Finally, a unified, decentralized and automated approach to data management for AI, analytics and apps. (And it actually works.)
Today’s data stack is way too complicated — forcing teams to spend their days fixing and patching, rather than delivering value.
On the other hand, centralized data systems are bottlenecks to scale — making it hard to add new data sources or support new applications.
And still, your data is ungoverned, out-of-date and not at hand for the analysts, apps and AI agents that need it.
The development and operating platform for autonomous data products
Standardize data management with autonomous data products, self-orchestrating, self-governing, automatically discoverable, safe and useful. TLDR; Shift left and automate. Make your data product work for you for a change.
Move to a decentralized system that lets anyone generate, use and manage data in any way they choose, so your teams can focus on building, not busy work. Feels like magic.
With data management out of the way, your organization can innovate at the speed of the market, while continuously maintaining 100% security and compliance.
A unified data product standard — across all data stacks, data formats and use cases.
Detects changes in data sources, computational policies and access and automatically orchestrates data processing, quality and compliance checks. (before they become disasters or out of date)
Encapsulate and run all of data management in a simplified unit.
Bootstrap from existing code and data. (no more replatforming)
Eliminate complex data pipelines, unnecessary data layers, handoffs and dropped balls. Just build what matters.
Same semantic, same governance, same data product, for AI agents, apps and humans.
Time to create an autonomous data product
Continuous enforcement of upstream and downstream quality not just monitoring
To onboard a new business domain and enable governed self-service on their data stack
"Nextdata OS can drive data product ownership and ROI transparency, helping organizations shift focus from tools to outcomes—without replacing existing infrastructure. "
“I’ve led teams building systems that empower data scientists and computational researchers to leverage federated datasets under diverse governance frameworks for predictive modeling and decision support. Previously, we had to retrofit existing tools, achieving only partial success. Nextdata OS delivers the first comprehensive platform designed specifically for distributed research teams to collaborate effectively on complex datasets, accelerating insights in today’s fast-moving research environment.”
“Creating valuable data products requires flexibility and choice of computing and storage platforms. Having a way to abstract and bridge different data stacks will allow us to optimize platform costs for different use cases and innovate more quickly.”
.png)
