Recognition in the Special Finance 175 underscores dotData’s role in helping auto lenders uncover hidden risk and drive profitable growth SAN MATEO, Calif. – April 8, 2026 – dotData, provider of the only AI platform that captures the default drivers and origination blind spots missed by third-party AI models and scorecards, today announced that it has been named to the 2026 “Special Finance 175” list by SubPrime Auto Finance News, recognizing the most influential companies serving the subprime and non-prime auto finance industry. Each year, SubPrime Auto Finance News and its publisher, Cherokee Media Group, honor 175 finance companies, service and technology providers, and other organizations that play a critical role in enabling subprime auto finance, spotlighting those that continue to innovate and flourish in a complex, high‑risk segment of the market. The Special Finance 175 is featured in the April issue of SubPrime Auto Finance News and salutes organizations…
SAN MATEO, California, March 26, 2026 – dotData, a leader in AI‑powered signal discovery and data science automation, today announced two major updates designed to empower enterprises with stronger security, flexibility, and advanced text‑based insights. The company introduced dotData Cloud Private – Self‑Managed, giving enterprise decision-makers confidence in deploying AI platforms securely within their own environments. Empowering AI in High‑Security Environments dotData Cloud Private – Self‑Managed gives organizations—especially those with rigorous data governance requirements, such as financial institutions and government agencies—the ability to deploy, operate, and maintain dotData’s powerful AI discovery platform entirely under their own control. Self‑Managed Deployment: Customers can independently build and manage their dotData environments, with comprehensive technical support from dotData’s team to ensure smooth setup and operation. Comprehensive Support: dotData provides end‑to‑end assistance, from setting up the cloud infrastructure to operational best practices, ensuring stable and compliant deployments. Broad Platform Compatibility: The solution supports major enterprise…
SAN MATEO, California, March 24, 2026 – dotData, a pioneer and leading provider of AI-powered insight discovery platforms, today announced the native integration of its data analytics platform, “dotData Insight,” with Azure Databricks and Snowflake on Azure. This announcement follows dotData’s previous native integrations with Databricks on AWS (dotData Insight 2.0) in November 2025 and Snowflake on AWS (dotData Insight 2.1) in January 2026. With this expansion to Microsoft Azure, organizations leveraging Azure as their primary cloud infrastructure can now seamlessly utilize dotData Insight for advanced data analysis. Merging Microsoft Azure Data Foundations with dotData’s AI-Powered Analytics Many enterprises rely on Microsoft’s ecosystem, including Microsoft 365 and Azure-based identity management and security policies. Azure Databricks and Snowflake on Azure have seen rapid adoption because they enable organizations to build data foundations that align with existing Azure-based ID management, network configurations, and security protocols. Through this new integration, dotData Insight connects…
〜Accelerating Business Insight Generation with AI Drill-down Analysis and Support for the Latest Generative AI Models〜 SAN MATEO, California, January 29, 2026 — dotData, a pioneer and leading provider of AI-powered insight discovery platforms, today announced the latest release of its data analysis platform, dotData Insight 2.1. dotData Insight 2.1 features native integration with Snowflake, allowing for business driver exploration, factor analysis, and the discovery of business insights using dotData Insight without the need for copying data, while inheriting Snowflake's data governance capabilities. Furthermore, several new capabilities have been added to promote AI-driven management, including "AI Drill-down Analysis" to intuitively identify causes of KPI changes and support for the latest Generative AI models such as Gemini 3 and GPT-5.2. Key Features of dotData Insight 2.1 Include: Native Integration with Snowflake (dotData Insight on Snowflake) dotData Insight 2.1 can now be deployed directly on Snowflake. Specifically, dotData’s core engines, including dotData’s…
SAN MATEO, California, December 9, 2025 — dotData, a pioneer and leading provider of AI-powered insight discovery platforms, today announced the release of dotData TextSense — a new product designed to extract and structure “meaning” from unstructured business text data. Unlocking the Value of Business Text Data From sales reports and customer feedback (VOC) to support tickets and employee evaluations, much of a company’s critical information exists in the form of unstructured text. Text records often contain insights with the potential to transform business operations. Traditional text mining approaches—such as natural language processing or topic analysis—require specialized skills, domain-specific dictionaries, and significant pre-processing, limiting their accessibility and practical impact. Introducing dotData TextSense dotData TextSense leverages Generative AI to automatically extract “meaning” from text with high precision, converting text into structured semantic labels. By seamlessly integrating unstructured text with structured business data, dotData TextSense enables anyone—not just experts—to quickly and effectively…
SAN MATEO, Calif. — December 3, 2025 — dotData, the leader in Statistical AI and feature discovery, today announced the latest version of its deep analytics platform, "dotData Insight 2.0". dotData Insight 2.0 is a significant update that provides integration with the Databricks Delta Lake platform across data management and computation, enabling organizations to extract business insights and transform them into value under a unified data governance. Features of dotData Insight on the Databricks Data Intelligence Platform Zero-Copy Feature Automated Design dotData Insight directly accesses data stored in Databricks' Delta Lake and executes dotData's proprietary driver discovery and automated design via Lakeflow Jobs. This eliminates the need to copy data across environments, enabling centralized data management and flexible business analytics with dotData Insight. Integrated Governance with Databricks dotData Insight on Databricks integrates with Databricks' Unity Catalog. In addition to managing data in the catalog, dotData Insight also benefits from the…
