Nare was the youngest employee at the United Nations, working on Financial Inclusion as part of SDGs. Fluent in over 9 languages, she pivoted from Policy and International Relations to Data and Machine Learning in 2014, receiving an MSc in Security from University College London, the home of Google DeepMind.

Since then Nare has Invested and sat on boards of over 45 applied AI startups, ranging from aquaculture optimization to financial research and financial operations automation. She started Ntropy with a mission to organize the world's financial information and has scaled it from processing 20,000 transactions to 100s of millions weekly, parsing billions of dollars in USD value.

Nare often thinks and writes about the future of B2B software and LLMs, focusing on evaluation standards, inference cost and speed problems, as well as second order effects of this transformation such as unit economics, pricing , margins and beyond.