The future of workisn't another chatbot.It's an AI that alreadyknows your work.

We didn't set out to start an AI company. We set out to fix a problem inside our own — and found it was everyone's.

AI made work faster. It also made it messier.

Companies already have the knowledge they need. It's just scattered across dozens of systems — decisions in Slack, context in documents, code in GitHub, work in tickets and meetings. Every day people search for answers that already exist.

Then AI arrived, and every new agent needed the same context explained again. Every workflow required constant synchronization to keep things aligned. We looked for a solution, but every product felt like another chatbot sitting beside our tools instead of becoming part of how the company actually worked.

We realized the problem wasn't the AI. It was that every AI worked in isolation.

A shared layer, not another app.

Instead of adding another AI application, we built ourselves a knowledge layer that connected our own accounts, inherited our permissions, remembered context, and let AI work from our real, live knowledge instead of a blank prompt.

It immediately changed how we worked. Our agents stopped operating in isolation. We stopped maintaining duplicate knowledge across systems. Work became collaborative instead of fragmented. As we showed it to other founders and leaders, the reaction was consistent — they were solving the same problem. That's when ran stopped being an internal tool and became the product we're building today.

What we believe.

Knowledge should exist once — not re-pasted into every document, prompt, and agent.

AI should already know your work — not just your prompt.

Trust is non-negotiable. Every answer is traceable, and conflicts are surfaced — never hidden behind false certainty.

Humans stay in control. AI does the work; people approve what matters.

How we build.

Truth before confidence

Every answer is backed by evidence. When sources disagree, we show the disagreement rather than guess.

Humans stay in control

Agents work independently, but important actions always wait for a person's approval.

Work happens in context

AI should draw on your company's real knowledge, not whatever someone remembered to paste in.

Infrastructure over applications

We aren't building another destination for work. We're building the layer that connects the ones you already use.

Where we're going.

Today

A per-user knowledge layer and operator over the tools you already use.

Next

Agents that complete increasingly complex work.

Future

An operating layer where every person and agent works from the same trusted context.

Who's building ran.

Founder

Gabriel Ezerzer

We built ran because we wantAI to make companies more capable,not more complicated.