DotData
DotData is a private AI software company founded in 2018 that provides automated feature engineering and no-code predictive analytics platforms, serving enterprise customers in banking, insurance, manufacturing, and telecom across Japan and the US.
- Company typePrivate
- Founded2018
- HeadquartersTokyo, Japan
- Headcount—
- GTM typeB2B
- OfferingSoftware
What DotData does
DotData, Inc. is a private AI software company founded in 2018 by Ryohei Fujimaki, formerly the youngest principal researcher at NEC Corporation, and headquartered in San Mateo, California with a regional headquarters in Tokyo. The company's core technology is a proprietary Feature Auto Design (AutoFE) engine that automatically discovers and extracts predictive features from multi-table, relational, and temporal business data — automating the most time-consuming stage of the machine learning lifecycle and producing transparent, explainable outputs in hours rather than months. Around this engine, dotData has built a full AI platform portfolio covering no-code predictive modeling (dotData Enterprise), reusable feature asset management (dotData Feature Factory), business-user analytics with generative-AI hypothesis generation (dotData Insight), MLOps (dotData Ops), fully managed SaaS delivery on AWS Japan (dotData Cloud), real-time streaming predictions (dotData Stream), and LLM-powered text structuring (dotData TextSense), with native integrations for Databricks, Snowflake, and Salesforce.
The company generates revenue primarily through enterprise annual subscriptions for its platform products (with flat, user-count-agnostic licensing designed to drive company-wide deployment), supplemented by SaaS delivery through dotData Cloud and professional services such as its Business Analytics human resource development training program. Distribution combines direct enterprise sales with a strategic NEC Corporation partnership in Japan (including co-delivered DX training), and channel reach through co-branded integrations with Databricks, Snowflake, and Salesforce. DotData serves large enterprise customers across banking (SMBC, Sumitomo Mitsui Trust Bank, MUFG), insurance (Mitsui Sumitomo MSIG), manufacturing (Yokohama Rubber, JFE Steel, Kirin Brewery), retail (Lawson), aviation MRO (JAL Engineering), and technology distribution (Otsuka Shokai, ELECOM, NRI, INTEC), and is recognized in the Forbes AI 50 (2024), CB Insights Top 100 AI Startups (2020), and the Newsweek AI Impact Awards (2026).
DotData firmographics
Firmographics- Name
- DotData
- Legal name
- DOTDATA, INC
- Website
- https://jp.dotdata.com
- Company type
- Private
- Founded year
- 2018
- Operating status
- Operating
- Short description
- DotData is a private AI software company founded in 2018 that provides automated feature engineering and no-code predictive analytics platforms, serving enterprise customers in banking, insurance, manufacturing, and telecom across Japan and the US.
- Ownership category
- akta.pro rank
DotData industry classification
Industry- Product category
- Automated Machine Learning Platforms
- NAICS
- Software Publishers (5132), Software Publishers (51321), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- Model Development & Training Platforms (AutoML, Notebooks, Feature Stores) (HDAEANAB)
- akta.pro secondary industries
- AI/ML Engineering & Model Development Services (BPAEAHAF), Augmented Analytics & AI-Assisted BI (NLQ/NLG, Insights) (HDAEAMAD), iBPMS (Intelligent BPM Suites) & Process Automation Suites (HDAEAHAG), Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH)
Keywords
Where DotData is headquartered
LocationHeadquarters
- HQ city
- Tokyo
- HQ country
- Japan
- HQ region
- Asia
Offices2 records
Markets served
DotData business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Marketing or Sales, Operations, Infrastructure
Revenue model
- AI Platform SaaS Subscriptions: dotData Cloud provides full-managed SaaS delivery of all AI platforms with subscription-based pricing. Users noted that license costs do not change regardless of number of users, supporting democratization of data.
- Enterprise Platform Licensing: dotData Enterprise and Feature Factory are offered as enterprise platforms for predictive AI development and feature engineering, likely with enterprise licensing arrangements.
- Professional Services - BA Training: Business Analytics human resource development service providing training programs for organizations to build data-driven culture.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Enterprise platform licensing with per-user pricing not scaling with headcount |
Go-to-market motion1 record
Distribution channels4 records
Marketing channels7 records
DotData product offering
Product offeringCore offering
DotData develops and sells an AI software platform ecosystem centered on its proprietary automated feature engineering (AutoFE) technology. The product portfolio spans no-code predictive model development (dotData Enterprise), business-user analytics with generative AI (dotData Insight), reusable feature asset management (dotData Feature Factory), MLOps (dotData Ops), fully managed SaaS delivery (dotData Cloud), real-time streaming inference (dotData Stream), and LLM-based unstructured text analysis (dotData TextSense). Customers are large enterprises across banking, insurance, manufacturing, telecom, and retail.
