Fiddler AI

What Fiddler AI does

Fiddler is the all-in-one AI Observability and Security platform for responsible AI. Its monitoring and analytics capabilities provide visibility, context, and control across development and production, offering actionable insights to build better, more reliable AI agents, and GenAI and ML applications. The Fiddler Trust Service, an integral part of the platform, provides quality and moderation controls for AI agents and GenAI applications. Powered by cost-effective, task-specific, and scalable Fiddler-developed trust models, including cloud and VPC deployments for secure environments, it delivers fast guardrails. Fiddler helps Fortune 500 organizations scale AI agents, GenAI, and ML deployments, ensuring high-performance AI, avoiding costly AI risks, and maximizing ROI. The platform offers continuous monitoring and auditable governance for compound AI, unlike passive evaluation and open-source systems. It also provides enterprise oversight and compliance for agents and predictive applications, helping meet evolving regulatory requirements.

Products

• Fiddler AI Control PlaneAn all-in-one AI Observability and Security platform for enterprise agents, providing experiments, monitoring, guardrails, and governance for compound AI. It offers complete visibility across the agentic hierarchy, tracks agentic applications across the lifecycle, and provides insights into agent behaviors with full execution context and decision lineage. It also governs AI systems by enforcing policies with guardrails and manages TCO with Fiddler Centor Models.
• Fiddler Trust ServiceProvides quality and moderation controls for AI agents and GenAI applications, powered by cost-effective, task-specific, and scalable Fiddler-developed trust models, including cloud and VPC deployments for secure environments. It delivers fast guardrails in the industry.
• Fiddler GuardrailsThe industry's fastest policy enforcement layer for agentic AI. It defines safety, security, and compliance policies that govern agents and enforces them at runtime in under 80ms, powered by purpose-built, fine-tuned, and task-specific Fiddler Centor Models. It evaluates every prompt and response against thresholds for hallucinations, jailbreaks, PII exposure, and unsafe content, intercepting them before they reach the user or downstream system. It also ensures data privacy by running entirely in the user's cloud and VPC environments.
• Fiddler Centor ModelsPurpose-built models that evaluate agent and LLM inputs and outputs in real-time, running entirely in the user's cloud and VPC environments. These 'batteries-included' models remove unpredictable, hidden costs of external API calls for agent and LLM evaluation. They include Safety, PII, and Faithfulness models to power Guardrails, LLM Observability, and Agentic Observability.
• Agentic ObservabilityMonitors AI agents and multi-step workflows, providing visibility from the session to the AI agent, trace, and span. It helps understand how agents reason and coordinate, resolve customer issues faster, and stop failures from repeating. It also tracks 100+ out-of-the-box and custom metrics including hallucination, toxicity, PII/PHI leakage, and jailbreak attempts.
• LLM ObservabilityMonitors LLM applications in production, including tracking performance, drift, data integrity, and model bias. It helps identify and mitigate risks such as clinical 'hallucinations', PII/PHI leaks, and jailbreak attempts.
• ML ObservabilityMonitors traditional ML models, providing deep root cause analysis to track performance, drift, data integrity, or model bias. It helps ensure fairness and reliability in predictive models and provides early warnings to intervene before care is impacted.
• Fiddler AuditorEvaluates the robustness of LLMs and NLP models.
• Fiddler Report GeneratorGenerates reports for AI Risk and Governance.
• Fiddler LLM Enrichments FrameworkUsed for LLM Monitoring.
• Bias DetectorA methodology to assess machine learning fairness.
• Explainable AI (XAI)Provides insights into AI reasoning and behavior, enabling teams to understand and trust the systems they deploy. It helps explain predictions in ML models powering autonomous vehicles and identifies anomalies.
• Slice and Explain™Automated insights for AI models.

Key capabilities

• Real-time guardrails to detect harmful exposure
• Protects against hallucinations, toxicity, PII/PHI, prompt injection, and jailbreak attempts
• Latency of <80ms for guardrails
• Powered by contextual and task-specific Fiddler Centor Models
• Unified AI observability for agentic and predictive systems
• Custom evaluators and bring your own judge
• Visualization-driven insights
• Role-based access control and SSO
• SaaS, VPC, or on-premise deployment options
• Enterprise-grade infrastructure scalability
• White glove support with dedicated communication channels
• Named Customer Success Manager and customized onboarding
• Continuous monitoring and auditable governance
• Complete visibility across the agentic hierarchy
• Root cause analysis with full execution context and decision lineage
• Policy enforcement with guardrails
• Inline enforcement at the agent's request and response path
• Agentic fleet intelligence across every developer, token, and dollar
• Real-time alerts on potential threats
• Image explainability for autonomous vehicles
• Model monitoring for sensor data
• NLP and CV monitoring for intelligence and surveillance
• Zero data egress from the customer's environment
• Content safety policies
• Security policies to intercept prompt injection attacks
• Privacy and compliance policies to prevent PII and PHI leaks
• Accuracy policies to ensure responses are grounded in context
• Customizable dashboards and reports
• Automated alerting
• Comprehensive audit trails
• Model risk management (MRM) framework support
• Human-in-the-loop approvals
• Bias detection and mitigation
• Platform-agnostic observability
• SOC 2 Type II certified
• HIPAA compliant
• Encryption for data in transit and at rest
• Secure deployment options including AWS GovCloud and air-gapped deployments
• Edge support for AI Observability

