About Unsupervised

Most AI is capable enough.The problem is it's unpredictable.

We build infrastructure that makes AI agents consistent. It started in data analytics, where agents have to get the numbers right. We open-sourced the consistency layer, and it's now used for everything from enforcing TDD to ensuring citation accuracy in research.

Trusted by Fortune 500 teams & backed by leading investors

Our Story

Automating analytics& improving consistency for all agents.

We started with a simple observation: data organizations were drowning in potential insights they never surfaced because they were stuck doing manual analysis. So we built AI that could discover patterns in massive datasets that humans would never think to look for.

That work — deployed across Fortune 500 companies like AT&T and Disney — taught us where the real gaps are. Managing unstructured data. Automating detail-oriented roles like data engineering and data analysis. Connecting the foundational research from AI labs to practical, real-world applications.

Today, we still automate analytics for enterprises — and we've open-sourced the consistency infrastructure we built to do it. The same enforced policies, workflows, and self-review that make our analytics agents reliable now help teams build reliable agents for coding, research, and operations.

How We Think

What we believe

Build in the open

The best way to improve AI reliability is to share what works. DeepWork is open source. We publish what we learn.

High leverage, high velocity

We ship daily. Strong opinions, loose hold, and the autonomy to move fast. Every person here has outsized impact.

Transparency over black boxes

We show our work. Our AI explains why it surfaced each insight, how it calculated impact, and what it recommends. Trust is built through explainability.

The Team