Use Case

Model Operations (MLOps/LLMOps)

Streamline AI model deployment with governance built-in.
One platform. Every model. Complete visibility.

User Story

"I'm the ML Engineering Lead at a tech company. We have LLMs for customer service, traditional ML for fraud detection, vision models for quality control, and embedding models for search. Each model type had different tools, no unified governance, and blind spots in production. SUPERWISE gave us one platform for all model types—unified monitoring, consistent policies, and complete visibility. Now we can govern our entire AI portfolio from a single dashboard."

Scenario

Role
ML Engineering Lead
Industry
Technology
Challenge
Different tools for different model types, no unified view, inconsistent policies, production blind spots
Solution
SUPERWISE Model Operations with unified governance for LLMs, ML, vision, and embedding models
Outcome
Single platform for all models, unified monitoring, consistent policies, complete visibility

Unified Model Operations

One

Platform

Unified governance for all model types

100%

Visibility

Complete view of all AI models

<10ms

Latency

Policy evaluation overhead

Real-time

Monitoring

Continuous model health tracking

Every Model Type, One Platform

SUPERWISE governs your entire AI ecosystem—not just LLMs.

Large Language Models

GPT-4, Claude, Llama, Mistral

  • Hallucination detection
  • Content safety
  • Token optimization

Traditional ML Models

XGBoost, Random Forest, Neural Networks

  • Drift detection
  • Feature monitoring
  • Prediction quality

Vision Models

Object detection, OCR, Image classification

  • Output validation
  • Confidence thresholds
  • Bias detection

Embedding Models

Sentence transformers, CLIP, Custom embeddings

  • Similarity monitoring
  • Drift alerts
  • Quality scoring

Unified Model Operations Workflow

From model registry to lifecycle management—govern all model types with one platform

Step 1

Model Registry & Catalog

Register all models in a centralized catalog—LLMs, traditional ML, vision, embeddings. Track metadata, versions, owners, and business use cases.

Centralized model registry
Model metadata tracking
Version control
Step 2

Model-Specific Guardrails

Apply model-appropriate guardrails—hallucination detection for LLMs, drift detection for ML, output validation for vision. Each model type gets optimized protection.

Model-specific guardrails
Hallucination detection
Drift detection
Output validation
Step 3

Unified Monitoring & Observability

Monitor all models from a single dashboard. Track performance, latency, accuracy, and quality metrics across your entire AI portfolio.

Unified monitoring dashboard
Performance tracking
Quality metrics
Step 4

Consistent Policy Enforcement

Apply consistent governance policies across all model types. Define access controls, data policies, and quality thresholds that work for every model.

Unified policy engine
Consistent enforcement
Access controls
Step 5

Lifecycle Management

Manage the complete model lifecycle—deployment, monitoring, retraining, retirement. Track model lineage, dependencies, and changes.

Model lifecycle tracking
Deployment automation
Retraining workflows

The Challenge

  • Different tools for different model types
  • No unified view of model health
  • LLMs hallucinate, ML models drift silently
  • Inconsistent policies across model types
  • Blind spots in production AI

The Solution

  • Unified governance for all model types
  • Single pane of glass for model health
  • Model-specific guardrails that adapt
  • Consistent policies, flexible enforcement
  • Complete visibility across your AI portfolio

How SUPERWISE Enables Unified Model Operations

One platform for all model types—LLMs, ML, vision, and embeddings

SUPERWISE Features

  • Model registry (centralized catalog for all model types)
  • Model-specific guardrails (hallucination detection, drift detection, output validation)
  • Unified observability (single dashboard for all models)
  • Consistent policy engine (governance across all model types)
  • Complete audit trails (model lifecycle, performance, changes)

Feature Combinations

  • Model registry with unified observability for complete visibility
  • Model-specific guardrails with consistent policy engine for balanced governance
  • Unified monitoring with audit trails for complete accountability

Complete Model Governance

From inference to insight—govern every model interaction.

Drift Detection

Catch model drift before it impacts users—LLMs, ML, or vision.

Output Validation

Validate predictions, block hallucinations, enforce quality.

Performance Tracking

Track latency, accuracy, and quality across all models.

Low Latency

Policy evaluation in under 10ms—no impact on inference.

Not Just LLMOps—Full Model Operations

LLMOps Tools

Only govern LLMs. What about your ML models? Vision? Embeddings?

MLOps Platforms

Great for ML, but LLMs are an afterthought. No guardrails.

SUPERWISE

Unified governance for every model type. One platform. Complete control.

Model Operations in Action

Deep-dive into ML monitoring, anomaly detection, and data-driven retraining strategies.

Govern All Your Models Today

See how SUPERWISE provides unified operations across your entire AI portfolio.