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Sovereign AI: what an enterprise should actually control
Data residency is where sovereignty starts, not where it ends. This article defines sovereign AI for the enterprise as control over five layers, explains why the real measure is the cost of leaving, and names the three assets that keep that cost low.
Beyond the data lake: what enterprise AI needs from data
Data lakes and cloud warehouses are built to answer how many and how much. Enterprise AI has to answer why and whether. This article explains the gap, and what a data foundation for AI requires beyond storage.
Enterprise AI, inside the organization's own walls
Running AI on-premises requires more than installing a model on a server. This article outlines what NU Tech delivers when AxP runs within an organization's own data center: the complete platform, operation without external connectivity, integration with existing IT, controlled updates and joint operation after go-live.
Traceable AI: what a decision record actually contains
"Traceable" is easy to claim and hard to build. Here is what a complete record of an AI decision holds, field by field, how it is sealed, and how it looks in finance, insurance, healthcare, airport operations and manufacturing.
RPA 3.0: building the third generation of automation with agentic AI
The first two generations of robotic process automation followed scripts. The third reasons. Here is how automation got here, how an AI agent actually works, and how NU Tech is building the next generation.
CEO Pranav Mistry outlines how On-Prem AI can transform airports at WAC 2026
At the World Aviation Conference 2026 in Incheon, NU Tech Founder and CEO Pranav Mistry described how airports can put AI to work on their operational data without it ever leaving their infrastructure.
Introducing AxP: the AI Transformation (AX) Platform
AxP brings Dudl and N-Sight together as one sovereign AI harness, so enterprises can run agentic automation on their own data, inside their own infrastructure.
Why enterprise AI is moving on-premises
The most valuable enterprise data is also the data that can't leave. Here's why more organizations are bringing AI to their data instead of sending data to AI — and what to look for when they do.