Fiddler AI provides an AI control plane for enterprise agents and predictive AI. Its software helps organizations test, monitor, protect, and govern AI systems across development and production, with a focus on observability, security, policy enforcement, and compliance. The company positions its platform as a system of record for the agentic lifecycle, bringing together telemetry, evaluation, monitoring, guardrails, and auditability in one environment.
Fiddler AI serves enterprises that need visibility into how AI applications behave, why outputs change, and where operational or compliance risk is emerging. Its platform supports generative AI, agentic AI, and traditional machine learning use cases, and it is designed for secure deployment in SaaS, VPC, on-premises, and air-gapped environments. The company’s current market focus centers on helping enterprises run high-performing, trustworthy AI at scale.
Offerings, Capabilities, and Integrations
Fiddler AI’s offerings span AI testing, runtime observability, security controls, and governance workflows. Core capabilities include standardized telemetry, pre-production evaluation, real-time and batch monitoring, root cause analysis, customizable metrics, alerting, policy enforcement, and audit evidence generation. Its in-environment trust scoring approach is designed to let enterprises evaluate quality, safety, privacy, and compliance signals without sending sensitive data to external model-scoring services.
Fiddler AI integrates with modern AI and data stacks through native SDKs, APIs, and connectors. Its ecosystem includes support for OpenTelemetry-based instrumentation, LangGraph and Strands agent workflows, Python and REST interfaces, data integrations such as Snowflake, BigQuery, Amazon S3, Kafka, and Airflow, and MLOps tooling including Databricks and MLflow. It also connects with operational systems such as Datadog, PagerDuty, Okta, Google Workspace, Amazon SageMaker AI, and Google Cloud environments including Vertex AI.
Products and Services
- The Control Plane for AI Agents: A system of record for the agentic lifecycle that combines telemetry, evaluation, monitoring, policy enforcement, and auditable governance for enterprise AI agents.
- AI Observability and Security Platform: Fiddler AI’s unified platform for evaluating, monitoring, analyzing, protecting, and governing agentic and predictive AI applications at enterprise scale.
- Fiddler Enterprise Agentic Observability: An observability offering for agentic AI that provides visibility across application, session, agent, trace, and span layers, with context for reasoning paths, tool calls, token usage, and system performance.
- Fiddler Trust Service: A trust-model layer that scores agent and LLM inputs and outputs in real time inside customer-controlled environments to support evaluations, monitoring, and guardrails.
- Fiddler Guardrails: A runtime protection service that detects and blocks harmful content, hallucinations, jailbreaks, prompt injections, and PII leakage in agentic and LLM applications.
- Fiddler for AI Governance, Risk Management, and Compliance (GRC): A governance offering that centralizes oversight, policy accountability, audit trails, and evidence generation for enterprise AI compliance programs.
- Responsible AI: A set of capabilities focused on fairness, explainability, bias detection, and internal governance processes for transparent and accountable AI deployment.
- ML Observability: Monitoring and diagnostics for predictive machine learning models, including drift detection, performance analysis, explainability, and operational insights.
- LLM Observability: Observability for large language model applications, covering prompt and response monitoring, hallucination detection, safety evaluation, embedding analysis, and response quality tracking.
- Fiddler Auditor: An open-source robustness library for pre-production red-teaming and evaluation of LLMs and NLP models for correctness, safety, privacy, and resilience.
Target Customers
Fiddler AI targets large enterprises and public sector organizations that are operationalizing AI agents, LLM applications, and predictive machine learning in production. Its platform is built for teams spanning data science, platform engineering, software engineering, security, trust and safety, model risk, compliance, and business leadership.
Fiddler AI is especially relevant for organizations in regulated or high-stakes environments where model transparency, auditability, and policy enforcement matter. Its customer and solutions footprint points to demand from financial services, insurance, healthcare, government, customer experience, and other enterprises that need to scale AI while controlling operational, reputational, and regulatory risk.
Cloud Integrations and Marketplace
- AWS Marketplace: Fiddler AI is available through AWS Marketplace, including procurement and deployment paths tied to its SageMaker Partner AI App offering.
- Google Cloud Marketplace: The Fiddler AI Observability Platform is available on Google Cloud Marketplace for organizations running AI workloads on Google Cloud.
- Amazon SageMaker AI: Fiddler AI has a native integration with Amazon SageMaker AI and is positioned as a partner offering for streamlined deployment, monitoring, and procurement in AWS environments.
- Google Cloud: Fiddler AI integrates with Google Cloud services, including Vertex AI and related Google Cloud AI and ML offerings, to support observability and responsible AI workflows.
Key People
- Krishna Gade: Founder and CEO
- Amit Paka: Founder and COO
- Kirti Dewan: Chief Marketing Officer
- Mainak Mazumdar: Chief Strategy Officer
- Fahad Rizqi: President of GTM
- Chris Lambert: VP of Engineering
- Alex Woodruff: VP of Sales
- Danny Brock: VP of Customer Success
- Launy Senee: VP of Finance and Operations
- Joshua Rubin: Head of AI Science
Key Facts
- Headquarters: Palo Alto, California, United States
- Employees: Approximately 100
- Annual Revenue: Undisclosed
- Parent Company: None
- Subsidiaries: Lumeus.ai
- Publicly Listed: Private
Analyst Recognitions
- Gartner: Market Guide for AI Evaluation and Observability Platforms (2026) – Named in report.
- Forrester: The Responsible AI Solutions Landscape, Q2 2026 – Included vendor.
- IDC: IDC ProductScape: Worldwide Generative AI Governance Platforms 2025 – Named in report.
