Data Science Startups
32 companies tagged Data Science, with their investors and founders.
MinusX builds a data agent platform designed around quantitative knowledge work, where an AI agent serves as the primary interface with a malleable BI layer. The product targets founders, data teams, and companies building domain-specific intelligence applications.
1 investor
Mito is a spreadsheet-to-Python code generation tool that lets teams automate data workflows using a familiar spreadsheet interface within Jupyter environments. It generates production-ready Python code for data ingestion, transformation, and visualization without requiring users to learn new programming skills.
1 investor
Neptyne is a spreadsheet application with an integrated Python environment that allows users to write code alongside traditional spreadsheet formulas, with AI assistance for non-programmers. It enables users to build data-driven applications ranging from financial models to machine learning systems within a familiar spreadsheet interface.
1 investor
Percival develops an AI assistant that helps researchers process and interpret real-world datasets for analytical purposes.
1 investor
Preloop provides tools to automate the deployment of machine learning models from experimental stages into production environments, enabling teams to focus on model development rather than infrastructure work.
1 investor
Quary provides an in-browser platform for analytics engineering that allows data analysts to develop, test, and deploy data models without leaving their browser, enabling them to work more independently from data engineering teams.
1 investor
Vizly provides AI-powered tools that transform data into visualizations, statistical analyses, and predictions. It serves researchers, professors, data analysts, and business leaders seeking to interpret datasets more quickly.
1 investor
Zoa Research develops quantitative forecasting models using large-scale AI to identify patterns across domains. The company applies its models to financial trading and aims to advance scientific decision-making through improved forecasting.
1 investor