dotData Expands AI Accessibility with Self‑Managed Deployment and Next‑Gen Text Analytics Capabilities

dotData Expands AI Accessibility with Self‑Managed Deployment and Next‑Gen Text Analytics Capabilities

Press Release

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 data platforms, including AWS, Microsoft Azure, Databricks, and Snowflake—enabling customers to operate within existing cloud ecosystems and minimize data transfer overhead.

Advancing Text Insight with Generative AI

The newly released dotData TextSense 1.2 enhances automation and deepens text understanding, offering enterprise analytics workflows more powerful insights.

  • Python Library for Automation: The new Python edition helps IT decision-makers streamline workflows and automate tasks, reinforcing their ability to manage complex systems effectively.
  • Amazon Bedrock Integration: By supporting Amazon Bedrock, TextSense 1.2 enables advanced meaning extraction using the latest LLMs—all within a fully secured AWS environment.
  • Enhanced Data Security: Paired with dotData Cloud Private – Self‑Managed, TextSense 1.2 reassures security officers that sensitive data remains protected during high‑value text analysis.

Together, these innovations strengthen dotData’s vision of simplifying end‑to‑end AI automation while ensuring enterprise‑grade governance and security.

Contact Us

E-mail: contact@dotdata.com

Media Contact

E-mail: marketing@dotdata.com
Phone: 415-460-7844

About dotData

dotData's pioneering Statistical AI technology addresses the most complex challenge of modern analytics and AI projects: uncovering the nuanced, hidden gems of insight that were previously trapped in unexplored data. Our award-winning engine navigates the most complex and convoluted data structures by connecting the dots within large-scale datasets in hours, rather than days, discovering high-value, transparent, and explainable signals. dotData enables organizations to eliminate human bias and reduce costs by exploring 100 times more signals, including those yet to be imagined. The power of dotData’s technology is providing game-changing insights for Fortune 500 organizations around the world.

Learn more about dotData Insight at https://dotdata.com/dotdata-insight/ or contact dotData at contact@dotdata.com.

For more information, visit https://dotdata.com/ and join the conversation on X/Twitter and LinkedIn.

dotData
dotData

dotData Automated Feature Engineering powers our full-cycle data science automation platform to help enterprise organizations accelerate ML and AI projects and deliver more business value by automating the hardest part of the data science and AI process - feature engineering and operationalization. Learn more at dotdata.com, and join us on Twitter and LinkedIn.