Product overview
DotData offers an AI platform ecosystem centered on automated feature engineering technology. The portfolio consists of three core product tiers: (1) AI Development tier - dotData Enterprise for no-code predictive model building and dotData Feature Factory for reusable feature asset management; (2) Business Analytics tier - dotData Insight for business-user-facing analytics combining AI feature discovery with generative AI for hypothesis generation; (3) Operations tier - dotData Ops for MLOps and dotData Cloud for SaaS delivery. Supporting products include dotData Stream for real-time predictions, dotData TextSense for LLM-powered text analysis, and specialized integrations for Salesforce, Databricks, and Snowflake. All products share dotData's proprietary automated feature engineering as the core technology foundation, with AutoML and generative AI capabilities built across the platform.
Differentiator
Problem solved
Functional benefit
Brands
- dotData Insight: Business analytics platform enabling business departments to derive insights independently through AI-powered feature discovery and generative AI integration.
- dotData Enterprise
- dotData Feature Factory
- dotData Ops
- dotData Cloud
- dotData Stream
- dotData TextSense
- dotData Insight for Salesforce
- dotData x Databricks
- dotData x Snowflake
- dotData Insight Lite
- dotData Product Suite
Products and services
- dotData Insight Business analytics platform that enables non-technical business departments to derive insights independently by combining dotData's AI feature discovery with generative AI world knowledge to generate practical business hypotheses without coding or statistical expertise.
- dotData Enterprise No-code predictive AI development platform enabling business and data teams to build prediction models in days rather than months through automated feature engineering and AutoML, covering data preprocessing through model deployment.
- dotData Feature Factory Platform enabling data scientists and IT departments to develop curated feature assets through reusable data processing workflows, automating feature discovery across multiple tables while maintaining transparency, reproducibility, and collaboration.
- dotData Ops MLOps platform enabling self-service deployment and operation of data, features, and prediction pipelines, accelerating business value verification and production deployment through automated feature drift diagnosis and accuracy monitoring.
- dotData Cloud Fully managed SaaS delivery of all dotData AI platforms on the AWS Japan region with single-tenant architecture, minimizing total cost of ownership while enabling immediate AI development trials without infrastructure setup.
- dotData Stream Real-time streaming prediction platform that containerizes models from dotData Enterprise and Feature Factory, enabling AI predictions across on-premises, cloud, and IoT edge environments with single-command deployment.
- dotData TextSense AI service using large language models to extract meaning and structure from unstructured text data such as business reports, VOC, and support tickets, enabling semantic labeling and classification without specialized dictionaries or NLP expertise.
- Business Analytics Human Resource Development Service (ビジネスアナリティクス人材育成サービス) Training service focusing on the ability to analyze business based on data rather than data analysis skills alone, supporting data-driven corporate culture establishment within customer organizations.
Quantifiable outcome
- 50% improvement in prediction accuracy for automotive inventory management
- +4 more outcomes
Companies that use DotData
Customer profileNamed customers16 records
Segments9 records
Ideal customer profiles3 records
DotData technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration6 records
AI capability10 records
Feature8 records
DotData partnerships and signals
Strategic signalPartnerships
Six partnerships are on record, tiered minor, core and flagship.
- Mitsubishi UFJ Financial Group (MUFG)minordotData participated as exhibitor and pitch presenter at MUFG Startup Summit 2026 in NAGOYA, showcasing AI solutions to manufacturing and retail enterprises in the Tokai region.
- NEC CorporationcoreNEC serves as a key strategic partner for dotData in the Japanese market. NEC utilizes dotData in its own operations (executive dashboards winning Newsweek AI Impact Awards 2026) and recommends dotData to enterprise customers. NEC also provides DX human resources training services that incorporate dotData platforms.
- SalesforceflagshipdotData Insight for Salesforce provides AI-powered insights within Salesforce environments. Enables sales analytics, lead conversion prediction, and customer churn analysis using Salesforce data with dotData's feature auto design technology.
- DatabricksflagshipdotData x Databricks integration enables customers to leverage dotData's feature factory capabilities within Databricks environments. Supports medallion architecture implementations with Delta Lake and Unity Catalog.
- SnowflakeflagshipdotData x Snowflake integration provides data analysis capabilities within Snowflake's Data Cloud platform, enabling joint customers to perform AI-powered analytics on Snowflake data.
- AWS (Amazon Web Services)coredotData Cloud architecture is built on AWS technology. dotData holds AWS Technology Partner competency at the highest level (Competency Partner). Supports AWS Bedrock for LLM integration including Claude models.
