What We Build

Custom Software

Custom Software Development

Off-the-shelf software works until your process doesn't match its assumptions - then you're stuck stitching spreadsheets together or paying for modules you don't need. Custom development means the data model and workflow match how your team actually operates, not the other way around.

Automation

Business Automation

Automation is a trigger, a set of deterministic steps, and a recovery path for when a step fails - not a black box. The engineering work is mostly in the parts that don't show up in a demo: what happens on a retry, what happens when a classification is uncertain, and who gets alerted when the whole thing stops.

AI & Vision

AI and Computer Vision

A vision or AI system's accuracy on a slide deck and its accuracy on a production line are two different numbers. The gap between them is almost always lighting, camera placement, triggering, and the review process around uncertain results - not the model architecture.

Web

Websites and Web Applications

A website and a web application share a browser but not much else architecturally. A marketing site is mostly content and conversion paths; an application has authentication, authorization, and data integrity to get right - and treating one like the other is where most weak implementations come from.

Mobile

Mobile Application Development

A mobile app for a field technician and a mobile app for a retail customer solve different problems - one is about working reliably with no signal, the other is about a smooth checkout. Both get built badly by assuming a desktop-web mental model just needs a smaller screen.

Dashboards

Dashboards and Data Systems

A dashboard is only as trustworthy as its slowest, least-documented source system. Most dashboard projects fail on metric definitions and data freshness, not on chart design - two departments both showing 'revenue' with different numbers because no one agreed on what counts.

Inventory

Smart Inventory and Logistics

Inventory accuracy is a transaction-logging problem before it's a software problem - a system can only be as accurate as the movements it's told about. The engineering work is in the transaction model, the scanner integration, and what happens when a scan can't reach the server.

Integration

API and Cloud Integration

An integration project is really a contract negotiation between two systems that were never designed to talk to each other. The interesting engineering is in what happens when that contract is violated - a duplicate webhook, a schema change, a rate limit hit mid-sync.

Industrial

Enterprise and Industrial Systems

Plant-floor software has one hard constraint that ordinary business software doesn't: it has to be honest about what it doesn't control. The engineering discipline here is being precise about the boundary between an informational/supervisory system and the safety-rated control that has to remain independent of it.