The future of work isn't another chatbot. It's a workspace that understands your company.
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 a shared knowledge layer for our own company. One workspace that connected our information, understood our permissions, remembered context, and let AI work from the same source of truth as our team.
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 understand your company — 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
One workspace for your company's knowledge.
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