Core components

The fixed core,
in every deployment.

These components are included with Ops Singularity whichever pillars you switch on. Nothing here is a separate purchase or an add-on. They are orchestrated by Sentinel AI, the intelligence core.

Execution
ProcBot

The execution engine. ProcBot runs the procedures that resolve incidents, so a decision becomes an action without a human copy-pasting commands, and every action stays governed and reversible.

  • Versioned MOP (Method of Procedure) library
  • Every run through an approved, reversible Action Ticket
  • Autonomous or approval-gated: Ansible, shell, ITSM workflows
Validation
Sherlock

The validation engine. Sherlock confirms an incident is genuinely fixed rather than merely quiet, closes the root-cause loop, and makes sure the same failure does not come back.

  • Post-fix validation before an incident is marked resolved
  • MOP effectiveness scoring feeds back to Sentinel
  • Recurrence detection catches repeats early
Connectivity
Integration Connectors

The connectivity layer. Integration Connectors brings signals in from the tools you already run and carries governed actions back out, so Ops Singularity works with your stack instead of replacing it.

  • 2,000+ governed connectors across your systems
  • Change-data-capture ingestion for live signals
  • Bi-directional: signals in, approved actions out
Data governance
Data Governance Fabric

The data control layer. It curates and anonymises data before it reaches any model, and governs it end to end, so intelligence runs on clean, compliant data you can account for.

  • Curation and anonymisation before any model sees data
  • End-to-end data lineage
  • Policy-governed access, aligned to your controls
Deterministic rules
Alerts & Rule Engine

The deterministic layer. Where an outcome must be exact, or a regulator expects it, rules run instead of inference, so the known and the regulated are handled with certainty.

  • Deterministic rule evaluation for known conditions
  • Threshold and pattern alerting
  • Guardrails on regulated paths, no guesswork
Data ingestion
Data Ingestion & Transformation

The ingestion layer. It pulls data in at big-data scale, batch, streaming and change-data-capture, and shapes it before it reaches the platform, so intelligence runs on data that is ready to use.

  • Batch, streaming and change-data-capture ingestion
  • Transformation and enrichment at big-data scale
  • Pipeline-ready data delivered to the platform

One platform. Everything in.

The core components come with every deployment. You choose which of the nine Ops Pillars to switch on.