Data intelligence platform GoodData has unveiled a suite of finance-focused applications for its recently launched composable AI platform.
The company’s new offering combines its AI Lake, AI Hub, and AI Apps into a single platform that will give financial institutions the tools they need in order to build and deploy AI agents.
Founded in 2007 and headquartered in San Francisco, California, GoodData most recently demoed its technology at FinovateFall 2017 in New York.
The challenge of managing unstructured and unorganized data across multiple platforms—let alone turning that data into actionable insights—is a difficult one for financial institutions. And for those firms looking to take advantage of AI to add personalization, greater efficiency, and agility to their operations, these data management challenges are all the more acute.
Add to this the unique regulatory and data governance demands in financial services, including transparency and auditability, and it is clear to see why a growing number of fintechs are working to create solutions that enable firms to deploy trusted AI technologies at scale that feature built-in governance, including semantic grounding and compliance controls.
One such innovator is full-stack data intelligence platform GoodData, which has just launched a set of new finance-focused applications for its recently unveiled composable AI platform. The new offering combines GoodData’s AI Lake, AI Hub, and AI Apps into a single platform for enterprise data intelligence, giving financial institutions the tools they need to build and deploy AI agents.
GoodData’s platform will bring trusted automation to banks, insurers, and other financial institutions via embeddable, compliant, and auditable AI agents. The agents detect and investigate fraud in seconds, providing the kind of audit trails that regulators can rely on and keeping portfolios compliant in real-time. This makes the compiling, checking, and disclosure submission processes of regulatory reporting easier, while still maintaining the high standards for compliance, governance, and security that are required in financial services.
“Financial institutions face some of the world’s strictest data governance rules, and our goal is to make compliance simpler,” GoodData CEO Roman Stanek said. “This platform lets them innovate with AI while ensuring transparency, trust, and regulatory alignment, modernizing client experiences and improving risk management without compromise.”
GoodData’s layered platform features AI Lake, which transforms structured and unstructured financial data into a governed semantic layer, ensuring AI agents are grounded in accurate, compliant, and context-aware data to enhance decision-making. The platform also includes AI Hub, which delivers orchestration and governance with built-in guardrails, escalation paths, and compliance workflows; and AI Apps, embeddable agents, copilots, and automations that add personalization to client-facing applications and enhance back-office operations, including regulatory reporting and fraud detection.
Headquartered in San Francisco, California and founded in 2007, GoodData last demoed its technology at FinovateFall 2017. The company’s composable platform empowers businesses to turn data into insights and insights into action, and integrates into any data environment across public, private, on-premises, or hybrid cloud. GoodData leverages no-code interfaces, SDKs, and APIs to support the full data analytics lifecycle from data modeling to AI-powered insights. Today, more than 140,000 organizations and 3+ million users including Visa, Travelodge, and Twilio rely on GoodData’s technology.
Photo by Tae Fuller
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