What have we built/Minerva
Flagship product
Minerva
The Intelligent Connector Platform. Connect your systems once, then put AI to work across them, with a human always in control.
The Intelligent Connector Platform. Connect your systems once, then put AI to work across them, with a human always in control.
Most organisations don’t lack data or tools. They lack a way to connect them. Minerva is an intelligent connector platform that links your systems, documents and teams, and lets AI work across all of them safely.
At its heart, the ReadyScan Engine translates any source system into one common data model. Connect a system once and every tool built on Minerva can use it, so each new capability reuses the same connectors instead of starting from scratch.
Connectors, authenticators and transformers that plug into the tools you already run, such as ServiceNow, Dynatrace, Jira, Ansible and Grafana.
Scans and assesses your estate, scores its maturity and recommends a roadmap, with stakeholder sign-off at every stage. It powers App Modernisation, 6R and SRE for You.
Turns documents, drawings and flowcharts into cited, checkable answers. It powers SourceLens, FlowLens and CADLens.
Agents that detect, diagnose and draft, with human approval before anything changes. It powers Sleuth and what comes next.
Reads PDFs, Word, Excel, PowerPoint and scanned images, including diagrams and handwriting. Every answer carries citations that open the exact source page.
Where it fits: licensing and registration offices, land revenue departments, municipal bodies.
Turns a static flowchart into a guided, step-by-step conversation, and jumps to the next flowchart when a process hands off.
Where it fits: citizen service centres, grievance helpdesks, plant maintenance SOPs.
Reads 2D CAD drawings (DXF, and DWG through automatic conversion) and answers dimension and tolerance questions from the drawing’s own data, never estimated.
Where it fits: manufacturing units, engineering departments, component makers.
Matches incident evidence against your own runbooks and history, then drafts a cited root-cause analysis with an honest confidence level. The engineer stays in control.
Where it fits: high-transaction teams with heavy middleware and database estates.
Deploy inside your own tenant, private cloud or on-premises, and bring your own AI-provider key. The same container image runs in test and production.
People approve changes before they are applied. Autonomy is earned through a track record, never assumed on day one.
Answers cite the exact page, drawing sheet or runbook they came from, so your teams can verify them at a glance.
Get in touch and we’ll show you where it fits in your organisation.
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