Software Development for Industrial Machinery Manufacturers

We build connected-machine platforms that collect telemetry, alarms, utilization, operating conditions, and service events from equipment deployed in the field. Data from machines can be normalized and streamed into a central platform where service teams see fleet-wide health, recurring faults, firmware versions, uptime, and maintenance status in one place.

Customers can receive a branded portal with live equipment status, performance trends, maintenance history, documentation, and service requests. We can also integrate the platform with ERP, CRM, ticketing, and service systems so a machine alarm can automatically create a case, notify the right team, or trigger a maintenance workflow.

For unreliable connectivity, we can support local buffering, delayed synchronization, and edge processing so machines continue operating even when the connection to the cloud is interrupted.

We develop digital spare-parts portals that help customers identify, price, and order the correct component for a specific machine or serial number.

The portal can generate interactive catalogs from BOM, ERP, PLM, and serial-number data, with exploded views, superseded part numbers, compatibility rules, customer-specific pricing, availability, and order status. This reduces the need for customers to call service teams or search through static PDFs.

We can connect the portal directly to ERP, inventory, CRM, and eCommerce systems so customers see current stock, contract pricing, lead times, and order history. For OEMs, this creates a direct digital aftermarket channel and helps capture parts revenue that may otherwise go to independent distributors or third-party suppliers.

We build field service platforms that connect service coordinators, technicians, equipment records, spare parts, warranties, and customers in one workflow.

Service teams can create and assign work orders, schedule technicians, track SLA commitments, manage service contracts, and maintain a complete service history for every machine by serial number. Mobile applications can give technicians access to manuals, checklists, previous repairs, equipment data, and required parts while they are on site.

We can also support remote assistance, photo and video documentation, digital signatures, offline mobile workflows, and integration with ERP, CRM, inventory, and billing systems.

The goal is to improve first-time fix rates by giving technicians the right machine history, diagnostics, and parts information before they arrive.

We develop rules-based CPQ and product configuration systems for configure-to-order and engineer-to-order machinery businesses. The configurator can translate customer requirements into a technically valid machine configuration, price, BOM, routing, and commercial proposal while checking engineering rules automatically. Standard options can be handled directly by sales teams, while only genuinely non-standard requirements are escalated to engineering.

We can integrate the configurator with CAD automation to generate drawings or models, with PLM for engineering data, and with ERP for BOMs, routings, quotations, and production orders.

This reduces manual engineering effort during quoting, shortens response times, and prevents invalid combinations from reaching production.

We build modern operator interfaces and edge applications for industrial machinery, including HMIs, local dashboards, machine-control interfaces, diagnostics, and data-collection services.

Edge software can preprocess machine data locally, execute rules close to the equipment, buffer information during network outages, and synchronize with cloud platforms when connectivity returns. This helps maintain critical machine functionality without making production dependent on a permanent internet connection.

We can also support secure software and configuration updates, version management, remote diagnostics, and controlled deployment of updates across installed machines.

For brownfield environments, the edge layer can connect older PLCs, sensors, and industrial protocols with newer cloud, analytics, and service platforms.

We build predictive maintenance systems that use telemetry and service data from the installed machine fleet to identify early signs of degradation and failure.

OEMs often have a unique advantage because they can combine operating data from many similar machines with engineering knowledge, maintenance history, failure modes, and component specifications. This data can support models for detecting bearing wear, drive anomalies, temperature changes, vibration patterns, process drift, and other indicators of developing problems.

The platform can score equipment health, estimate maintenance urgency, and convert alerts into service tickets or recommended actions automatically.

We can combine machine-learning models with engineering thresholds and rule-based diagnostics, allowing service teams to prioritize the most meaningful alerts rather than reacting to every individual sensor deviation.

We build digital twins and simulation environments that allow engineering teams to test machine behavior before physical commissioning.

A virtual model can be connected to PLC logic, control software, HMI applications, or other machine systems so teams can test sequences, interlocks, error handling, and operator workflows before the final hardware is available.

This helps identify software and integration issues earlier, when they are cheaper to correct than during installation at the customer’s site.

For commissioning, the same environment can support regression testing, operator training, software validation, and future machine updates. By resolving more problems virtually, manufacturers can reduce on-site debugging, shorten commissioning windows, and improve consistency across machine variants.