Scale indicators6 records
Recent moves6 records
Expansion highlights6 records
DotData competitors and assessment
Company assessmentBroad incumbents
- Databricks: Databricks is both a flagship integration partner and an indirect competitor via its Lakehouse AI, AutoML, and Unity Catalog feature-store capabilities, which overlap with dotData Feature Factory inside enterprise data estates.
- Snowflake: Snowflake's Data Cloud plus Snowpark ML and native feature engineering capabilities overlap with dotData Feature Factory and dotData x Snowflake, making it both a partner and an indirect competitor in AI-on-warehouse workloads.
- Palantir Technologies: Palantir's Foundry and AIP platforms deliver enterprise-scale AI/ML, feature engineering and data integration for large institutions — a broader incumbent competing with dotData in regulated industries such as banking, insurance and manufacturing.
- Salesforce (Einstein / Tableau CRM): Salesforce is a flagship integration partner via dotData Insight for Salesforce, but its Einstein AI and Tableau CRM Analytics offerings provide overlapping AI-driven customer analytics — making it simultaneously partner and competitor.
- Amazon SageMaker: AWS SageMaker offers Data Wrangler, Autopilot (AutoML), Feature Store and MLOps. dotData Cloud is built on AWS and competes with these native capabilities for the same enterprise AI workloads.
- Google Cloud Vertex AI: Vertex AI provides managed AutoML, feature engineering (Vertex AI Feature Store) and MLOps at hyperscaler scale. As enterprises consolidate AI spend onto Google Cloud, it represents a bundled alternative to dotData's enterprise platform.
Direct peers
- DataRobot: DataRobot is a leading enterprise AutoML platform offering automated feature engineering, model building and MLOps. It competes directly with dotData Enterprise, Feature Factory and Ops across Fortune 500 buyers.
- H2O.ai: H2O.ai provides an open-source and enterprise AutoML platform (H2O Driverless AI) with automated feature engineering, model interpretation and MLOps — directly comparable to dotData's AutoFE-led stack.
- Alteryx: Alteryx offers an analytics automation platform that blends no-code data preparation, feature engineering and AutoML for business users — overlapping with dotData Insight and dotData Enterprise on the citizen-analyst thesis.
Emerging players
- FeatureForm / Tecton: Tecton is a feature-platform specialist that competes with dotData Feature Factory in production feature stores for ML, especially on top of Databricks, Snowflake and Spark. It represents a best-of-breed challenger in dotData's core feature-engineering niche.
Market position
Strengths1 record
Weaknesses1 record
Competitive moat6 records
Key risks6 records
Key highlights7 records
Customer concentration
DotData social profiles
Digital presenceDotData compliance and trust
Trust signalCompliance1 record
DotData financial estimates
Financial estimateRevenue estimate
Valuation estimate
DotData leadership team
Management profileNumber of profiles
Profiles9 records
DotData funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
DotData M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about DotData
What does DotData do?
DotData develops and sells an AI software platform ecosystem centered on its proprietary automated feature engineering (AutoFE) technology. The product portfolio spans no-code predictive model development (dotData Enterprise), business-user analytics with generative AI (dotData Insight), reusable feature asset management (dotData Feature Factory), MLOps (dotData Ops), fully managed SaaS delivery (dotData Cloud), real-time streaming inference (dotData Stream), and LLM-based unstructured text analysis (dotData TextSense). Customers are large enterprises across banking, insurance, manufacturing, telecom, and retail.
Is DotData a public or private company?
DotData is a private company. It is classified as venture growth investor backed and is currently operating.
When was DotData founded?
DotData was founded in 2018.
Where is DotData based?
DotData is headquartered in Tokyo, Japan, in the Asia region.
How does DotData make money?
Three revenue lines are on record. AI Platform SaaS Subscriptions are the primary driver. The others are enterprise Platform Licensing and professional Services - BA Training.
Who are DotData's main competitors?
Broad incumbents on record are Databricks, Snowflake, Palantir Technologies, Salesforce (Einstein / Tableau CRM), Amazon SageMaker and Google Cloud Vertex AI. Direct peers are DataRobot, H2O.ai and Alteryx. FeatureForm / Tecton is listed as an emerging player.
Does DotData have an API?
No public API is recorded for DotData.
What industry is DotData in?
DotData's product category is Automated Machine Learning Platforms. Its primary akta.pro industry code is HDAEANAB, Model Development & Training Platforms (AutoML, Notebooks, Feature Stores), with a secondary code of BPAEAHAF, AI/ML Engineering & Model Development Services. Its NAICS code is 5132 and its SIC code is 7372.