Manufacturing Software Development for Connected Plants
PilotLab provides manufacturing software development for manufacturers and industrial technology companies. We connect machines, MES and ERP systems into platforms that show what is happening on the floor and help teams improve throughput, quality and uptime.

How Custom Manufacturing Software Improves Plant Performance
Most plants already have data: PLC tags, MES records, ERP orders and quality spreadsheets. The problem is that it rarely comes together in time to act. Manufacturing software development turns those sources into one operational picture, so supervisors see downtime as it happens, planners schedule against real capacity and quality teams trace issues to the line, shift and batch. Decisions move from end-of-week reports to the current shift.
We build industrial IoT pipelines with real-time data processing and event-driven architecture, then store time-series and transactional data with careful database design. That foundation supports OEE dashboards, predictive maintenance and traceability without overwhelming plant networks. Edge gateways buffer data during outages and send only what the cloud needs, while time-critical control stays on site. Operators get screens designed for the floor: large, glanceable and usable with gloves on a shared terminal.
Integration is where many projects stall. Our API and platform engineering team connects MES, ERP, WMS and QMS systems through well-defined APIs instead of brittle point-to-point scripts. We also build industrial SaaS products for vendors who sell to manufacturers, with multi-site and multi-tenant support from the start. Each integration is monitored, so a failed transfer is flagged long before it becomes a shipping delay or an inventory mismatch.
Manufacturing Technology Challenges We Solve
Machine connectivity and IoT data
Equipment of different ages speaks OPC UA, Modbus, MQTT or nothing at all. We build edge gateways and pipelines that collect, buffer and normalize machine data reliably.
MES and ERP integration
Orders, materials and production results must flow between MES and ERP systems such as SAP, Oracle and Microsoft Dynamics. We build integrations that keep both systems consistent.
Measuring OEE accurately
OEE is only useful if availability, performance and quality are measured consistently. We automate data capture and downtime reason coding to remove manual guesswork.
IT and OT security
Connecting plant equipment to the cloud expands the attack surface. We segment networks, use outbound-only connections and apply least-privilege access.
Manufacturing Software Solutions We Build
We build systems that connect the plant floor to the business and give every team data they can trust.
OEE and production monitoring
Real-time dashboards for availability, performance, quality, downtime reasons and shift performance across lines and plants.
Industrial IoT platforms
Edge data collection, time-series storage, alerting and remote device management for connected equipment.
Predictive maintenance
Condition monitoring and AI-driven anomaly detection that flags failing equipment before unplanned downtime.
Quality and traceability systems
Inspection workflows, nonconformance tracking and lot genealogy that trace materials from supplier to shipment.
Production planning and scheduling
Capacity-aware scheduling tools that use ERP demand and real-time machine status to plan work orders.
Supplier and dealer portals
Web portals for purchase orders, forecasts, quality documents, warranty claims and parts ordering.
Manufacturing Standards Our Software Supports
PilotLab builds software that supports the quality, safety and security standards manufacturers work under. Your quality and compliance teams own certification; we build systems that produce the records they need.
ISO 9001
Software should support document control, traceability, corrective actions and the records needed to demonstrate a working quality management system.
FDA 21 CFR Part 11
Regulated manufacturers need electronic records and signatures with audit trails, access controls and validation evidence.
IEC 62443
Industrial systems should follow security practices for network segmentation, secure remote access and component hardening.
OSHA recordkeeping
Safety tools must capture injuries, incidents and inspections accurately and produce the logs required for reporting.
Manufacturing Software Use Cases
- OEE dashboards
- Machine monitoring
- Predictive maintenance
- Lot traceability
- MES and ERP integration
- Production scheduling
- Supplier portals
- Industrial SaaS products
Services for Manufacturing Companies
API & Platform Engineering
REST and GraphQL APIs, webhooks, SDKs and developer portals.
AI & Automation
AI search, copilots and workflow automation inside your product.
Cloud Infrastructure
AWS, GCP and Azure architecture with auto-scaling and disaster recovery.
Database Design
Schema design, data modeling and query optimization for SaaS workloads.
Insights for Manufacturing Teams
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Manufacturing Software: Frequently Asked Questions
Can you connect older machines that lack modern interfaces?
Often, yes. Many older machines can be connected through PLC protocols such as Modbus, existing SCADA historians or retrofit sensors for signals like power draw, cycle counts and vibration. We assess your equipment, choose the least invasive data source and use edge gateways that buffer data locally so nothing is lost when network connections drop.
Should we buy an MES or build custom manufacturing software?
Commercial MES products fit well when your processes are standard. Custom software makes sense when you need specific workflows, multi-plant visibility across different systems, or capabilities your MES does not offer. Many manufacturers keep their MES and ERP and build custom layers for analytics, integration and operator tools on top of them.
How do you integrate MES and ERP systems?
We map the data each system owns, such as work orders, materials, labor and production results, then build integration services using the systems' APIs, middleware or database interfaces. Messages are queued, validated and retried, with reconciliation reports to catch mismatches. This replaces fragile scripts with integrations your IT team can monitor and maintain.
Is it safe to send plant data to the cloud?
It can be, with the right design. We keep control networks segmented, use outbound-only encrypted connections from edge gateways, avoid exposing PLCs to the internet and apply least-privilege access. Cloud platforms then handle analytics and dashboards, while time-critical control stays on site where it belongs.
How quickly can we see results from a manufacturing software project?
A pilot on one line, such as machine monitoring with OEE and downtime tracking, can typically be built within an 8-12 week MVP timeline. That gives you real data to validate value before rolling out across plants. Broader platforms with ERP integration and predictive maintenance usually follow in phases over the next several months.
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