Custom manufacturing softwaredevelopment and AI services.

Yes. That covers product design, software development, AI development, backend systems, integrations, cloud infrastructure, testing, and deployment. We also handle the parts teams tend to underestimate, including offline behaviour on the shop floor, role-based access, and the operational tooling needed to run the system across shifts.

Yes, and it rarely needs to happen all at once. We can rebuild specific workflows, redesign the interface, improve performance, migrate infrastructure, or replace the platform in stages. Incremental modernization is usually the right call, because production does not stop while a system is being replaced.

Yes. We work with ERP APIs, MES and SCADA connections, historian and time-series data, OPC UA and PLC feeds, and quality or LIMS systems. Most plant projects fail at this layer rather than at the model, so we confirm what each system actually exposes before committing to a design.

Often yes, through existing OPC and historian connectors into a data lake or warehouse. The real question is not age but signal: sampling rate, sensor coverage, and how failures were recorded historically. We assess that before committing to a prediction target rather than promising accuracy up front.

No. Most plants start with one critical asset class or a single inspection station where downtime or scrap is already measured, then widen the scope once the approach holds up. Waiting for a complete model of the plant before building anything is the most common reason these projects never start.

Thresholds are tuned with maintenance leads rather than set from model output alone, duplicate alerts are suppressed, and every alert carries the context needed to act on it. An alert that does not tell an operator what to do next is noise, and once people start ignoring alerts the system is worse than nothing.

Yes. Shop-floor software has different constraints from office software: gloves, glare, poor connectivity, and shift handovers. We design for tablets and fixed terminals with large touch targets, offline tolerance, and workflows that survive an interrupted shift.

You do. Ownership of the source code and associated intellectual property transfers to you, along with repositories, infrastructure configuration, and documentation. We do not retain licensing rights over what we build for you, and we do not resell client work as a product.

Yes. We can own a workstream end to end, extend an in-house team on specific parts of the build, or take responsibility for a subsystem such as the data pipeline or the operator interface. Where a controls team owns the plant floor, we work to their boundaries rather than around them.

A short call to understand the workflow, the assets and systems involved, and what is driving the project. From there we move into a discovery engagement that produces a written scope, an architecture direction, and a clear plan for the build.