company has 20,000 monthly active developers using the open source tooling to develop streaming apps, which have been viewed millions of times.