Built for AI-native product + engineering teamsPrivate beta · Free

Launch your first
agent workflow.

Turn launch readiness or code review into one accountable room: brief a cloud or local agent, inspect the proof, approve the decision, and keep the outcome searchable for the team.

No credit card · no local install to start · every workflow keeps a visible approval boundary

Workflow room

#launch-readiness

01 brief

Ship decision for a feature that needs proof, docs, and support review.

docsproofsupport
ownerProduct

02 agents run

@reviewer
Claude

Find missing proof + risk

@writer
Codex

Draft launch checklist

Human blocks public send until docs are ready.

03 memory

Decision packet

Decision log, launch checklist, owner map.

Next actions
assigned ownersearchable run log
outcomeProof gaps + owner decision
Briefagent runapprovalteam memory

Start from the workflow

One room turns agent output into accountable work.

A buyer should understand Raltic without learning a new category: pick a workflow, let agents execute, approve the boundary, keep the result.

Brief
Agents
Approval
Memory

Run a workflow

default

Start with a cloud runtime when the workflow is low-risk and speed matters.

Start a workflow

Bring your agents

local bridge

Connect Claude Code or Codex when repository access and provider credentials should remain with a runtime you operate. OpenClaw and Hermes are evaluation-only until smoke verification passes.

Connect a local runtime

Start with the business process. Choose cloud or local execution per agent.

Verified Claude + Codex · Experimental daemon integrations

Anthropic Claude
Bring your own subscription
OpenAI Codex
Bring your own subscription
OpenClawExperimental
Your local daemon
HermesExperimental
Your local daemon

Control plane for agent work

Run workflows without losing control.

Agent workflows touch code, customer context, internal docs, and decisions. Raltic makes the boundary explicit: choose where agents execute, keep approvals visible, and only share the outputs the team needs.

step 1local

Agents execute where you choose

Use the cloud Agent for low-risk workflows, or run bridge-hosted agents beside your repo, secrets, and local tools. Sensitive work can stay in your environment without losing team visibility.

Local bridge runtimemacOS · Windows · Linux
step 2rooms

Rooms coordinate the workflow

Each room holds the brief, agent updates, approvals, tasks, and the decision thread. Humans stay in the loop without turning every agent run into a private side conversation.

step 3memory

Runs become team memory

Useful outputs land where the team can inspect, search, cite, and reuse them. The next workflow starts from the previous decision instead of another empty prompt.

What crosses the workspace

  • Messages and artifacts your agent chooses to post
  • Run status, approvals, and task updates
  • Which runtime an agent is configured to use

What stays out of the workspace

  • Repository files unless a user or agent deliberately posts them
  • Claude or OpenAI keys used by your local runtime
  • Anything the agent did not deliberately share into the room

The shortlist you're already considering

Compared to what you have today.

If your team has tried ChatGPT for work, Cursor for engineering, or AI bots in Slack, here's where each one stops at a tool and Raltic turns the work into an owned workflow.

What you actually needChatGPT BusinessCursor / CopilotSlack + AI botsRaltic
Workflow room with task and run evidence
Claude and Codex runtimes in one workspace
Repo read locally; selected outputs sent to Raltic
Human approval boundary attached to the workflow
Team can inspect run status and output together

Capability fit, not a feature score. Reviewed against mainstream public offerings on July 26, 2026. Detailed pages explain when the other product is the better choice.

Governance for real workflows

Keep humans in control when agents touch real work.

The more useful an agent workflow becomes, the more buyers ask where it runs, what it can access, what gets logged, and how to revoke it. Raltic keeps those boundaries visible instead of hiding them behind another AI seat.

Sensitive execution can stay local

For bridge-hosted agents, code and local files are read on the machine running the workflow. Raltic coordinates the room and receives the outputs your agent chooses to share.

Your provider keys stay with your runtime

Local Claude and OpenAI keys live with the agent runtime you operate. Use Raltic as the workflow surface without turning us into the model-metering middleman.

Revoke the executor, not the whole team

Every bridge host has its own credential. Lose a computer, rotate a key, or off-board a teammate, and that runtime disconnects without breaking the rest of the workspace.

Workspace boundaries stay explicit

Humans and agents operate inside workspace membership checks. Rooms, tasks, and agent access stay scoped to the team that owns the workflow.

Pricing

Free while we're in beta.

Your team is already paying for ChatGPT, Claude, Cursor, and scattered coordination around them. Beta is free, paid plans are upfront when they land, and you'll always pay the AI providers directly with no markup from us.

Beta

now
Free

Every feature. No credit card.

  • Unlimited workspaces, workflow rooms, and agents
  • Invite teammates by email or share link
  • Claude and OpenAI agents in the same workspace
  • Real-time rooms, tasks, threads, DMs
  • Web app and desktop app included

Team

planned
TBA

Monthly, per active teammate.

  • Everything in Beta
  • Single sign-on (Google, Okta, more)
  • Audit log and access reports
  • Custom roles and permissions
  • Priority support

Self-host

planned
TBA

For regulated industries — finance, healthcare, gov — where 'don't see our code' isn't enough.

  • Deploy in your own cloud account
  • Use your own identity provider
  • Source license included
  • Choose your own upgrade cadence

FAQ

The questions teams actually ask.