After recovering $8 million monthly with dotData Enterprise, fintech leader graduates to dotData’s risk discovery platform to reduce risk losses SAN MATEO, Calif. — December 2, 2025 — dotData, the leader in Statistical AI and feature discovery, today announced that sticky.io, the intelligent revenue optimization platform, has upgraded to dotData Feature Factory. The move deepens a six-year strategic partnership and builds on sticky.io’s massive success with dotData’s original platform, which helped them recover $8 million in lost revenue monthly by uncovering critical risk signals. sticky.io, a long-time dotData customer, had previously used dotData Enterprise, an end-to-end AutoML platform. The platform’s powerful Statistical AI engine proved invaluable, enabling sticky.io to uncover hidden signals in its vast transaction and billing data, dramatically improving its AI-driven dunning and revenue recovery. The upgrade to Feature Factory was driven by sticky.io’s strategic migration of its data infrastructure from Redshift to Databricks. As the team modernized…
SAN MATEO, California, November 19, 2025 — dotData, a pioneer and leading provider of AI-powered insight discovery platforms, today announced the release of dotData Enterprise 4.1. This latest update builds on the redesigned experience introduced in version 4.0 and further strengthens the integration across the dotData Product Suite, enabling organizations to accelerate the development of reliable, explainable, and production-ready AI models. Key Features of dotData Enterprise 4.1 Include: Drill-Down Analysis for Prediction Errors dotData Enterprise 4.1 introduces a new pivot-table-based drill-down analysis feature, enabling users to examine model performance and feature impact across various segments of the target population. Analysts can quickly identify underperforming groups, understand error patterns, and iterate toward higher-accuracy models with greater efficiency. One-Click Integration with dotData Insight Users can now transfer model outputs and predictive patterns to dotData Insight with a single click, where Insight’s GenAI-powered business interpretation and AI-driven driver combination discovery provide deeper visibility…
SAN MATEO, California, November 18, 2025 — dotData, a leader in AI-powered feature and insight discovery platforms, today announced that Matt Roe, former Chief Revenue Officer of Open Lending (NASDAQ: LPRO), has joined the company as an Executive Advisor. A respected veteran in the auto lending and credit union sectors, Roe will leverage his deep industry expertise to help accelerate dotData's growth, sharpen its positioning, and build strategic executive relationships in the lending and credit union markets. Bringing Decades of Lending Experience to dotData Matt Roe brings more than two decades of experience in driving growth in the financial services sector. During a decade-long tenure as CRO at Open Lending, he was instrumental in driving the company’s revenue and market presence, culminating in a successful IPO. His deep understanding of the challenges facing lenders in subprime auto financing, prime lending, and credit union member services makes him a powerful new…
New releases empower data science teams to build, deploy, and manage more reliable predictive models faster with interactive result sharing, powerful automated data quality checks, shadow testing, and automated model retraining. SAN MATEO, California, August 20, 2025 — dotData, a pioneer and leading provider of AI-powered insight discovery platforms, today announced product updates for dotData Feature Factory 1.4 and dotData Ops 1.5. The releases introduce powerful new capabilities. The updates are designed to enhance collaboration, improve model interpretability, and automate critical MLOps processes, empowering organizations to build and deploy more reliable AI faster. Key Features of dotData Feature Factory 1.4 Include: Support Microsoft Fabric Deployment dotData Feature Factory 1.4 can now be deployed directly within Microsoft Fabric, enabling Microsoft Azure users to build powerful features without needing to move or duplicate data. This integration unifies data governance under the Fabric umbrella, offering unprecedented scalability, data security, and flexibility for the…
SAN MATEO, California, July 24, 2025 — dotData, a pioneer and leading provider of AI-powered insight discovery platforms, today announced the release of dotData Insight 1.4, a major update to its AI-driven signal discovery platform. This latest version delivers significant improvements in speed, scalability, and enterprise readiness through powerful new features, including AI Driver Stacking, expanded cloud self-deployment options, built-in connectors to leading enterprise data sources, and Amazon Bedrock support for enhanced GenAI security. Discover Combinatorial Business Drivers with AI Driver Stacking dotData Insight 1.4 introduces AI Driver Stacking, a cutting-edge statistical AI technique designed to uncover richer, more actionable insights by automatically identifying optimal combinations of key business drivers. This approach solves exponentially complex combinatorial optimization problems at scale, surfacing not just individual factors but their most impactful combinations. As a result, users gain greater transparency and deeper understanding of the factors influencing critical business outcomes—enabling faster, more confident…
SAN MATEO, California, April 8, 2025 - dotData, announced the launch of dotData Enterprise 4.0, a milestone upgrade to its no-code Predictive Analytics platform. Featuring a fully redesigned interface and a new core engine based on dotData's award-winning Feature Factory technology, dotData Enterprise 4.0 is a ground-up rethinking of the end-to-end no-code automation journey for companies getting started on the road to building predictive analytics models. With dotData Enterprise 4.0, dotData has reimagined how analytics professionals with minimal ML experience build predictive models. “The vision of dotData Enterprise has always been to make predictive analytics more approachable to a wider spectrum of users.” Said dotData CEO, Ryohei Fujimaki, Ph.D. “With dotData Enterprise 4.0, we are thrilled to be introducing a new user experience that is familiar, approachable and continues to expand and deliver on the promise,” continued Dr. Fujimaki. dotData Enterprise 4.0 introduces several key functions: Predictive Modeling Canvas: dotData…