data-science-automation
(2)
Pecan AI
Pecan AI is an Israeli-American software company that builds a predictive analytics platform aimed at business teams rather than data scientists. Founded in 2018 by computational-neuroscience PhDs Zohar Bronfman and Noam Brezis, Pecan combines automated machine learning with large language models - a category it calls Predictive GenAI - so analysts can describe a business problem in plain language and get production-ready predictive models for churn, customer lifetime value, demand forecasting, lead scoring and campaign ROI. The company has raised roughly $127M, including a $66M Series C in 2022 led by Insight Partners with GV and GGV Capital, and in 2025 launched DemandForecast.ai for supply-chain forecasting.
dotData
dotData is a Silicon Valley enterprise AI company that automates the most time-consuming part of data science: feature engineering. Spun out of NEC Corporation in 2018 and led by founder Ryohei Fujimaki, dotData builds software that automatically discovers signals hidden across multiple data tables and turns them into predictive features and business hypotheses. Its products - dotData Enterprise, Feature Factory, and the generative-AI-powered dotData Insight - let analysts and data scientists build models and surface KPI drivers in a fraction of the usual time, and are used heavily in financial services, insurance, manufacturing, retail, and telecom.