Fiddler AI vs ModelOp
Side-by-side comparison of framework coverage, pricing, capabilities, and target customers. Last checked May 2026.
https://aicompliancevendors.com/compare/fiddler-ai-vs-modelopFiddler AI
Observability, evaluation and guardrails for predictive models and LLM agents, with guardrails that run inside your own cloud
Fiddler AI is an observability, evaluation and guardrails platform that now calls itself "the control plane for enterprise AI agents." It was founded in October 2018 by Krishna Gade (CEO), formerly an engineering manager at Facebook, and Amit Paka (COO), and is based in Palo Alto, California. It has raised $100 million; its latest round was a $30 million Series C led by RPS Ventures in January 2026, with Lightspeed Venture Partners, Lux Capital and Insight Partners among the existing investors taking part. Fiddler says its revenue grew more than fourfold in the 18 months before that round. Customers shown on its site include Nielsen, Integral Ad Science, Qualtrics, Thumbtack, LendingPoint, American Family Insurance and the US Department of Energy. The platform covers two kinds of AI. For predictive models, ML Observability tracks performance, drift and data integrity with root-cause analysis, gives global and local explanations, and runs fairness checks such as disparate impact, equal opportunity and demographic parity on structured, text and image models. For LLM applications and agents, it ingests OpenTelemetry traces (with integrations for LangGraph, LangChain, Strands Agents, Google ADK, Claude Code and LiteLLM), scores them with 80+ built-in metrics, custom evaluators or your own LLM judge, and runs experiments against golden datasets. Its Guardrails, powered by Fiddler's own Centor models, screen prompts and responses for hallucinations (faithfulness), toxicity, jailbreaks, prompt injection and 35+ types of PII and PHI. Fiddler says enforcement takes under 80 ms and runs inside the customer's cloud or VPC with no data leaving it. Deployment options are SaaS, VPC, AWS GovCloud and on-premises. **AI compliance coverage** Fiddler's governance features are audit trails that record every decision, action, evaluation and policy outcome, plus executive dashboards. Its governance page names SR 11-7, HIPAA and NAIC, and lists the EU AI Act among relevant policies; its Control Plane FAQ says its audit trails support the NIST AI RMF, ISO/IEC 42001, HIPAA, SR 11-7, NAIC and the EU AI Act. It doesn't publish control mappings, templates or a model inventory for any of them. Fiddler says it has a SOC 2 Type II report and is HIPAA compliant. In 2023 it released Fiddler Auditor, a free LLM red-teaming and robustness library under the Elastic License 2.0, but its last release was in November 2023 and red-teaming isn't part of the current platform. **Who it's for** Enterprises in financial services, insurance, healthcare and government that run predictive models and LLM agents in production and want monitoring, evaluation and runtime guardrails in one place, often inside their own cloud. It is an observability and enforcement layer, not a governance workflow tool: teams that need AI inventories, risk assessments and policy workflows will need a governance platform alongside it.
ModelOp
Enterprise AI lifecycle management and governance platform
ModelOp provides a centralized platform for managing the full AI lifecycle, from intake to retirement, for ML, GenAI, Agentic AI, and vendor models. It offers a single system of record for AI inventory, automates policy enforcement and workflows, enables continuous monitoring for risks like bias and drift, and generates audit-ready reports. Targeted at complex regulated enterprises, it integrates with existing systems to accelerate AI deployment while ensuring compliance and control across teams. Distinct from MLOps tools or GRC systems, ModelOp orchestrates governance end-to-end, supporting internal and third-party AI at scale.
What the data shows
We haven't published an editorial verdict on this pair yet. The comparison below is built from public vendor materials and our taxonomy — no editorialized ranking.
- Shared framework coverage: EU AI Act, ISO/IEC 42001, NIST AI RMF
- Only Fiddler AI covers: HIPAA, SOC 2
- Shared capabilities: 3 of 17 listed.
Want our editorial take? Email the editors or read our methodology.
