Swisper Studio

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.

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
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.

See Studio run a live agent.

We'll trace it, cost it, and score its quality, in real time.