dotData
dotData is a private San Mateo-based data science automation platform whose Statistical AI engine and Feature Factory technology automatically discover features in multi-table enterprise data. It sells enterprise SaaS to financial services, auto lending, manufacturing, and other verticals via Snowflake, Databricks, AWS, and Azure.
- Company typePrivate
- Founded2018
- HeadquartersSan Mateo, United States
- Headcount51–100
- GTM typeB2B
- OfferingSoftware
What dotData does
dotData is a privately held data science automation platform founded in 2018 and headquartered in San Mateo, California, with regional operations in Japan (dotData Japan G.K.) and Poland (dotData Poland Sp. z o. o.). The company's core offering is a proprietary Statistical AI engine, anchored by its Feature Factory technology, that automatically discovers and engineers high-value features from multi-source, multi-table enterprise data — patterns that the company asserts are missed by traditional models and scorecards. Its product portfolio spans dotData Feature Factory, dotData Insight (AI-driven KPI insight discovery with Generative AI hypothesis generation), dotData Enterprise (no-code predictive AI), dotData Ops (deployment and monitoring), dotData Cloud (managed SaaS), dotData Cloud Private Self-Managed, dotData Stream, and dotData TextSense (LLM-powered unstructured text analytics). The platform is deployed across Snowflake, Databricks, AWS, and Microsoft Azure ecosystems and integrates frontier LLMs (GPT-5.2, Gemini 3, Claude, Llama) with one-click model switching.
The company sells primarily through direct enterprise field sales on a quote-based annual subscription model, supported by marketplace and co-sell partnerships with Snowflake, Databricks, AWS, and Microsoft. Named customers span subprime auto lending (GM Financial, Exeter Finance, Bridgecrest Acceptance, DriveTime), banking (Sumitomo Mitsui Banking Corporation), insurance (Assurified), manufacturing (Rockwell Automation, Yokohama Rubber, IHI Terrasun), retail (Lawson, Jacksons Food Stores, Kirin Holdings), telecom (NTT, Polkomtel), and other verticals. Reported customer outcomes include a 20X close-rate increase at Sumitomo Mitsui Trust Bank and typical 90-day ROI for auto lenders.
dotData has raised approximately $74.6 million across three disclosed funding rounds (2018, 2019, 2022), with strategic investors including Otsuka Corporation, SMBC, Sumitomo Mitsui Trust Bank, Goldman Sachs, JAFCO, and NEC Corporation, the latter being the lead Series investor and the prior employer of multiple founders. The company holds SOC 2 Type II certification and maintains a 51–100-person organization led by CEO and founder Ryohei Fujimaki, Ph.D.
dotData firmographics
Firmographics- Name
- dotData
- Legal name
- dotData, Inc.
- Website
- https://dotdata.com
- Company type
- Private
- Founded year
- 2018
- Operating status
- Operating
- Headcount range
- 51–100 employees
- Short description
- dotData is a private San Mateo-based data science automation platform whose Statistical AI engine and Feature Factory technology automatically discover features in multi-table enterprise data. It sells enterprise SaaS to financial services, auto lending, manufacturing, and other verticals via Snowflake, Databricks, AWS, and Azure.
- Ownership category
- akta.pro rank
dotData industry classification
Industry- Product category
- Data Science Automation Platform
- NAICS
- Computer Systems Design and Related Services (54151), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- Model Development & Training Platforms (AutoML, Notebooks, Feature Stores) (HDAEANAB)
- akta.pro secondary industries
- End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA), Data Platform (Unified Data & Analytics) Suites (HDAEABAD)
Keywords
Where dotData is headquartered
LocationHeadquarters
- HQ city
- San Mateo
- HQ country
- United States
- HQ region
- North America
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, Infrastructure, Operations
Revenue model
- SaaS Subscription (dotData Cloud): Fully managed cloud subscription providing access to all dotData AI platforms. Includes 99.99% uptime SLA, single-tenant security, and managed infrastructure.
- Self-Managed Deployment: Enterprise deployment option allowing organizations to deploy, operate, and maintain dotData platforms within their own environments. Supports AWS, Microsoft Azure, Databricks, and Snowflake ecosystems.
