Aegisys vs Fiddler AI

What Fiddler AI does

Model performance monitoring, drift detection, feature attribution, and explainability for traditional ML models in production. Strong for tabular data and batch prediction pipelines..

What Aegisys does

Aegisys records what the agent DID — signed receipts for every action, not just model metrics. Fiddler watches the model's confidence; Aegisys witnesses the agent's behavior in the real world.

Feature comparison

See the difference

// Before: Fiddler logs a prediction
fiddler.log_prediction(model_id, inputs, outputs);

// After: Aegisys proves the action
const receipt = await witness.wrap(
  { action: "loan.decision", applicant: "app_123" },
  async () => approveLoan(application)
);
// receipt.seal — Ed25519 signature, tamper-evident

Migrating from Fiddler AI

Replace Fiddler's prediction logging with Aegisys receipt wrapping. Your existing Fiddler dashboards stay for model metrics; Aegisys adds the action layer they lack.

When Fiddler AI is the better choice

Honest assessment — Fiddler AI beats Aegisys if:

• You need model performance dashboards for data science teams
• Your primary concern is drift detection in batch prediction
• You have enterprise budget for custom integrations