Unify multimodal data, accelerate delivery 50×, and enable safe, context-rich data-driven action for AI agents

Nextdata, the pioneer of autonomous data products, announced a significant update to Nextdata OS, advancing its position as the unified data product management platform for analytics, machine learning, and AI agents. Leveraging its inherently extensible, multimodal architecture, Nextdata OS now delivers powerful new capabilities to automate data product creation, unify structured and unstructured data, and enable safe, agentic use of enterprise data—without replatforming or adding special-purpose stacks.

From Data 2.0 to Data 3.0

Enterprise data management is at a crossroads. Data 2.0—centralized lakehouse usage, brittle pipelines, governance bolted on after the fact—was built for reports and dashboards in a human-speed world. Today it takes six months on average to safely unlock a new data source, while 70% of data teams’ effort goes to simply keeping systems running. This model is failing to keep pace in the AI-native era, where systems must act in sub-seconds, at scale, and with continuous trust.

With this release, Nextdata introduces Data 3.0: a new paradigm built on autonomous data products. Semantic-first and domain-oriented, they self-orchestrate, unify structured and unstructured data, enforce governance continuously as code, and serve multiple modes of use—MCP for agents, vectors for RAG, and tables and files for analytics. The result: data-to-first-use shrinks from months to minutes, enabling enterprises to safely expose mission-critical data to both humans and AI agents.

Marketing Technology News: MarTech Interview with Nicholas Kontopoulous, Vice President of Marketing, Asia Pacific & Japan @ Twilio

Executive Perspective

“In the age of AI, enterprises can’t afford business-as-usual data management with months-long delays before data delivers value,” said Zhamak Dehghani, Founder and CEO of Nextdata. “With Data 3.0, organizations can unify their entire data estate—including the 80% that’s unstructured—and give AI agents safe, high-trust data without adding complexity to their stack.”

Key Enhancements in the Latest Release

1. Unified Multimodal Data Support

Nextdata OS now supports unstructured (e.g., documents, media) and unmanaged (e.g., purchased datasets) sources. A single data product can output as a table, vector embedding, file, or MCP endpoint—without extra pipelines.
Benefit: Continuous governance and discoverability across all data types, ensuring safe use by both humans and AI agents.

Marketing Technology News: The ‘Demand Gen’ Delusion (And What To Do About It)

2. Seamless Agentic Data Access

Data products now expose MCP discovery APIs, enabling agents to dynamically find and consume domain-specific data with rich, real-time metadata such as lineage, quality, and semantic context. Humans can search with natural language; agents can auto-discover what they need.
Benefit: AI agents always access the most accurate, trusted data for their tasks, with integration requiring as little as 1–5 lines of code.

3. 50× Faster Data Product Creation

The co-pilot now generates autonomous data products from a simple prompt using Nexty AI or any LLM (Claude, ChatGPT, etc.). From legacy warehouses, lakes, APIs, or spreadsheets, it produces complete products with semantic models, transformations, and policies-as-code.
Benefit: Automates the first 90% of authoring, collapsing weeks of work into minutes.