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Fiddler AI pricing, features, company info, and alternatives
A factual product page for Fiddler AI's enterprise observability and security platform.
Last updated April 2026 · Pricing and features verified against official documentation
Pricing
Current public pricing tiers on file for Fiddler AI, last verified Apr 26, 2026.
Free
$0
Real-time guardrails for harmful exposure, with guardrails centered on safety and privacy detection.
Developer
$0.002 / trace / usage-based
Usage-based plan with unified AI observability, custom evaluators, RBAC, SSO, and SaaS deployment.
Enterprise
Contact sales
Includes enterprise-grade guardrails, flexible deployment in SaaS, VPC, or on-premise environments, and white-glove support.
What You Can Do With It
The main capabilities that shape how people use Fiddler AI today.
Real-time guardrails screen outputs for hallucinations, toxicity, PII or PHI, prompt injection, and jailbreak attempts.
Agentic observability tracks execution context and decision lineage across application, session, agent, trace, and span levels.
The platform combines tests, experiments, dashboards, custom evaluators, RBAC, and SSO for unified AI observability.
Official SDK coverage includes Python, Evals, LangGraph, and Strands clients alongside REST API reference docs.
Best For
Who Fiddler AI is most clearly built for.
Enterprise teams shipping agentic or predictive systems that need observability and policy enforcement together.
Regulated organizations in healthcare, financial services, or insurance that need deployment flexibility and auditability.
Developers who want SDK- and API-based instrumentation for agent workflows and LLM evaluation.
Company
Leadership and company context for Fiddler AI.
CEO
Krishna Gade
Founders
Krishna Gade, Amit Paka
Investors
RPS Ventures, Lightspeed Venture Partners, Lux Capital, Insight Partners, Capgemini Ventures, Dallas VC, Dentsu Ventures, Mozilla Ventures, LG Technology Ventures, Benhamou Global Ventures, LDV Partners
Headquarters
Palo Alto, CA, USA
Platforms
Where you can use Fiddler AI today.
Web
API
Privacy Notes
Publicly stated data-handling notes that matter when evaluating Fiddler AI.
The security page says support staff are not allowed to access, download, or store customer data locally.
Fiddler says customer environments are separated from development and that customer data is never loaded into development.
The security page says in-transit traffic uses HTTPS/TLS 1.2 or higher and data at rest uses AES-256 encryption or higher.
Compliance
Public compliance or enterprise-governance signals we found for Fiddler AI.
SOC 2 Type II
HIPAA
GDPR
CCPA
Access
How to integrate or build around Fiddler AI.
Public API
Yes
Docs
Available
Alternatives
Other tools worth considering alongside Fiddler AI.
AI agent testing and LLM evaluation platform for observability, prompt management, simulations, and guardrails.
Open-source LLM engineering platform for tracing, prompt management, evaluations, and analytics.
AI observability and evaluation platform for tracing, scoring, and improving production AI applications.
Open-source AI observability and evaluation platform for tracing, prompt iteration, and experiments.
Product Snapshot
Fiddler AI is an enterprise AI observability and security platform for agentic and predictive systems. It combines monitoring, guardrails, evaluation, and governance in one product surface.
What You Can Do With It
- Monitor agentic and predictive systems with traces, dashboards, execution context, and decision lineage.
- Run guardrails that screen for hallucinations, toxicity, PII or PHI, prompt injection, and jailbreak attempts.
- Build and compare evaluations with custom metrics, datasets, experiments, RBAC, and SSO.
- Use the web product alongside Python, Evals, LangGraph, and Strands SDKs plus REST API tooling.
Why It Stands Out
It combines observability, safety controls, and governance in a single enterprise control plane, with deployment options that include SaaS, VPC, and on-premise environments.
Tradeoffs To Know
- Developer pricing is usage-based and Enterprise is sales-led, so buying and cost planning are enterprise-oriented.
- The product is designed around governance and monitoring workflows rather than a lightweight consumer assistant.
- The SDK and agentic surfaces are broad, which means implementation work is still required instead of a simple chat-only setup.