Fiddler AI is positioned as an enterprise AI Control Plane, designed to provide systematic trust for first-party and third-party agents from the creation layer to the production layer. Through continuous evaluation, reliable monitoring, enforceable policies, and auditable governance, it helps enterprises gain centralized control and actionable insights when scaling AI.
In terms of use, Fiddler primarily serves enterprises that need unified observability, evaluation, and policy enforcement. It covers both the creation layer where code is written and the production layer where agents run in the business, so that governance is not interrupted by deployment.
Key capabilities include:
- Real-time guardrails: enforce policies inline on the request and response paths of agents, with latency below 80ms, and can intercept violations before data leaves the network rather than flagging them after the fact. It can protect against hallucinations, toxicity, PII/PHI, prompt injection, and jailbreak attempts.
- Evaluation and monitoring: provides 100+ predefined metrics and any custom metrics, supporting continuous evaluation and monitoring of agents and predictive systems.
- Cost efficiency: the Fiddler Centor model runs in the user's own environment, eliminating the "evaluation trust tax" that competitors pass on through external LLM API calls for each evaluation, while providing the industry's fastest guardrails and evaluations with low latency and low cost.
- Governance and compliance: provides auditable governance to meet enterprises' needs for policy enforcement and compliance audits.
In terms of usage, enterprise teams can request a demo to evaluate the platform with their own use cases. Fiddler supports SaaS, VPC, and AWS GovCloud deployments, is an AWS preferred partner, and can securely run AI observability within Amazon SageMaker Studio. The platform model is cloud-agnostic and compatible with Azure OpenAI, Amazon Bedrock, LangGraph, and 100+ other providers.
Applicable scenarios include various industries deploying agents, especially highly regulated industries such as financial services, healthcare, insurance, and government. Typical users are software and AI engineers, data scientists, platform and DevOps teams, as well as security and compliance teams responsible for keeping agents and predictive models accurate, safe, and compliant.
In terms of limitations, the materials do not provide specific technical limitations, integration details, or service level agreements. Regarding pricing, the Free plan includes real-time guardrails powered by the Fiddler Centor model, with latency below 80ms; the Developer plan is usage-based, at $0.002 per trace, adding unified observability, custom evaluators, and SSO; the Enterprise plan adds enterprise-grade guardrails, flexible deployment (SaaS, VPC, or on-premises), infrastructure scalability, and white-glove support, including a designated customer success manager and customized onboarding. Full details require viewing the pricing page.
