We built Milo because we kept watching knowledge die. An email thread three years deep that nobody could find. A client relationship that lived entirely in one person's head — and walked out the door when they left. Work that got repeated because nobody remembered it had already been done.
It wasn't laziness. People were working hard. The problem was structural: the tools that existed were built to store documents, not to capture how work actually happens — in emails, in conversations, in the ten small decisions that get made on a Tuesday afternoon and never written down.
We thought there had to be a better way.
Before Milo for Teams, we found OpenClaw — an agent infrastructure platform — and built on top of it. OpenClaw was designed for individuals who wanted AI that could actually take action in the world, not just chat about it.
People using OpenClaw did everything with it. Automating their inbox so important emails never fell through the cracks. Monitoring eBay for a vintage motorcycle part that only comes up once every few months. Synthesizing competitive research across dozens of sources into a single weekly brief. One person had it watching their suppliers' websites for price changes. Another used it to manage their freelance pipeline entirely by text message.
The breadth of what people built — without any prompting from us — showed us something: the platform potential was enormous. Personal AI that could act wasn't a nice-to-have. For the people who had it, it became fundamental infrastructure for how they worked.
“ OpenClaw is the platform. Milo for Teams is the product we built on top — the same agent infrastructure, focused on the specific problem of institutional knowledge for growing businesses. ”
We kept coming back to a single question. We were watching individuals use OpenClaw to transform how they worked — capturing context, running automations, never losing anything. And we asked: what happens when every employee in a company has this?
The answer wasn't just “everybody is more productive individually.” The answer was something more interesting: if every person has an agent that understands their work, and there's an orchestrator that can query across all of them, you've built something that has never existed before. A collective memory for the whole organization — one that updates automatically, requires no documentation discipline, and survives turnover.
That's Milo for Teams. We're building the business memory layer that enterprise search tools are too expensive to provide, and human processes are too unreliable to maintain.
We kept losing knowledge. A consultant left, and with them went three years of client context. We searched for tools that could solve this. Nothing existed that worked the way real teams worked.
We discovered OpenClaw — an agent infrastructure for individuals who wanted AI that could take real action — and built on top of it. People using OpenClaw connected it to their email, their calendars, their data feeds. They automated things we hadn't imagined.
Watching how individuals used OpenClaw, the team insight crystallized: the value multiplied when every person in a company had one. We started building the orchestration layer that aggregates across all of them.
We launched the design partner program — working directly with marketing agencies and consultancies to build the product around their specific problems. Early partners shaped everything from the integration architecture to the onboarding flow.
We're in early access with a small number of design partners. If you run a team that's felt the knowledge-loss problem acutely, we'd like to talk.
Every minute a person spends writing something down is a minute they're not doing the actual work. The best systems capture knowledge as a byproduct of work, not as an additional step after it.
Not the deliverables — the understanding of clients, the lessons from past projects, the judgment that accumulates over time. This is what makes a team effective. And it's the most fragile thing they have.
An AI that knows you — your clients, your projects, your writing style — is worth ten times more than a generic one. Individual context is the foundation. Team context is what you build on top.
Enterprise knowledge management was built for companies that have a dedicated IT team, a 6-month implementation budget, and a documentation culture. Most teams don't have any of those things.
That's why we have a design partner program instead of a self-serve trial. We want to understand your problems deeply enough to build something that actually solves them — not just something that demos well.
This is the mission. Not 'improve productivity' or 'streamline workflows.' The specific thing we're solving: your business should not have to start over every time someone leaves.
If you run a team that has felt this problem — the turnover, the lost context, the work that gets repeated — we'd like to hear from you.