RootAlyze AI
Something broke. But why?
RootAlyze AI continuously watches the signals coming from your enterprise systems, catches unusual behaviour early and, when an incident starts, shows the likely root causes in order of importance.
Finding the root cause in layered systems takes time
When an application slows down, the cause may sit in the network, a server, the virtualisation layer, a load balancer or the database. While teams hop between dashboards, the outage drags on. RootAlyze AI reads these layers together and tells you where to look first.
How it works
- 1
Collect
Logs, metrics and traces from network, servers, virtualisation, load balancers, databases and applications are collected in a standard format.
- 2
Score
Anomaly scores from time series, combined into a single per-application risk score.
- 3
Rank root causes
Lagged-relationship analysis with statistical confidence prioritises the likely root cause candidates.
- 4
Notify
Results appear on dashboards and reach the operations team as alert-ready metrics.
What it gives your operations team
Risk in a single indicator
Multi-layer metrics are combined, with manageable weights, into one risk score per application.
Hints for "which component?"
Entity-level hints take you straight to the affected server, virtual machine or pool member.
Evidence of user impact
Trace and log indicators confirm whether an infrastructure signal actually reaches users.
Fully on-premise
Built on open-source components, with an architecture where data never leaves your organisation.
RTLYZ01: from R&D to product
RootAlyze AI is the product of RTLYZ01, our R&D project on AI-driven root cause monitoring and analysis. The project was completed successfully at MVP level.
What the project delivered
- An on-premise observability and analysis environment
- Regular risk scores and root cause candidates in a real pilot environment
- Trace and log indicators that tie infrastructure signals to user impact
- Dashboards and drill-down flows used by operations teams
Roadmap (targets)
- Forward-looking risk forecasts with predictive models
- Advanced causal analysis that explains intervention scenarios
- Ticketing (ITSM) and two-way integration with existing monitoring
- Multi-site management and installation automation
Focus areas
Let's look at your systems together
Write to us about a pilot or an installation.