Free / Open-sourceUnified observability, security and incident response for cloud-scale engineering teams
Free / Open-sourceUnified observability, security and incident response for cloud-scale engineering teams
Fiddler AI records 44,204 monthly visits with -10.2% month-over-month growth and Contact for Pricing pricing. VERN AI records 509 monthly visits with -75.9% growth and Contact for Pricing pricing.

The control layer for conversational and agentic AI
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | fiddler.ai | vernai.com |
| Pricing Model | Contact for Pricing | Contact for Pricing |
| Monthly Visits | 44.2K (44,204) | 509 (509) |
| MoM Traffic Delta | -5.04K (-10.2%) | -1.61K (-75.9%) |
| Primary Market & Share | 🇺🇸 United States (28.4%) | 🇺🇸 United States (100%) |
| Direct Visits / mo | 9.13K | 200 |
| User Rating | 4.4 | 4.2 |
| Supported Platforms | Website | Website |

The control plane for trusted enterprise agents and models
See the performance of every agent and predictive model in a single pane of glass, with every action, token and dollar traceable by user and team.
Fiddler Centor Models power policy enforcement and continuous evaluation inside your network, avoiding external LLM API calls and their hidden costs.
Detects and redacts PII, PHI and secrets on the same request path — before a prompt reaches the model and before a response reaches the developer — with sub-80ms latency.
Keeps a living inventory of every connected agent and records each enforcement decision, with who triggered it and what happened, ready for GRC and AI regulation audits.

The control layer for conversational and agentic AI
Define the policies an AI must follow and have them enforced at runtime rather than hoped for in a prompt.
Detect frustration, hesitation, risk and changing intent so an agent adapts instead of replying on autopilot.
Constrain which tools and actions an autonomous agent may take, and when it must escalate instead.
Record which policy governed each interaction, why an action was allowed, and what triggered an intervention.
Free / Open-sourceUnified observability, security and incident response for cloud-scale engineering teams
Free / Open-sourceUnified observability, security and incident response for cloud-scale engineering teams

Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI

Attack-led AI security testing and red teaming
Attack-led AI security testing and red teaming

Enterprise agentic AI platform for service, workforce and process automation

Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents
Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents

Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
Free / Open-sourceEvaluate, monitor, and govern your AI applications in production

Free / Open-sourceStandardize LLM evaluation, observability, and red teaming across your whole org
Free / Open-sourceStandardize LLM evaluation, observability, and red teaming across your whole org

Enterprise AI agent platform for building and running business agents
Enterprise AI agent platform for building and running business agents

AI-powered cloud DLP and security awareness training for SaaS environments
AI-powered cloud DLP and security awareness training for SaaS environments

Decision infrastructure for governed enterprise AI agents
Decision infrastructure for governed enterprise AI agents
Free / Open-sourceAI governance, testing, and observability for regulated enterprises
Free / Open-sourceAI governance, testing, and observability for regulated enterprises
Free / Open-sourceFull-stack observability with an AI SRE agent that fixes issues
Free / Open-sourceFull-stack observability with an AI SRE agent that fixes issues