Complete AI Visibility. Control Every Model, Agent, and Decision.
Track every model, agent, and decision. Enforce policies in real-time. Build trust with complete audit trails.
SUPERWISE Platform: The Control Plane for AI Operations
SUPERWISE Platform sits between AI applications and underlying models, acting as a control plane that governs, observes, and enforces policies across your entire AI environment.
How the Control Plane Works
When AI applications make requests to models, SUPERWISE Platform intercepts, evaluates, and governs every interaction. This happens at three distinct stages:
Configuration-Time
Define policies, schemas, and datasets. Configure guardrails, access controls, and monitoring rules. This is where governance rules are established before runtime.
Runtime
Guardrails evaluate requests in under 10ms. Events are tracked. Policies are enforced. Every AI decision flows through the control plane, ensuring compliance and safety.
Post-Runtime
Analytics aggregate performance metrics. Audit trails capture complete lineage. Dashboards surface insights. Compliance reports are generated automatically.
The Four Flows: Build, Observe, Safeguard, Govern
Build
Create AI applications using Agents, Datasets, and Schemas. Define the structure and behavior of your AI systems.
Observe
Track every interaction through Sources, Events, and Dashboards. Gain complete visibility into AI operations.
Safeguard
Enforce policies and guardrails at runtime. Block violations before they reach users. Route alerts to Destinations.
Govern
Ensure compliance through audit trails, policy enforcement, and automated reporting. Prove governance is working.
Platform Primitives: The Building Blocks of AI Governance
SUPERWISE Platform is built on composable primitives that work together. These building blocks are reusable, programmable, and cross-industry—enabling you to construct governance solutions that fit your exact needs.
How It Works
Connect
Integrate with your existing AI stack via SDK or API. Support for 50+ providers.
Govern
Define policies, apply guardrails, and control access. All from a single control center.
Scale
Deploy AI with confidence. Automated compliance and risk management at scale.
Integrations & API: Connect to Your Stack
SUPERWISE connects to 50+ LLM providers, vector databases, and enterprise tools. Built API-first for programmatic control and seamless extension.
Read DocsLLM Providers
Frameworks
Vector Databases
Enterprise Tools
Quick Start
from superwise import Superwise
# Initialize with your API key
sw = Superwise(api_key="sw-...")
# Wrap any LLM call
response = sw.chat.complete(
model="gpt-4",
messages=[{
"role": "user",
"content": "Explain AI governance"
}],
guardrails=["pii", "toxicity"]
)
# Full visibility. Complete control.
# Every call logged, every policy enforced.SDK Wrapping Pattern
Wrap existing LLM calls with the SUPERWISE SDK. No code rewrites required. Your applications continue to work as before, but now with governance built in.
The SDK intercepts AI requests, applies guardrails, tracks events, and enforces policies—all transparently to your application code.
Programmatic Control
Control every aspect of governance programmatically. Create agents, define policies, configure sources and destinations, and build dashboards—all via API.
The REST API and Python SDK provide complete programmatic access to platform primitives. Automate governance configuration, integrate with CI/CD, and build custom tooling.
Extensibility
Extend SUPERWISE Platform with custom Sources and Destinations. Connect to proprietary systems, integrate with internal tools, and route events to any endpoint.
Event-driven architecture enables webhooks, real-time alerts, and custom integrations. Build governance workflows that fit your exact operational requirements.
Education
What is Agentic AI?
Agentic AI refers to autonomous systems that can perceive their environment, reason about it, and take actions to achieve goals without constant human intervention.
The Evolution from AI to Agentic AI
Traditional AI systems respond to inputs with outputs. You ask a question, you get an answer. Agentic AI is different: it can pursue goals across multiple steps, use tools, and make decisions without waiting for human approval at each stage.
This shift from reactive to proactive AI creates immense value, but also introduces new risks. When AI can act autonomously, who is responsible for its decisions? How do you ensure it stays within acceptable boundaries?
