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AI agent and workflow platform

Bring AI agents from idea to production

Tabro puts agents, workflows, models, tools, and knowledge in one control plane, so teams can build, test, release, operate, and govern reliable AI applications.

Visual workflowsMCP and API toolsKnowledge retrievalHuman approvalRun tracing
Workflow control plane
Live
Contract review workflow
Production run
Running
Document input
Ready
Knowledge search
Complete
Agent analysis
Running
Human approval
Waiting
Trace
Recorded
Tools
3 connected
Cost
$0.08
One platform, complete lifecycle

Build quickly. Run reliably. Govern continuously.

Move from experimentation to production without losing the context, controls, and evidence your team needs.

Build

Build with the right context

Combine models, tools, skills, and knowledge into reusable agents, then orchestrate multi-step work visually.

Agents and prompts
Visual workflows
Knowledge grounding
Run

Operate every execution

Start work through triggers and governed APIs, then follow conversations, runs, and traces from one control plane.

APIs and triggers
Live run activity
End-to-end traces
Govern

Ship with control

Bring evaluation, releases, human approval, secrets, cost visibility, and audit history into the delivery lifecycle.

Human approvals
Versions and releases
Cost and audit
A clear path to production

Connect, design, validate, and improve

Tabro keeps delivery explicit from the first provider connection to every production trace.

  1. 01

    Connect your stack

    Configure model providers, MCP servers, HTTP APIs, tools, and knowledge sources.

  2. 02

    Design the behavior

    Create reusable agents and compose them into explicit, reviewable workflows.

  3. 03

    Test before release

    Evaluate results, inspect traces, and put human approval on consequential steps.

  4. 04

    Release and improve

    Publish stable versions, observe production runs, and optimize quality and cost.

Security & governance

Visible, controlled, and traceable

Identity, role controls, protected secrets, human approval, release policy, traces, audit history, and cost analysis form a production-oriented control plane.

Open the governed console

Identity and roles

Control access with deployment-scoped authentication and role mapping.

Protected secrets

Keep provider and tool credentials out of workflow definitions.

Human control

Pause sensitive actions until an authorized reviewer makes the call.

Operational evidence

Trace executions, audit changes, and understand what each run cost.

Ready to build your first agent?

Bring the team into one place to build useful AI systems and keep them dependable in production.