NeurallEmpire is the enterprise low-code application platform for governed workflow automation. Teams build finance, procurement, HR, maintenance, service and compliance apps on one data model, one security model and one tamper-evident audit trail.
Approval chains held together by email, balances and registers kept in spreadsheets, spend that is only checked at month-end, audit questions about who can do what, and deadlines tracked from memory. Each becomes an application on the same data model, so fixing the second problem is faster than the first.
No. It is the platform underneath: data, rules, processes, ledgers, screens, security and audit as building blocks. Finance, procurement, HR, service and industry applications are configurations of those blocks, built by your team, by a partner or with us.
Yes, built for enterprise governance. Most of an application is configured in Studio, the browser-based designer: entities, rules, approval processes and screens. Hard cases use sandboxed TypeScript functions that run under the same permissions and audit.
Automation and AI are only safe in production on a governed system of record: clear permissions down to the row and field, human approval for consequential actions, and a tamper-evident trail of every change. NeurallEmpire gives you that foundation today, so whatever you automate next acts within rules your auditors can verify.
Each customer gets its own database. Scheduled backups and restore into a new tenant are built in, and bulk import and export in Excel and CSV come with the platform.
Builders work in drafts and publish immutable releases that are promoted through DEV, TEST and PROD, with roles versioned alongside. Builders can design apps without being able to read production data.
Yes. Partners use the same public SDK and package format we use for our own reference solutions. A package installs into any customer's tenant and upgrades without overwriting the customer's own changes.
Pick one painful process, often an approval chain held together by spreadsheets and email. We run a discovery workshop, pilot it in your own tenant, then go live and add the next app on the same data model.