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Behaviour Runtime Intelligence

Behaviour Runtime Intelligence for AI systems and agents

When uptime is green but agents choose the wrong tool, you need more than APM or LLM traces — PUVINOISE™ shows whether your AI systems and agents behave as intended at runtime.

Works with your existing AI stack

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

Observability
What happened?
Policy & guardrails
What was allowed?
Security
What was risky?
PUVINOISE™
Did it behave as expected?

Keep your observability, policy and security tools. They tell you what happened, what was allowed and what was risky. PUVINOISE™ tells you whether it was expected.

Capabilities

Everything you need. Nothing you don't.

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

01

Agent Actions

Capture the traces, events, logs, and metrics your agents emit — a 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 deviation from expected behaviour across the whole ecosystem — and see what is likely to happen next.

04

Autonomous Outcomes

Recover with governance. PUVINOISE™ closes the loop with governed remediation, with your teams in control.

How it works

Three steps. From intent to governance.

From intended behaviour to governed action — PUVINOISE™ closes the loop.

I

Understand intended behaviour

Connect your AI systems and agents through the PUVINOISE™ SDK or your framework, and establish how each one is meant to behave.

II

Identify meaningful deviation

Know when agents stop behaving as intended at runtime — and which deviations actually matter.

III

Bring deviations under governance

Meaningful deviations become Runtime Cases your teams can investigate, act on, and account for — with governed recovery.

Enterprise AI Lifecycle

From discovery to scale

One continuous path — Engineering accelerates success on PUVINOISE™.

  1. Discover

    Identify gaps early.

  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 clouds — PUVINOISE™ works with the stack your agents already run on, with no lock-in.

LangChainLangGraphCrewAIAutoGenLlamaIndexOpenAIAnthropicAWSAzureGoogle Cloud
Security

Trust what your agents do, not just what they log.

Security is designed into PUVINOISE™ — from tenant-scoped data to governed autonomous action.

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

Security posture · Trust Center · Status

Multi-tenant isolation

Tenant-scoped data and access across the platform. Your telemetry stays yours.

Encryption in transit

TLS for signals and events in transit. Detailed encryption posture is covered in security review.

Governed autonomy

Automatic actions run under the policies your teams set, are recorded for audit, and keep a human override.

AI-native controls

Identify risky or unexpected agent behaviour at runtime and bring it under governed response — alongside the security controls you already run.

For developers

Built by engineers, for engineers.

A thoughtfully designed SDK that gets out of your way. Instrument Python agents in minutes with intuitive APIs.

Python native
pip install puvinoise-sdk, with optional OpenAI and Anthropic extras.
Framework agnostic
Works with LangChain, CrewAI, AutoGen, and more.
Environment configured
bootstrap() reads agent identity and keys from PUVINOISE_* variables.
Deployment flexible
Runs inside your Python agent process, wherever you host it.
# Install the PUVINOISE SDK
pip install puvinoise-sdk

Ready to see agent behaviour clearly?

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

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