Fiddler AI

Categories: Data Analysis, Cybersecurity, Automation / Agents | Pricing: Freemium | Official Website ↗

Fiddler AI provides an AI Control Plane for enterprise agents, offering observability, security, and governance for AI and ML systems.

Fiddler AI offers an AI Control Plane designed for enterprise agents, providing comprehensive observability, security, and governance capabilities. It enables organizations to test, observe, protect, and govern AI at scale, ensuring end-to-end visibility and control throughout the agentic lifecycle. The platform includes purpose-built trust models for secure evaluation and guardrails to protect agentic applications. The platform focuses on AI Governance, Risk Management, and Compliance, offering centralized control and accountability for enterprise AI. It also supports Responsible AI initiatives by helping mitigate bias and fostering a responsible AI culture. Fiddler AI aims to deliver high-performing AI solutions while ensuring safety, faithfulness, and PII protection through its guardrails and continuous monitoring.

Key Features

Agentic Observability
Fiddler Trust Service
Guardrails for AI applications
AI Governance, Risk Management, and Compliance
Responsible AI tools
ML Observability
Real-time guardrails against hallucinations, toxicity, PII/PHI, prompt injection, jailbreak
Unified AI observability for agentic and predictive systems

Pros

Provides end-to-end visibility and control for AI agents.
Offers robust guardrails for security and risk mitigation.
Supports AI governance, risk management, and compliance.
Includes features for mitigating bias and building responsible AI.
Offers flexible deployment options for enterprise clients (SaaS, VPC, on-premise).

Cons

Pricing for enterprise features requires contacting sales.
No explicit mention of a free trial for paid plans.
Specific API availability is not detailed on the website.
The Developer plan is priced per trace, which might be complex to estimate for some users.
Focus is heavily on enterprise, potentially less suitable for small teams.

Use Cases

Operationalizing multi-agent AI copilots
Ensuring transparent and compliant AI products
Delivering agentic customer experiences
Maximizing customer lifetime value with agentic AI
Running autonomous financial AI operations

Best For

Enterprises deploying AI agents
Organizations requiring AI governance and compliance
Teams focused on responsible AI development
Government and defense sectors
Healthcare and insurance industries

Integrations: Amazon SageMaker AI, Google Cloud (Vertex AI), NVIDIA NIM and NeMo Guardrails, Databricks, Datadog

Platforms: Web

Watch demo on YouTube ↗

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