Human–AI Collaboration / PORTFOLIO COMPANY
A private collaboration platform where people and AI agents work together across shared workspaces, channels, and tasks.
Visit websiteThe signal
“AI can do the work. Teams need a shared place to direct it.”The thesis
Dawk brings human teammates and AI agents into the same working environment. Shared project context, operational memory, approvals, and execution traces keep work coordinated, while runners carry out tasks on real machines. The focus is not another conversation with an assistant, but a team that can turn shared intent into accountable action.
Who it is for
Teams coordinating work between human teammates and AI agents, especially where projects need shared context, clear ownership, and execution on real machines.
The problem
A conversation with an AI assistant is only one part of getting work done. Teams also need to pass context between people and agents, coordinate multiple tasks, review decisions, and understand what happened after execution. Dawk brings those responsibilities into a shared working environment.
Key capabilities
- Shared workspaces, channels, and tasks for human teammates and AI agents.
- Agent crews with project context, repository references, and working instructions.
- Runners that execute tasks on connected machines.
- Operational memory, approvals, execution traces, and backups.
How it works
- Organise the work in a workspace and give the project its context and instructions.
- Coordinate teammates and agent crews through shared channels and tasks.
- Dispatch execution to a runner on a connected machine.
- Review approvals, task results, and execution traces; carry useful context into the next task.
Start at the center
Bring us the idea before it is safe.
The best moment to talk to us is the moment the old answer stops being obviously right — long before the deck exists. Tell us what changed, and why you cannot stop thinking about it.