At a glance
| Attribute | Fiddler AI | ModelOp |
|---|---|---|
| Founded | 2018 | 2018 |
| Headquarters | Palo Alto, United States | Chicago, United States |
| Employees | Undisclosed | 11-50 |
| Funding | $100M total; latest round a $30M Series C led by RPS Ventures (January 2026) | Series B, $10M, 2024, led by Baird Capital |
| Pricing | Three plans: Free (real-time guardrails for hallucinations, toxicity, PII/PHI, prompt injection and jailbreaks, powered by Fiddler's Centor models); Developer at $0.002 per trace (adds unified observability with tests and experiments for agentic and predictive systems, custom evaluators and bring-your-own judge, role-based access control and SSO; SaaS only); and Enterprise, priced by sales (adds enterprise-grade guardrails and scale, SaaS, VPC or on-premises deployment, and a named customer success manager). The pricing page lists no trace or user limits. | No public pricing listed; contact sales for enterprise quotes. |
| Website | Visit site | Visit site |
Framework coverage
| Framework | Fiddler AI | ModelOp |
|---|---|---|
| EU AI Act | limited | Full |
| HIPAA | Partial | — |
| ISO/IEC 42001 | Adjacent | Full |
| NIST AI RMF | Adjacent | Full |
| SOC 2 | Certified | — |
Capabilities
| Capability | Fiddler AI | ModelOp |
|---|---|---|
| AI Model Inventory | — | ✓ |
| Agent Tracing | ✓ | — |
| Audit Evidence Collection | — | ✓ |
| Audit Logging | ✓ | — |
| Bias & Fairness Testing | ✓ | ✓ |
| Data Leakage Prevention | ✓ | — |
| Drift Detection | ✓ | — |
| Explainability | ✓ | ✓ |
| Hallucination Detection | ✓ | — |
| LLM Evaluation | ✓ | — |
| LLM Guardrails | ✓ | — |
| LLM Observability | ✓ | — |
| Model Monitoring | ✓ | ✓ |
| Policy Enforcement | ✓ | — |
| Policy Management | — | ✓ |
| Prompt Injection Defense | ✓ | — |
| Risk Assessment Workflow | — | ✓ |
Industries served
Fiddler AI
- Financial Services
- Insurance
- Healthcare
- Government & Public Sector
ModelOp
- Financial Services
- Healthcare
- Insurance
- Government & Public Sector
- Retail & E-commerce
- Defense & National Security
Integrations
Fiddler AI
- AWS SageMaker
- Google Vertex AI
- Databricks
- Datadog
- NVIDIA
- Amazon Bedrock
- Azure OpenAI Service
- OpenAI API
- Anthropic API
- LangChain
- LiteLLM
- OpenTelemetry
- AWS GovCloud
ModelOp
- AWS SageMaker
- Azure ML
- Google Vertex AI
- Databricks
- Snowflake
- MLflow
- Jira
- ServiceNow
- OpenAI API
Frequently asked
What is the difference between Fiddler AI and ModelOp?+
Fiddler AI is Observability, evaluation and guardrails for predictive models and LLM agents, with guardrails that run inside your own cloud; ModelOp is Enterprise AI lifecycle management and governance platform. The full side-by-side covers framework coverage (3 shared, 2 unique to Fiddler AI, 0 unique to ModelOp), pricing model, and capability overlap.
How do Fiddler AI and ModelOp pricing compare?+
Fiddler AI: Three plans: Free (real-time guardrails for hallucinations, toxicity, PII/PHI, prompt injection and jailbreaks, powered by Fiddler's Centor models); Developer at $0.002 per trace (adds unified observability with tests and experiments for agentic and predictive systems, custom evaluators and bring-your-own judge, role-based access control and SSO; SaaS only); and Enterprise, priced by sales (adds enterprise-grade guardrails and scale, SaaS, VPC or on-premises deployment, and a named customer success manager). The pricing page lists no trace or user limits. ModelOp: No public pricing
Which AI compliance frameworks do Fiddler AI and ModelOp both support?+
Both vendors document support for EU AI Act, ISO/IEC 42001, NIST AI RMF. Coverage strength varies; see the framework matrix below.
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Editorial independence: This comparison is free and was not paid for by either vendor. See our methodology.