Key Characteristics of Agentic AI
Autonomous Reasoning
Analyzes situations and determines best course of action independently
Multi-step Execution
Breaks down complex goals into subtasks and executes them sequentially
Tool Usage
Interfaces with external systems, APIs, and data sources to accomplish tasks
Self-correction
Evaluates its own outputs and adjusts approach when results are unsatisfactory
Why Agentic AI Needs Governance
The autonomous nature of agentic AI creates distinct governance challenges that traditional AI oversight does not address. SUPERWISE provides the governance layer that makes agentic AI safe for production:
- Full visibility into agent decisions
- Runtime guardrails that constrain behavior
- Human oversight for high-risk actions
- Complete audit trails for accountability
- Policy enforcement at every step
Deployment & Operations
SUPERWISE Platform runs as a SaaS service by default, with options for private models and seamless coexistence with your existing AI infrastructure.
SaaS Default
Start with SUPERWISE Platform as a fully managed service. No infrastructure to provision, no scaling to manage. Focus on governance, not operations.
The platform handles availability, performance, and security. Your team configures governance rules and monitors compliance—everything else is automated.
Private Models
Govern AI models running in your own infrastructure. SUPERWISE Platform connects to private deployments, on-premises systems, and air-gapped environments.
The SDK and API work the same way whether models are public or private. Governance rules apply consistently across your entire AI portfolio.
Coexistence with Existing Systems
SUPERWISE Platform sits alongside your existing AI tools and workflows. No rip-and-replace required. Wrap existing LLM calls, integrate with current pipelines, and govern incrementally.
The platform is designed to fit into enterprise environments. Works with your CI/CD, monitoring tools, and compliance frameworks. Governance without disruption.
Build on SUPERWISE
Three canonical patterns for implementing governance with SUPERWISE Platform. Each pattern uses specific platform primitives to achieve governance goals.
Pattern 1: Wrap Existing LLM Calls with Governance
Add governance to existing AI applications without rewriting code. Wrap LLM calls with the SUPERWISE SDK to enable guardrails, event tracking, and policy enforcement.
Platform primitives: Agent (represents your application), Event (tracks interactions), Policy (enforces rules), Guardrails (runtime protection), Dashboard (monitors performance).
Pattern 2: Deploy Governed Agents into Production Workflows
Build new AI agents with governance built in from day one. Use Agent Studio to design workflows, test behavior, and deploy to production with automatic guardrails and observability.
Platform primitives: Agent (your AI application), Schema (defines data structure), Dataset (training/validation data), Policy (governance rules), Source/Destination (data flow), Dashboard (operational visibility).
Pattern 3: Observe and Audit AI Already Running in Production
Add governance visibility to AI systems already in production. Connect existing models and applications to SUPERWISE Platform for observability, drift detection, and compliance reporting.
Platform primitives: Source (ingest from existing systems), Event (capture interactions), Dashboard (visualize metrics), Policy (detect anomalies), Destination (export to compliance tools).
Education
What is Agentic AI?
Agentic AI refers to autonomous systems that can perceive their environment, reason about it, and take actions to achieve goals without constant human intervention.
The Evolution from AI to Agentic AI
Traditional AI systems respond to inputs with outputs. You ask a question, you get an answer. Agentic AI is different: it can pursue goals across multiple steps, use tools, and make decisions without waiting for human approval at each stage.
This shift from reactive to proactive AI creates immense value, but also introduces new risks. When AI can act autonomously, who is responsible for its decisions? How do you ensure it stays within acceptable boundaries?
Key Characteristics of Agentic AI
Autonomous Reasoning
Analyzes situations and determines best course of action independently
Multi-step Execution
Breaks down complex goals into subtasks and executes them sequentially
Tool Usage
Interfaces with external systems, APIs, and data sources to accomplish tasks
Self-correction
Evaluates its own outputs and adjusts approach when results are unsatisfactory
Why Agentic AI Needs Governance
The autonomous nature of agentic AI creates distinct governance challenges that traditional AI oversight does not address. SUPERWISE provides the governance layer that makes agentic AI safe for production:
- Full visibility into agent decisions
- Runtime guardrails that constrain behavior
- Human oversight for high-risk actions
- Complete audit trails for accountability
- Policy enforcement at every step
See SUPERWISE Platform in Action
Agentic AI Governance
Watch how SUPERWISE provides the governance layer that makes agentic AI safe for production with real-time guardrails, policy enforcement, and complete visibility.
