Founding customers
Why wait for the board meeting to know what's wrong?
Nuromi is built on a platform running a real multi-state service operation today, across education, property, energy, and government construction. Connect the systems your service business already runs, and let an AI brain watch every department, every day, so nobody has to wait for a meeting to find out what needs attention.
The old way
Most businesses only see the full picture a few times a year
A board pack, a monthly report, a meeting someone spent a week preparing for. By the time the numbers reach anyone, they are already weeks old. Power BI and Tableau do not fix this. They give you a blank canvas and a query language. Someone still has to know what to build, what a warning sign looks like, and the discipline to keep it current.
The Nuromi way
A brain that is always watching, not a report you wait for
Connect, don't configure
Point Nuromi at the systems already in use, accounting, CRM, job or roster software, compliance platforms, spreadsheets, and it builds the picture itself.
Every corner of the business, every day
The sections Nuromi builds from your data update continuously, so nobody waits for a board meeting to know how the business is actually doing.
It watches, so you don't have to
An AI layer reads across every connected system and flags what matters the moment it happens, a margin slipping, a certificate about to lapse, a customer going quiet.
You approve, it doesn't just report
It can draft the follow-up, the email, the report, the reminder. Nothing sends without approval.
Already proven, not just promised
Live, in production, across genuinely different industries
Same idea in every one of them: connect what is already running, and surface what matters without anyone building a dashboard by hand. Nuromi is that proven approach, made available to service businesses, not just ones large enough to commission bespoke software.
Security & trust
Built to hold up at the top end, too
Data minimisation by architecture, not policy
Structured data is aggregated on our servers first, so the AI sees totals, counts, and trends, never your row-level records. Documents you upload are read once to extract their figures. Every AI model call requests zero data retention, and the model hosts we use do not train on your data. PDF text extraction (Mistral AI) is outside that request.
Tenant isolation
Row-Level Security in the database, plus queries made on your behalf filtered to your workspace in code.
Australian data residency
TLS 1.3 in transit, AES-256 at rest.
Activity visibility
Sign-ins and page activity are recorded and visible on your own Activity page. Logging every settings and connector change as one trail is in progress.