Build with the right context
Combine models, tools, skills, and knowledge into reusable agents, then orchestrate multi-step work visually.
Tabro puts agents, workflows, models, tools, and knowledge in one control plane, so teams can build, test, release, operate, and govern reliable AI applications.
Move from experimentation to production without losing the context, controls, and evidence your team needs.
Combine models, tools, skills, and knowledge into reusable agents, then orchestrate multi-step work visually.
Start work through triggers and governed APIs, then follow conversations, runs, and traces from one control plane.
Bring evaluation, releases, human approval, secrets, cost visibility, and audit history into the delivery lifecycle.
Tabro keeps delivery explicit from the first provider connection to every production trace.
Configure model providers, MCP servers, HTTP APIs, tools, and knowledge sources.
Create reusable agents and compose them into explicit, reviewable workflows.
Evaluate results, inspect traces, and put human approval on consequential steps.
Publish stable versions, observe production runs, and optimize quality and cost.
Identity, role controls, protected secrets, human approval, release policy, traces, audit history, and cost analysis form a production-oriented control plane.
Open the governed consoleControl access with deployment-scoped authentication and role mapping.
Keep provider and tool credentials out of workflow definitions.
Pause sensitive actions until an authorized reviewer makes the call.
Trace executions, audit changes, and understand what each run cost.
Bring the team into one place to build useful AI systems and keep them dependable in production.