Enterprise AI Governance
See how SUPERWISE provides API-first architecture with enterprise settings, SSO, audit logs, and self-service capabilities.
Platform Capabilities
Core capabilities of SUPERWISE Platform that work together to provide complete AI governance
Agent Studio
Design, test, and deploy AI agents with visual workflows. Automated testing catches failures before users do.
Explore Agent StudioGuardrails
Runtime protection that stops harmful outputs before they reach users. Policy evaluation in under 10ms.
Explore GuardrailsObservability
Supporting telemetry that informs governance decisions. Track operational health and detect drift.
Explore ObservabilityPolicies
Define what to monitor, when to alert, and how to respond. Your governance rules, enforced automatically.
Explore PoliciesIntegrations
Connect to 50+ LLM providers, vector databases, and enterprise tools. Governance across your entire AI environment.
Explore IntegrationsSUPERWISE /chat
Deploy governed AI chat experiences with built-in guardrails, PII protection, and enterprise-grade compliance.
Learn MoreThe AI space is the Wild West right now. Enterprises need governance, oversight, and day-one guardrails.
Russ Blattner
CEO, SUPERWISE
Analysts Recognize Us
"Major Player" in IDC MarketScape: Worldwide Unified AI Governance Platforms 2025 — alongside IBM, DataRobot, and Collibra.
→Named "Cool Vendor" in Enterprise AI Governance (2020) — 6 consecutive years of Gartner recognition through 2025.
→Featured in 34 Gartner Hype Cycles across Banking, Legal/Risk/Compliance, Data Science, Analytics & BI, and Supply Chain.
→Featured in The AI Governance Solutions Landscape Q2 2025 — among 22 global vendors shaping enterprise AI governance.
→Market Guide for AI Trust, Risk and Security Management (AI TRiSM) — defining the category since 2021.
→"Only 7.9% of enterprises are AI-ready" — IDC Spotlight 2025. SUPERWISE bridges the governance gap.
→Sample Vendor for Explainable AI in 7 Hype Cycles for 2025 — GenAI Banking, Legal Tech, Local Government, and more.
→View all 57+ analyst mentions from Gartner, IDC, and Forrester →
→"Major Player" in IDC MarketScape: Worldwide Unified AI Governance Platforms 2025 — alongside IBM, DataRobot, and Collibra.
→Named "Cool Vendor" in Enterprise AI Governance (2020) — 6 consecutive years of Gartner recognition through 2025.
→Featured in 34 Gartner Hype Cycles across Banking, Legal/Risk/Compliance, Data Science, Analytics & BI, and Supply Chain.
→Featured in The AI Governance Solutions Landscape Q2 2025 — among 22 global vendors shaping enterprise AI governance.
→Market Guide for AI Trust, Risk and Security Management (AI TRiSM) — defining the category since 2021.
→"Only 7.9% of enterprises are AI-ready" — IDC Spotlight 2025. SUPERWISE bridges the governance gap.
→Sample Vendor for Explainable AI in 7 Hype Cycles for 2025 — GenAI Banking, Legal Tech, Local Government, and more.
→View all 57+ analyst mentions from Gartner, IDC, and Forrester →
→Related Content
Explore related content to learn more about AI governance, solutions, and best practices.
Solutions
Explore enterprise AI governance solutions built on the platform.
Guardrails
Learn about real-time guardrails and policy enforcement.
Observability
Discover complete AI visibility and monitoring capabilities.
Pricing
View pricing plans and find the right solution for your organization.
Ready to Take Control?
See how SUPERWISE transforms your AI operations with unified governance.