Unified observability, security and incident response for cloud-scale engineering teams
Unified 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. HawkFlow.ai records 0 monthly visits with 0% growth and Freemium pricing.

MLOps monitoring that fits into your development workflow
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | fiddler.ai | hawkflow.ai |
| Pricing Model | Contact for Pricing | Freemium |
| Monthly Visits | 44.2K (44,204) | 0 (0) |
| MoM Traffic Delta | -5.04K (-10.2%) | 0 (0%) |
| Primary Market & Share | 🇺🇸 United States (28.4%) | 🌐 Global (—) |
| Direct Visits / mo | 9.13K | 0 |
| User Rating | 4.4 | 3.2 |
| 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.

MLOps monitoring that fits into your development workflow
Track ML performance, prediction quality and drift signals so degraded models are noticed before stakeholders do.
Watch the code paths that produce your results and get alerted when jobs fail, throw exceptions or behave unexpectedly.
Check incoming data for schema changes, missing values and distribution shifts that would silently corrupt downstream results.
Keep business dashboards trustworthy by alerting when the underlying metrics stop updating or move outside expected ranges.
Unified observability, security and incident response for cloud-scale engineering teams
Unified 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

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

AI-powered cloud DLP and security awareness training for SaaS environments
AI-powered cloud DLP and security awareness training for SaaS environments
Free / Open-sourceAI governance, testing, and observability for regulated enterprises
Free / Open-sourceAI governance, testing, and observability for regulated enterprises

Find and fix problems in your AI agents before users do
Find and fix problems in your AI agents before users do
Full-stack observability with an AI SRE agent that fixes issues
Full-stack observability with an AI SRE agent that fixes issues

SpecialistData observability that catches silent data quality issues before they spread
SpecialistData observability that catches silent data quality issues before they spread