Use cases

• Building better, more reliable AI agents, GenAI, and ML applications
• Scaling AI agents, GenAI, and ML deployments
• Delivering high-performance AI
• Avoiding costly AI risks
• Maximizing ROI from AI investments
• Continuous monitoring and auditable governance for compound AI
• Experiments and testing for LLM outputs
• Protecting AI applications with guardrails
• Monitoring LLM applications in production
• Monitoring traditional ML models
• Strengthening national security with AI for government solutions
• Explaining why sonar plane images are misclassified as ships
• Image explainability for autonomous vehicles (aerial drones, unmanned underwater vehicles)
• Monitoring unstructured models to detect sensor data drift and identify outliers
• Improving target precision with high-performance model monitoring across battlefield environments
• NLP and CV monitoring for intelligence and surveillance to track changes in traffic, signals, and communication patterns
• Deploying ML and LLM models safely and reliably at scale for the Department of Defense
• Real-time policy enforcement for agentic AI
• Detecting and preventing hallucinations, toxicity, PII/PHI, prompt injection, and jailbreak attempts
• Ensuring responses are grounded in provided context to prevent misleading information
• Streamlining MLOps and LLMOps to accelerate the production of AI applications
• Monitoring and analyzing LLM hallucinations, safety, and PII
• Finding the root cause of model issues with actionable insights
• Generating comprehensive audit trails for AI governance and regulatory review requirements (GDPR, HIPAA, NAIC, SR 11-7)
• Proactively assessing and mitigating risks to prevent negative impacts on end-users and the enterprise
• Building a robust model risk management (MRM) framework
• Enforcing ethical AI practices and preventing bias and unfair outcomes
• Monitoring, improving, protecting, and analyzing agentic systems, LLM applications, and ML models
• Building and deploying agentic experiences for customer service
• Operationalizing trust for production multi-agent AI copilots
• Reducing ML model update time for defense applications
• Ensuring superior model performance, compliance with industry standards, and better communication across stakeholders for ad tech
• Scaling trustworthy AI across underwriting, claims, and service in insurance
• Deploying accurate, trustworthy, and safe AI applications that improve patient outcomes in healthcare
• Mitigating risk with real-time PHI/PII guardrails in healthcare
• Slashing compliance costs and overhead in healthcare
• Increasing innovation velocity in AI initiatives for healthcare
• Monitoring and guardrailing LLM healthcare applications
• Ensuring fairness and reliability in predictive models for healthcare
• Mitigating financial and brand risk in insurance with guardrails
• Operationalizing NAIC-aligned AI governance at scale for insurance
• Safeguarding LLMs from hallucinations and PII leaks in insurance
• Ensuring fairness and reliability in predictive models for insurance

AI approach

Fiddler AI provides an AI Observability and Security platform, acting as an "AI Control Plane" for enterprise agents, GenAI, and ML applications. They offer monitoring, guardrails, and governance capabilities, with a focus on responsible AI. Their proprietary Fiddler Centor Models (formerly Trust Models) are task-specific and scalable, used for real-time policy enforcement against issues like hallucinations, toxicity, PII/PHI leaks, and prompt injection. They also provide observability for traditional ML models and LLMs, including root cause analysis and bias detection.

Tech named: Machine Learning, MLOps, ML Monitoring, Artificial Intelligence, Deep Learning, NLP, Data Science, Responsible AI, LLMOps, LLMs, LLM Observability, AI Observability, GenAI, Agentic Observability, Agents, Fiddler Centor Models, Fiddler Trust Service, Fiddler Guardrails, Explainable AI, Bias Detector, Slice and Explain, Fiddler Auditor

Industries served

• Software Development
• Government
• Defense
• Healthcare
• Insurance
• Financial Services
• Consumer Lending
• Gig Marketplace
• Ad Tech
• Media and Consumer Research
• Travel

What it says sets it apart

• All-in-one AI Observability and Security platform
• Unified observability at enterprise scale
• Only inline enforcement at the agent's request and response path
• Guaranteed safe outcomes: models only process approved inputs, developers only receive approved outputs
• One control plane through existing gateways
• Continuous monitoring and auditable governance unlike passive evaluation and open source systems
• Industry's fastest policy enforcement layer for agentic AI (<80ms latency)
• Powered by purpose-built, fine-tuned, and task-specific Fiddler Centor Models
• Zero data egress from the customer's environment for guardrails
• Fiddler Centor Models run entirely in customer's cloud and VPC environments, removing unpredictable, hidden costs of external API calls
• Comprehensive audit trails for complete accountability across every decision, action, evaluation, and policy outcome
• Ability to customize monitoring to specific model type, data volume, and desired insights
• Unified, standardized view of rich model insights and metrics for improved team collaboration and audits
• Platform-agnostic observability
• SOC 2 Type II certified and HIPAA compliant
• Secure deployment options including AWS GovCloud and air-gapped deployments
• Petabyte-scale for government agencies
• Edge support for AI Observability
• Reduces deployment timelines from months to days
• Reduces compliance engineering effort by around 70% and audit preparation time by over 80%
• Provides deep root cause analysis for model issues
• Offers flexible charts and dashboards for model performance
• Integrations with major cloud providers and MLOps platforms (AWS, Google Cloud, NVIDIA, Databricks, Domino, DataStax, Datadog)

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.