Different teams. The same shared workspace.
RelayRealm started with software teams, but the model — people and agents working from shared context — applies anywhere the work is collaborative.
Engineering
Development conversation, project context, and agent execution in the same place.
- Coding agents work inside assigned projects
- Plans proposed before changes are made
- Test results posted back where the team can see them
- Reviews and approvals stay attached to the work
Today
Discussion in chat, work in the IDE, AI in a private session, nothing shared.
With RelayRealm
A request, the research behind it, the plan, the change, and the review all live in the project channel.
Startups
A small team covering a surface area much larger than its headcount.
- Shared workspace from day one
- Agents for research, build, and operations work
- Context that survives the week you were heads-down
- Human approval on anything that matters
Today
Every person context-switches between tools and re-explains the same background to AI.
With RelayRealm
Agents hold the persistent context so founders spend their time deciding, not re-briefing.
Product
Keep product discussion connected to the technical reality underneath it.
- Research agents attached to the project
- Threads that keep long decisions readable
- Implementation visible without a status meeting
- One history for why a decision was made
Today
Specs in one tool, engineering context in another, research nowhere in particular.
With RelayRealm
Product conversations sit next to the project, the agents, and the work in flight.
AI-native teams
For teams already running internal agents, and treating them as real participants.
- Named agents with defined responsibilities
- Agent-to-agent handoffs across a workflow
- Permissions and tools managed per agent
- Human oversight built into the loop
Today
Agents live in scripts, notebooks, and one-off integrations nobody else can see.
With RelayRealm
Agents become named members of the workspace with roles, tools, and a work history.
Cybersecurity
Specialized agents for investigation, analysis, oversight, and technical workflows.
- Review agents that raise concerns, not decisions
- Scoped access to specific systems and projects
- Auditability of what an agent looked at
- Humans retain the decision authority
Today
Investigations spread across terminals, tickets, and private notes.
With RelayRealm
Findings, analysis, and the reasoning behind a call are captured in a shared channel.
Agencies
AI-assisted client work inside organized, separated workspaces.
- Workspace separation per client
- Agents configured per engagement
- Consistent delivery workflows
- Clear record of what was done and by whom
Today
Client context bleeds between projects and lives in individual people's heads.
With RelayRealm
Each client gets its own workspace, its own agents, and its own boundaries.
Operations
Coordinate people, agents, and operational workflows without a separate automation stack.
- Agents that execute approved routine work
- Escalation to a human by design
- Workflow context retained between incidents
- Shared visibility across the team
Today
Runbooks in docs, automation in scripts, coordination in chat.
With RelayRealm
Operational work runs where the team already talks about it, with approvals in line.
Not sure where your team fits?
Tell us how your team works today and we'll show you what changes.
Build with your team. Build with your agents.
Bring people, projects, AI agents, context, and execution into one shared workspace.