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Production systems delivered in enterprise environments.

Each of these describes a system that runs today: the organization and the problem, the constraints that shaped the design, what was built, how it was delivered, and what changed as a result. Client names are withheld; sectors and figures are not.

Case studies

Education
In production

Consolidating a 3 TB content estate into OpenText Content Server

More than a million files and folders had accumulated across five separate repositories, each with its own storage model and idea of what a version is. All of it had to reach OpenText with structure, history and metadata intact — and a migration of that length will be interrupted.

Spring BootReactPostgreSQLOpenText
3 TB
across 1M+ files, without loss or duplication
Energy & mining
In production

Biometric attendance into SAP for 3,000 employees across five sites

Payroll depended on four scheduled jobs owned by a vendor the business had decided to retire. When those servers were decommissioned, attendance would have stopped reaching SAP at every site, silently, and nobody would have known until payroll noticed.

KotlinSpring BootSAP ODataSQLite
3,000+
employees across five sites, unattended
Manufacturing
In production

187 enterprise forms compiled out of a vendor platform into React

Hundreds of business-critical forms were locked inside an aging, proprietary ERP forms platform. The client's own developers estimated two days to rebuild each one by hand, which made the estate a project nobody would fund.

TypeScriptReactMUITanStack Query
faster than hand-migration, across 187 forms
IT & product
Internal pilot

avocadoctor — a support agent that runs on your own hardware

An agent that reads a support ticket and its evidence bundle, investigates across every layer of a virtual-desktop stack, and posts a drafted diagnosis with the evidence behind every claim. The language model runs on-premises, and the agent refuses to commit an answer it cannot ground in stored evidence.

PythonTemporalpgvector + AGEOn-device LLM
100%
on-premises, the language model included

Have a system like one of these?

A migration that cannot lose a record, an integration nobody owns, a platform you need to get off, or an AI use case where the data cannot leave your network. Describe it and we will respond with a practical next step.

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