- Enterprise Licenses: Enterprise agreements for dotData Feature Factory, dotData Enterprise, dotData Insight, and related products targeting large financial institutions and manufacturers.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Enterprise subscription with custom pricing |
Go-to-market motion3 records
Distribution channels3 records
Marketing channels7 records
dotData product offering
Product offeringCore offering
dotData provides an end-to-end data science automation platform built on Statistical AI that automatically discovers, evaluates, and engineers features from multi-table, multi-modal enterprise data. The platform combines automated feature engineering, AutoML, and Generative AI to enable data science teams, BI analysts, and business users to build predictive models, uncover KPI drivers, and operationalize ML pipelines without extensive manual coding. It is delivered as a fully managed SaaS (dotData Cloud) or as a self-managed enterprise deployment on Snowflake, Databricks, AWS, or Azure.
Product overview
dotData offers a comprehensive AI-powered analytics platform with multiple integrated products designed for end-to-end data science automation. The core portfolio includes dotData Feature Factory for automated feature engineering, dotData Insight for AI-driven insight discovery, and dotData Enterprise for no-code predictive AI. These are complemented by dotData Ops for model and feature orchestration, dotData Cloud for fully managed SaaS deployment, dotData Stream for real-time processing, and dotData TextSense for text analytics. The platform leverages Statistical AI to automatically discover and evaluate millions of feature patterns across multi-table, multi-modal data, combining structured data analysis with Generative AI for signal interpretation and business hypothesis generation.
Differentiator
Problem solved
Functional benefit
Brands
- dotData Feature Factory: AI-powered feature engineering platform that programmatically identifies millions of feature patterns for ML models.
- dotData Insight
- dotData Enterprise
- dotData Ops
- dotData Cloud
- dotData Stream
- dotData TextSense
Products and services
- dotData Feature Factory Automated feature engineering platform that programmatically identifies millions of feature patterns from raw data by combining all tables and columns to build ML-ready features across multiple time windows. Designed for data scientists to develop curated, reusable feature assets from data processing know-how.
- dotData Insight AI-powered insight discovery platform for business teams that automatically uncovers what drives KPIs by combining Statistical AI with Generative AI to discover high-value hyper-targeted data segments and generate business hypotheses from discovered signals.
- dotData Enterprise No-code predictive AI platform enabling data analytics teams to build predictive models without coding, providing automated feature engineering combined with AutoML to deliver explainable AI models from data to deployment in minutes.
- dotData Ops Self-service deployment platform for orchestrating models, features, and data pipelines, enabling analytics teams to deploy and operate prediction pipelines without IT involvement and to monitor model and feature drift.
- dotData Cloud Fully managed SaaS delivery of dotData AI platforms that eliminates infrastructure build and maintenance, using a single-tenant model for data security with 99.99% uptime SLA and AWS Competency Partner status.
- dotData Stream Real-time data processing capability for continuous feature engineering and model updates within the dotData platform.
- dotData TextSense AI-powered text feature engineering tool that extracts meaning from unstructured text data using Generative AI and LLMs, converting text into structured semantic labels with automatic label recommendations and iterative prompt adjustment.
Quantifiable outcome
- Auto lenders typically achieve 90-day ROI using dotData platform
- +4 more outcomes
Companies that use dotData
Customer profileNamed customers20 records
Segments8 records
Ideal customer profiles5 records
dotData technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration11 records
AI capability8 records
Feature8 records
dotData partnerships and signals
Strategic signalPartnerships
Six partnerships are on record, tiered core.
- Snowflake Inc.coredotData Insight 2.1 natively integrated with Snowflake, enabling zero-copy analysis with dotData running on Snowpark Container Services against Snowflake Horizon Catalog data. Supports data governance and is initially available on AWS with Azure expansion planned.
- DatabrickscoredotData Insight provides native support for Databricks alongside Snowflake on Microsoft Azure, enabling deployment within existing Databricks environments.
- Amazon Web Services (AWS)coreAWS hosting for dotData Cloud services (US region). Snowflake integration initially available on AWS. dotData is an AWS Competency Partner with certified architecture.
- Microsoft AzurecoreSupport for Microsoft Azure deployment. dotData Cloud Private Self-Managed supports Azure ecosystem. Snowflake integration expanding to Azure.
- Amazon Web Services Japan G.K.coreCloud service provider if dotData Cloud is hosted in Japan.
- dotData Japan G.K.coreJapan-based affiliate of dotData group providing regional operations and support.
