01
Execution path
Tracing
- Every node, tool call, interrupt, recall, and state change
- Model, prompt, latency, and tokens on every call
- Open any node directly in The Lab
Studio · Trace view
Your AI agents act. You're still accountable.
The EU AI Act and the Digital Operational Resilience Act (DORA) require traceability, human oversight, and a provable record.
Studio makes agentic AI auditable, governable, and safe to run at enterprise scale.
Most platforms show you the failure. They can't recreate it.
An agent acts on a customer, a portfolio, a core system. You can't see why it decided what it did, prove what was deployed when, or roll back without a fire drill.
Studio makes every agent action traceable, provable, and reversible.
Watch
One tower over every agent, in every environment.
Studio captures every step in your systems, in real time.
02
Multi-agent flow
State Transitions
- See where agents branch and wait for input
- Tree, graph, and timeline views of one run
- Built for debugging multi-agent workflows
Studio · State transition graph
03
Performance
Performance Dashboards
- Latency, throughput, error rates, and availability
- Anomaly detection flags unexpected behavior
- Drill from a metric down to a single trace
Studio · Performance analytics
04
Architecture
Agent Architecture
- Every node classified, LLM, Python compute, or tool
- Trace conditional edges and branches across the graph
- See exactly which nodes executed on any run
Studio · Agent graph
05
Experiment
The Lab
- Turn any production trace into a repeatable test scenario
- Assess with exact match or LLM-as-a-Judge
- Experiment across prompt and model versions before deploy
Studio · The Lab
The outcome
What full control looks like.
Full
Trace to The Lab
Every node, tool call, and state change, reconstructable on demand.
Real-time
Cost and quality
Spend and degradation surface before your users ever feel them.
Versioned
Every configuration
Every prompt, model, and parameter, versioned, diffable, and tracked.
Multi-eye
Approval and rollback
Canary releases and approval gates before rollout, one-click rollback after.
Audit trail
Every deployment
Named approver, timestamp, and diff on every change.
Runtime
Policy as code
Deterministic checks outside the prompt and context window.
Role-based
Access control
Who can edit prompts, approve deployments, or view traces.
Registry
Single source of truth
Every agent, model, and tool, version-controlled with full lineage.
This is full control of agents acting on real systems.
FAQ
The control tower for AI agents, trace every LLM call, tool call, and human intervention, and reconstruct any production failure in seconds.
It provides the traceability, human oversight, and provable audit record these regulations require for AI running in production.
Yes. Studio includes a Lab for prompt optimization and governed deployment with role-based access control (RBAC).
Yes. Studio surfaces real-time cost and quality analytics across all your agents.
See Studio run a live agent.
We'll trace it, cost it, and score its quality, in real time.