The Fiddler AI Control Plane provides enterprises with visibility, context, and control across the agentic lifecycle with observability, guardrails, a
Fiddler AI is praised for its capabilities in model interpretability and offering actionable insights, which users find beneficial in understanding AI decisions. However, the tool receives criticism for its complex user interface, which can be challenging for beginners. The pricing is often viewed as on the higher side, potentially limiting accessibility for smaller businesses. Overall, Fiddler AI holds a positive reputation for its advanced features, though it could benefit from enhancements in usability and pricing flexibility.
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Fiddler AI is praised for its capabilities in model interpretability and offering actionable insights, which users find beneficial in understanding AI decisions. However, the tool receives criticism for its complex user interface, which can be challenging for beginners. The pricing is often viewed as on the higher side, potentially limiting accessibility for smaller businesses. Overall, Fiddler AI holds a positive reputation for its advanced features, though it could benefit from enhancements in usability and pricing flexibility.
Features
Use Cases
Industry
information technology & services
Employees
110
Funding Stage
Series C
Total Funding
$112.7M
Pricing found: $30, $1, $0.002
Yes, Fiddler AI offers a free tier. Pricing found: $30, $1, $0.002
Key features include: Evaluate and monitor agents and predictive applications throughout their lifecycle., Analyze and understand agent behavior, model performance, and associated risks., Protect and enforce AI applications with guardrails that prevent costly incidents in real-time., Gain enterprise-wide visibility into AI applications and meet compliance requirements., Evaluate agents and models in development with curated test datasets and stress tests., Run experiments to compare prompts, models, parameters, and guardrail settings., Test for hallucinations, drift, and policy violations before launch., Customize Fiddler evaluators for domain-specific use cases..
Fiddler AI is commonly used for: Monitoring AI model performance in real-time to ensure compliance with industry regulations., Evaluating the effectiveness of different machine learning models through controlled experiments., Implementing guardrails to prevent AI systems from making harmful decisions autonomously., Analyzing agent behavior to identify potential biases or risks in decision-making processes., Conducting stress tests on AI applications to assess their robustness under various scenarios., Customizing evaluation metrics for specific industries, such as finance or healthcare..
Fiddler AI integrates with: OpenAI, Anthropic, AWS, Google Cloud, Azure, Databricks, Snowflake, Kubernetes, TensorFlow, PyTorch.
