Eight products.
One platform.

Closed-loop discovery. CMDB you can trust.

Most CMDB discovery runs once, produces a snapshot, and immediately begins to drift. Agent-only tooling leaves cloud-native, ephemeral, and air-gapped assets permanently invisible. After 90 days, nobody trusts the data.

Health scoring for every CI in your CMDB.

Technical debt is invisible until it becomes a P1 incident. CMDB data ages. Risk accumulates silently. Teams have no systematic way to score the health of their environment or prioritise remediation before something breaks.

Service maps built from what you discovered — not what you drew.

Service maps are created during implementation and never maintained. They become architecture diagrams rather than operational truth. When an incident occurs, nobody knows the actual blast radius.

Hardware and software asset lifecycle — grounded in what was actually discovered.

Asset registers built from spreadsheets and manual entries decay the moment they are created. HAM and SAM programmes fail not because the process is wrong but because the underlying data is never trusted. If you don't know what you have, you can't manage its lifecycle.

Competing hypotheses. Falsified root cause. No guessing.

Traditional incident response is driven by whoever shouts loudest, escalates fastest, or has the most senior title in the war room. Root cause is guessed at, not determined. The same incidents recur.

Solution design validated against what your environment actually is.

Enterprise architecture programmes fail because the maps they work from are wrong. CSDM compliance gaps go undetected until audit. Tech debt roadmaps are built from opinions rather than measured data. Architecture cannot be governed without a trusted source of truth underneath it.

Compliance, governance, and audit fabric for regulated environments.

Regulated enterprises face audits on systems their CMDB cannot reliably describe. Evidence collection is manual, inconsistent, and out of date the moment it is gathered. Compliance posture cannot be maintained against a moving environment without a fabric that tracks every change.

Executive intelligence that knows who is asking.

Executives receive the same raw operational data as engineers and are expected to make high-stakes decisions from it. The information is not calibrated to their authority, risk tolerance, or decision context. They either get too much or too little.