Fiddler provides an AI Observability platform that enables enterprises to monitor and analyze machine learning models and generative AI applications, ensuring performance, security, and compliance. By offering actionable insights into model behavior and governance, Fiddler helps organizations mitigate risks associated with deploying AI at scale.
Funding
$64.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Enterprises deploying machine learning (ML) models and generative AI applications face challenges in monitoring model performance, ensuring security, and maintaining compliance. Lack of visibility into model behavior can lead to performance degradation, security vulnerabilities, and regulatory issues, hindering the ability to scale AI deployments responsibly.
Solution
Fiddler provides an AI Observability platform that enables organizations to monitor, analyze, and govern their ML models and generative AI applications. The platform offers actionable insights into model behavior, allowing data science, engineering, and line-of-business teams to improve key performance indicators (KPIs) such as cost control, revenue impact, and time to resolution. By providing tools for root cause analysis, explainable AI, and audit evidence, Fiddler helps enterprises build trust in AI, reduce costs, and ensure responsible AI practices. The platform supports both LLM and ML observability, offering a unified solution for monitoring and managing AI deployments across various use cases.
Target Audience
Fiddler's primary customers are enterprises and government organizations deploying ML models and generative AI applications who require a comprehensive AI observability platform to ensure performance, security, and compliance.
Features
- Unified platform for LLM and ML observability
- Fiddler Trust Service for performance monitoring and issue detection
- Integration with NVIDIA NeMo Guardrails for AI safety
- Contextual model analytics for deep root cause analysis
- Customizable dashboards and reports for governance, risk management, and compliance (GRC) standards
- Support for SaaS and VPC environments, including AWS GovCloud
- Actionable insights into hallucination, PII, and toxicity metrics