Northern Star AI

Building safe AGI-Based Agentic Solutions.

Some of our Clients

From our early days in machine learning to AI agents, our emphasis has always been on quality and safety.

2025 - AGI is nearly here

As we stand on the brink of Artificial General Intelligence (AGI), we are building solutions that can revolutionize industries by creating intelligent agents capable of autonomous decision-making and problem-solving across diverse domains.

370 BC - Information or Understanding?

The debate on how to use technology is as old as time. Socrates tells a story about two Egyptian gods, Theuth and Thamus, debating the merits of introducing writing to the people. Theuth argues that writing will make people wiser and improve their memory, while Thamus believes it will make people forgetful and overly reliant on the written words. They would become overwhelmed with external information but have no true understanding. With AI technology, this debate is more relevant than ever.

Technology at the Service of Humanity

So far in history, technology has been used as a tool with humans as decision makers. With AI agents, for the first time, AI is capable of making sound decisions opening the door to many new possibilities. At Northern Star AI, our top priority is safety so that technology brings prosperity to all.

What we do

At Northern Star AI, we harness the power of AGI to develop SAFE agentic solutions that drive innovation, efficiency, and growth.

AI Safety at the Frontier:

Safety evaluations and Red teaming of frontier models.

Autonomous Business Process Management:

Deploying AGI agents to optimize workflows, enhance productivity, and reduce operational costs.

Cognitive Partnership for Human Interaction:

Empowering AGI agents to collaborate seamlessly with humans.

Advanced Data Analysis:

Using AI agents to interpret complex datasets, uncover insights, and inform strategic decision-making.

Personalized User Experiences:

Developing AI agents that tailor interactions to individual preferences, enhancing user satisfaction.

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