# 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.

- **Founded:** 2018
- **Headquarters:** San Mateo, California, United States
- **Founders:** Ryohei Fujimaki (Founder & CEO), Yukitaka Kusumura (Co-Founder, Principal Research Engineer), Masato Asahara (Co-Founder, Principal Product Manager)
- **Team size:** ~88 employees
- **Products:** dotData Enterprise, dotData Feature Factory, dotData Insight, dotData Ops
- **Notable:** Spun out of NEC Corporation in 2018 to commercialize automated feature engineering research., Raised $74.6M total across Series A and Series B from investors including Goldman Sachs, Otsuka, and Sumitomo Mitsui institutions., Helped a global financial institution (SMBC) scale data science projects roughly 40x, generating about 2 million features per year.

## Products & services

- **dotData Enterprise** — No-code enterprise data science platform that automates feature engineering and machine learning, letting teams build explainable predictive models and deploy them on private cloud or a managed environment. Version 4.0 shipped a redesigned predictive-analytics UX in 2025.
- **dotData Feature Factory** — A Python-based engine for AI-powered feature discovery that automatically generates and ranks thousands of features across multiple tables and time-series data, with expanding LLM support (Amazon Bedrock, Claude).
- **dotData Insight** — An AI-driven insight-discovery platform augmented with generative AI that surfaces hidden data signals and translates them into testable business hypotheses. Later versions add AI Driver Stacking, AI Drill-down, and native Snowflake and Salesforce integration.
- **dotData Ops** — A fully managed, single-tenant MLOps offering delivering agile analytics with high-reliability uptime and dedicated-environment security.

## Achievements

- Spun out of NEC Corporation in 2018 to commercialize automated feature engineering research.
- Raised $74.6M total across Series A and Series B from investors including Goldman Sachs, Otsuka, and Sumitomo Mitsui institutions.
- Helped a global financial institution (SMBC) scale data science projects roughly 40x, generating about 2 million features per year.
- Pioneered the 'AutoML 2.0' category by automating feature engineering, not just model selection.
- Integrated generative AI across its product line ahead of many enterprise data science peers.

## Latest updates

- **2026-01** — Announced dotData Insight 2.1 with native Snowflake integration, AI Drill-down Analysis, and support for the latest generative AI models including Gemini 3 and GPT-5.2.
- **2025-07** — Released dotData Insight 1.4 with AI Driver Stacking, Snowflake and Salesforce connectors, private-cloud self-deployment, and Amazon Bedrock support.
- **2025-04** — Launched dotData Enterprise 4.0 with a fully redesigned predictive-analytics UX and Feature Factory innovations.
- **2025-02** — Shipped dotData Feature Factory 1.3 with enhanced AI-powered feature discovery, automated text processing, and expanded LLM support including Amazon Bedrock and Claude 3.5.
- **2024-09** — Added generative-AI-powered data transformation via natural language across its products.

## Links

- Website: https://dotdata.com
- LinkedIn: http://www.linkedin.com/company/dotdatainc
- Twitter/X: https://twitter.com/DotDataUS
- YouTube: https://www.youtube.com/channel/UCWlSt3AjK5Cq0kFxDvljOKw
- Facebook: https://www.facebook.com/dotData/

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Profile page: https://yespress.io/dotdata
Published by YesPress — https://yespress.io
Last updated: 2026-07-12