We started Kinelo to bring AI into the room.

Before Kinelo, we built Avy.ai, a local-first assistant for the Mac. It ran small models on your own machine, learned how you worked, spotted your patterns, and offered to handle them for you. Building it taught us the lesson that became this company: the hard part of useful AI is not the model. It is getting the right context to the right place at the right moment. Avy did that for one person at a time.

At an offsite in Utah, our small team was sitting around a conference table. We were talking about our own use of AI tools. We use them constantly, for coding, market analysis, contract review, and the rest. AI had not fundamentally changed how our team worked together.

AI tools produce inconsistent work because they are not in the loop the way teammates are. They are out of sight and out of mind, reactive, invoked. They are isolated from each other and from the team's actual work. When you ask a coding assistant for help, it does not know about the schema change someone mentioned in standup yesterday, or the scope clarification in the Slack thread this morning, or the deadline that shifted because of a customer escalation. So it produces work that is just not right. It feels like slop.

Then we noticed something else. As we sat around the table looking at each other in three dimensions, the AI we were talking about was not in the room with us.

How would AI have any hope of being a real teammate if it was not even in the room?

The things humans need to succeed at work, clear goals, background knowledge, ways to ask for help, the ability to participate in conversations, are the same things AI needs to participate meaningfully. Without them, AI is a tool you invoke. With them, AI becomes a teammate.

Kinelo is what we built to give AI those things, and to give humans the system that makes working with AI feel like working with another teammate.