Scale indicators7 records
Recent moves6 records
Expansion highlights6 records
dotData competitors and assessment
Company assessmentDirect peers
- H2O.ai: H2O.ai provides an enterprise AutoML and AI platform with automated feature engineering (similar to dotData's Feature Factory) and model interpretability. Competes head-to-head with dotData in financial services and offers both open-source and commercial deployments.
- DataRobot: DataRobot is a direct AutoML and MLOps platform competitor offering automated feature engineering, model building, and deployment for enterprise data science teams. Closely comparable to dotData's Feature Factory and dotData Enterprise products across the same buyer personas.
- RapidMiner: RapidMiner (now part of Altair) provides a data science platform with automated feature engineering, AutoML, and MLOps targeting enterprise and mid-market customers. Comparable in feature scope and customer profile to dotData Enterprise and Feature Factory.
- Dataiku: Dataiku is a data science and ML platform serving enterprise data teams with automated feature engineering, AutoML, and MLOps capabilities. Comparable to dotData Enterprise, with overlapping customer segments in banking, insurance, and manufacturing.
- Alteryx: Alteryx is an analytics automation platform combining data preparation, feature engineering, AutoML, and process automation for business analysts and data scientists. Overlaps with dotData's BI and analytics team use cases, particularly for citizen data scientists.
Broad incumbents
- Google Vertex AI: Google Vertex AI is a unified ML platform with AutoML, feature store, and MLOps capabilities on Google Cloud. Competes with dotData for enterprise AI workloads and is a relevant alternative for customers standardized on GCP.
- Palantir Technologies: Palantir's Foundry platform provides enterprise data integration, feature engineering, and AI/ML deployment at much greater scale. Overlaps with dotData in serving large financial institutions and manufacturers, but Palantir operates at a far broader platform and price point.
- Microsoft Azure Machine Learning: Azure ML is Microsoft's enterprise ML platform with automated ML, feature stores, and MLOps tightly integrated with Azure data services. Comparable to dotData's MLOps and AutoML capabilities, with the advantage of being embedded in enterprises' existing Azure commitments.
- AWS SageMaker: Amazon SageMaker is a fully managed ML platform offering feature stores, AutoML, and MLOps within the AWS ecosystem. As a cloud-native incumbent and dotData's hosting partner, it represents both a distribution channel and a competitive alternative for enterprise ML workloads.
- SAS Viya: SAS Viya is SAS's cloud-native analytics platform offering automated feature engineering, AutoML, and MLOps with strong penetration in regulated industries (banking, insurance, government). Competes with dotData for the same explainable-AI use cases in financial services.
Market position
Strengths5 records
Weaknesses4 records
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
Profiles5 records
dotData subsidiaries and ownership
Company hierarchySubsidiaries2 records
dotData funding detail
Funding detailFunding overview
Funding rounds3 records
Investors6 records
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 provides an end-to-end data science automation platform built on Statistical AI that automatically discovers, evaluates, and engineers features from multi-table, multi-modal enterprise data. The platform combines automated feature engineering, AutoML, and Generative AI to enable data science teams, BI analysts, and business users to build predictive models, uncover KPI drivers, and operationalize ML pipelines without extensive manual coding. It is delivered as a fully managed SaaS (dotData Cloud) or as a self-managed enterprise deployment on Snowflake, Databricks, AWS, or Azure.
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. It employs 51 to 100 people.
Where is dotData based?
dotData is headquartered in San Mateo, United States, in the North America region.
How does dotData make money?
Three revenue lines are on record. SaaS Subscription (dotData Cloud) is the primary driver. The others are self-Managed Deployment and enterprise Licenses.
Who are dotData's main competitors?
Direct peers on record are H2O.ai, DataRobot, RapidMiner, Dataiku and Alteryx. Broad incumbents are Google Vertex AI, Palantir Technologies, Microsoft Azure Machine Learning, AWS SageMaker and SAS Viya.
Does dotData have an API?
No public API is recorded for dotData.
What industry is dotData in?
dotData's product category is Data Science Automation Platform. Its primary akta.pro industry code is HDAEANAB, Model Development & Training Platforms (AutoML, Notebooks, Feature Stores), with a secondary code of HDAEANAA, End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management). Its NAICS code is 54151 and its SIC code is 7372.