Skip to main content
Behaviour Runtime Intelligence

Behaviour Runtime Intelligence for AI agent fleets

When uptime is green but agents choose the wrong tool, you need more than APM or LLM traces — observe behaviour, understand intent, recover with governance.

Works with your existing AI stack

Framework-agnostic and provider-neutral. Deploy across the AI ecosystem you already use.

Runtime
Live
Behaviour signals from instrumented fleets
Control plane
Governed
Policy-aware autonomous recovery
Isolation
Scoped
Multi-tenant observation boundaries
Outcomes
MTTR
Recovery intelligence leadership can track
Capabilities

Everything you need. Nothing you don't.

Four layers that turn raw agent activity into governed, autonomous outcomes.

01

Agent Actions

Capture every trace, event, log, and metric your agents emit — a complete, structured record of what your fleet actually does.

02

Behaviour Signals

Turn raw activity into meaning. Sessions, decisions, and state changes become high-fidelity signals you can reason about.

03

Intelligence Layer

Correlate, reason, and detect across the whole ecosystem. Predict outcomes before they become Runtime Cases.

04

Autonomous Outcomes

Recover, adapt, and self-heal. PUVINoise closes the loop with governed, automatic remediation.

How it works

Three steps. Continuous intelligence.

From instrumentation to autonomous recovery — PUVINoise closes the loop.

I

Instrument your agents

Drop in the PUVINoise SDK or connect your framework. Traces, logs, metrics, and events flow in with zero configuration.

II

Observe & understand

Behaviour signals, the intelligence layer, and the graph surface intent, anomalies, and risk across your entire fleet.

III

Recover automatically

Governed policies and autonomous recovery act on predictions — resolving issues before they reach production impact.

Enterprise AI Lifecycle

From discovery to scale

One continuous path — Engineering accelerates success on PUVINoise™.

  1. Discover

    Identify gaps before they become Runtime Cases.

  2. Strategy

    Align outcomes, architecture, and governance.

  3. Engineer

    Build production-ready AI systems.

  4. Deploy

    Ship with evaluation and instrumentation.

  5. Observe

    Run behaviour runtime intelligence.

  6. Optimize

    Improve reliability and cost continuously.

  7. Scale

    Operate with Managed Runtime as needed.

Enterprise AI Systems

How We Partner With You

From strategy to production — engineer, deploy, and continuously improve enterprise AI systems.

Introduces

Enterprise AI Engineering

Enterprise AI systems engineered for production.

AI Strategy · Agent Engineering · Integration · Production Readiness

Powers production

PUVINoise™

Behaviour Runtime Intelligence

Observe. Understand. Govern. Recover. Optimize.

Sustains

Managed Runtime

Continuous runtime intelligence for production AI — powered by PUVINoise™.

Monitoring · Runtime Case Response · Governance · Optimization

Ecosystem

Built for your entire stack.

Frameworks, model providers and cloud platforms — PUVINoise instruments the tools your agents already run on, with no lock-in.

LangChainLangGraphCrewAIAutoGenLlamaIndexOpenAIAnthropicAWSAzureGoogle CloudNVIDIADatabricksSnowflakeOracleIBM
Security

Trust is non-negotiable.

Enterprise-grade security posture is designed into every layer of PUVINoise — from multi-tenant isolation to governed autonomous action. Public certification claims appear only when legal has approved exact wording.

Multi-tenant isolationAudit-oriented workflowsGoverned autonomyTLS in transitSecurity review path

Security posture · Trust Center · Status

Multi-tenant isolation

Strict tenant boundaries across data, compute, and control planes. Your telemetry stays yours.

Encryption in transit

TLS for signals and events in transit. Detailed encryption posture is covered in security review — not invented as marketing badges.

Governed autonomy

Every automatic action passes through a policy engine with full audit trails and human overrides.

AI-native controls

Behaviour-aware controls help detect prompt abuse, tool misuse, and anomalous agent activity.

For developers

Built by engineers, for engineers.

A thoughtfully designed SDK that gets out of your way. Instrument agents in minutes with intuitive APIs and first-class TypeScript support.

TypeScript native
Full type safety with auto-generated types.
Framework agnostic
Works with LangChain, CrewAI, AutoGen, and more.
Zero config
Sensible defaults that just work out of the box.
Runtime ready
Runs anywhere your agents run — cloud, edge, on-prem.
# Install the PUVINoise SDK
npm install @puvinoise/sdk

Ready to see agent behaviour clearly?

Start a free evaluation on app.puvilabs.com — or review Pricing and AI credits when you need commercial clarity.

Enterprise-ready · Multi-tenant · Governed autonomy · Clear comparisons at /compare