Knowledge analytics and intelligence firm GoodData has unveiled a next-generation AI platform, a full-stack knowledge intelligence answer that mixes its new AI Lake, AI Hub, and AI Apps right into a single basis for enterprise use. The platform is designed to assist enterprises rework uncooked knowledge into embeddable, enterprise-ready AI brokers.
It positions the corporate as a full-stack knowledge intelligence platform with governance, scalability and efficiency built-in from the bottom up.
A unified basis for enterprise AI
The brand new AI-driven platform is structured round three core parts. The AI Lake is a high-performance, open storage and compute layer that transforms knowledge right into a ruled, self-learning semantic layer, which the corporate says ensures AI brokers are grounded in correct, context-aware data.
The AI Hub is a set of orchestration and governance instruments that enable enterprises to design, monitor, and implement secure workflows. Lastly, AI Apps are safe, customer-facing AI brokers, assistants, and copilots that may be embedded immediately into analytics, merchandise, and enterprise processes.
“Enterprises have lengthy struggled with the hole between their knowledge and their potential to show it into trusted, actionable intelligence,” stated Roman Stanek, CEO of GoodData. “With this platform shift, we’re closing that hole. This launch positions GoodData as the primary actually full-stack knowledge intelligence platform — one the place governance, scalability, and efficiency are in-built from the bottom up.”
Composable structure and developer-focused instruments
A key side of the brand new platform is its composable and developer-focused structure. The corporate highlighted that its method is clear and modular, which avoids vendor lock-in and permits for adaptability as an organization’s expertise stack evolves. Enterprises can carry their very own massive language fashions (LLMs), combine with current techniques, and lengthen performance with third-party integrations.
“Most AI instruments at the moment are siloed or function as black bins,” stated Peter Fedorocko, discipline chief expertise officer of GoodData. “Our method is completely different. GoodData’s structure is clear, composable, and embeddable. Enterprises can carry their very own LLMs, combine with current techniques, and nonetheless preserve full management. That’s what makes this launch transformative. It’s AI that enterprises can belief and scale.”
The expertise stack features a mannequin context protocol (MCP) Server, which exposes all platform options to AI brokers for high-volume, real-time workflows. It additionally offers open, declarative SDKs in languages like Python and React, and sturdy APIs to allow customisation and embedding of AI brokers.
The launch marks an enlargement for GoodData past its conventional give attention to enterprise intelligence and analytics into the broader knowledge intelligence market, which the corporate notes is more and more demanding AI-native options.
