Manufacturers already generate enormous amounts of data — from PLCs, sensors, and machine controllers — and act on almost none of it. We build the software that closes that gap: connected-factory platforms, predictive maintenance, and ERP that unify production, inventory, and supply chain into decisions you can act on, one line at a time.
Manufacturers already generate enormous amounts of data — from PLCs, sensors, and machine controllers — and act on almost none of it. We build the software that closes that gap: connected-factory platforms, predictive maintenance, and ERP that unify production, inventory, and supply chain into decisions you can act on, one line at a time.
Discuss Your ProjectThe domain-specific problems we design around from day one.
Sensors are cheap; turning their output into a decision on the shop floor is the hard part most systems never solve.
Reactive maintenance is one of the largest hidden costs in manufacturing — expensive, disruptive, and avoidable.
Production, inventory, and accounting live in separate tools that never reconcile, so no one has a real-time picture.
Capabilities we bring to teams in your industry.
Specific services we deliver for this industry — go deeper on any of them.
Real, live projects that show this capability in production.
An all-in-one ERP that unifies accounting, POS, inventory, manufacturing, and retail in one platform — with one-click data migration from QuickBooks, Xero, Tally, and Wave, so businesses can switch without losing years of history.
A dynamic buy/sell pricing and cost-calculation engine for a shipping business — with custom table pages, manual override controls, and authorized-user permissions built into Business Central.
Our thinking on building software for this industry.
Sensors are cheap; acting on what they tell you is the hard part. Here is how manufacturers turn raw machine data into decisions that cut waste and downtime.
Read ArticleReactive maintenance is expensive and disruptive. Predictive maintenance uses your machine data to fix things before they break — here is how to get there pragmatically.
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