Your AI workforce.Always working.
Deploy autonomous AI employees that execute real work across your organization — from project management and marketing to HR, finance, sales, and customer support.
30+ skills across 6 departments, 4 model providers, working around the clock.
Central intelligence layer
Your team shouldn't have to do everything by hand.
- The same repetitive tasks, every week
- Constant context switching
- Too many tools that don't talk to each other
- Reports nobody has time to write
- Analysis that waits until it's too late
- Workflows held together by memory and goodwill
Stop managing every task.Start managing the AI that does them.
Watch your AI work.
One request. One AI Project Manager. It gathers context from your tools, reasons over it, and hands back a report your team can act on.
09:41 New task
“Analyze this week's project risks.”
Assigned to Sami, AI Project Manager
Reads the brief, picks the skills it needs.
Pulls context from your tools
GitHub Jira Linear SlackAnalyzes the signals
Stale pull requests, velocity changes, unassigned work.
3 risks detected
Scored by impact and urgency.
Mitigation plan generated
One concrete next step per risk.
Report delivered
Posted to your channel, ready for review.
Weekly risk report
Meet your AI workforce.
Each AI employee has a role, a job description, assigned projects and its own skills. Open any profile to see what it does and what it's doing right now.
Swipe to meet the team
Don't read about it. Watch it happen.
Agents run on LangGraph ReAct reasoning with real tool calls, so every capability ends in an action, not a suggestion.
Daily digest
def list_orders(request):
- q = request.GET["q"]
+ sql = f"SELECT * FROM orders WHERE ref='{q}'"
+ rows = cursor.execute(sql).fetchall()
+ for o in rows:
+ o.items = Item.objects.filter(order=o.id)
return render(request, "orders.html",
+ {"rows": rows, "dbg": True})
Checkout button unresponsive on Safari
#1297 opened by a customer via support
Thank you for reaching out. I've attached pricing for 40 seats on our Business plan and suggested two times for a short call this week.
One AI workforce.
Every department.
Begin with project management, then add AI employees for marketing, HR, business development, finance and customer support.
Swipe through departments
Every agent has a brain.
Agent
A persona with a role, a job description and assigned projects.
Memory
Project context and past work, retrieved when relevant.
Reasoning
A ReAct loop: think, choose a tool, observe, think again.
Tools
Real calls into GitHub, email and your team's tools.
Actions
Labels, reviews, drafts and plans, applied where the work lives.
Results
Reports and outcomes your team can review.
Configure every agent individually:
The right model for every agent.
Each AI employee chooses its own model and provider. Try it: change a model below and watch the routing update.
Provider availability depends on your plan. Additional providers are available on Business.
Assign.Execute.Learn.Report.
Give an agent a goal once. It plans, calls the tools it needs, checks its own output, reports back, and carries the context into the next task. No prompt required every time.
AI does the work.
Your team stays in control.
Decide which actions run on their own and which wait for a person. Approvals, roles and audit trails fit around your workflow, not the other way round.
To: customer, ticket #3318, refund request
Hi Dana, thanks for your patience. I've confirmed the duplicate charge on your March invoice and started a refund to your original payment method. You'll see it within 5 to 7 business days.
- Supervisor approval
Outbound replies and sensitive actions can wait for a human before anything is sent.
- Security checks on inbound email
Messages are checked before an agent acts on them.
- Role-based accessPro+
Control who can create agents, change skills and approve work.
- Audit logBusiness+
A record of what each agent did and who approved it.
- SSO / SAMLBusiness+
Sign in with your company identity provider.
Your whole workforce, at a glance.
Every agent, task, run and report in one place, updating live over WebSocket.
Overview
Demo dataSearch agents, tasks, reportsDepartment activityRuns this week
Live activity
Agent performance
Recent reports
Alerts
Works where your team already works.
Agents read from and act inside the tools you use today.
Pull requests, issues, reviews and activity digests.
Inbox polling, routing and drafted replies.
Reports and updates in your team channels.
Pro+Issues and sprints for planning and triage.
Pro+Issues and cycles for product teams.
Pro+Reports and updates for Teams-based organizations.
Business+Incident management for on-call teams.
Business+Single sign-on with your identity provider.
Business+Built on a production-grade stack.
Containerized, self-hostable and extensible. Here is how a request travels through it.
InterfaceWhat your team sees
ApplicationAPI, accounts, permissions
Agent runtimeReasoning and tool calling
Work queueScheduled and background runs
Data & memoryRecords and agent context
DeploymentRuns on your infrastructure
Your AI.Your infrastructure.Your control.
Fully containerized. Deploy it on servers you run.
Run agents on Ollama so prompts and data stay on your hardware.
Role-based access, SSO/SAML and an audit log on higher plans.
Enterprise supports the deployment model your organization needs.
Start free. Scale as your workforce grows.
Five plans, from a single self-hosted team to the whole organization.
Prices in USD. Taxes may apply.
Your next hire doesn't need a desk.Just a job description.
Describe the role, assign the projects, choose the model. Your first AI employee can start today.