Anomify records 1,629 monthly visits with -62% month-over-month growth and Freemium pricing. Fleak records 3,778 monthly visits with -24.4% growth and Freemium, Contact for Pricing pricing.
Early-warning AI for critical infrastructure monitoring
Self-healing security data pipelines that cut SIEM cost
| Dimension / Metric | | |
|---|---|---|
| Official Domain | anomify.ai | fleak.ai |
| Pricing Model | Freemium | Freemium, Contact for Pricing |
| Monthly Visits | 1.63K (1,629) | 3.78K (3,778) |
| MoM Traffic Delta | -2.65K (-62%) | -1.22K (-24.4%) |
| Primary Market & Share | 🇩🇪 Germany (39.1%) | 🇺🇸 United States (86.2%) |
| Direct Visits / mo | 649 | 1.5K |
| User Rating | 4.1 | 4.2 |
| Supported Platforms | Website | Website |
Early-warning AI for critical infrastructure monitoring
Every data point is evaluated by lightweight statistical models in real time, then refined by pattern-based filtering and a supervised learning stage.
Domain knowledge and learned feedback cut alert noise by 90%+ according to the vendor, so on-call engineers see events that matter.
The team builds domain-specific analysis pipelines for unusual data such as sonar, flow, overflow and ecommerce events.
Slack and email alerting on the free tier, with broader alert integrations and API access on higher plans.
Self-healing security data pipelines that cut SIEM cost
Fleak evaluates each event type against what every downstream tool needs, then sends real-time correlation to the SIEM, hunt data to the lake, compliance logs to the archive and noise nowhere.
When an upstream source changes its schema, Fleak detects the drift, generates corrected configuration and redeploys — the vendor cites an average heal time around three minutes.
Every source is normalized into a single schema on arrival, so 280 sources stop meaning 280 parsers and 280 detection variations.
Pipelines can be described in plain English and built automatically, with an MCP server and AI observability for agent sessions.
Unified observability, security and incident response for cloud-scale engineering teams
Unified observability, security and incident response for cloud-scale engineering teams
Automate work across thousands of apps — no code required
Build, share, and control AI agents that actually do the work
Build, share, and control AI agents that actually do the work
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
Deep packet inspection and network intelligence for full network visibility
Deep packet inspection and network intelligence for full network visibility
Free / Open-sourceOpen-source data integration engineered for AI agents and analytics
Free / Open-sourceOpen-source data integration engineered for AI agents and analytics
See your enterprise the way attackers do — observe, understand, signal, and respond at AI speed
See your enterprise the way attackers do — observe, understand, signal, and respond at AI speed
SpecialistNo-code connector that links your apps and automates routine work without developers
SpecialistNo-code connector that links your apps and automates routine work without developers
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Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
No-code AI web scraping that builds, runs, and repairs its own bots
No-code AI web scraping that builds, runs, and repairs its own bots
AI-powered cloud DLP and security awareness training for SaaS environments
AI-powered cloud DLP and security awareness training for SaaS environments
The control plane for trusted enterprise agents and models
The control plane for trusted enterprise agents and models
