Manufacturing software development
that keeps the line running
MES, planning, machine data, and traceability platforms — custom manufacturing software from senior engineers who wire OPC UA, ERP interfaces, and shop-floor reality into the architecture before the first screen is drawn.
Idealogic builds manufacturing software across the production contour — from shop-floor execution to the supply chain it feeds. The systems in production today sit on the supply side of that contour: AirpartChain, which digitizes aircraft maintenance and parts records with OCR and AI and anchors them to a tamper-evident ledger; HaulBreeze, the supply chain platform we run as our own product; and Conveya, a transportation management rebuild. The same senior teams behind our custom software development and AI development practices build MES-layer tools, planning systems, and machine-data platforms — and we wrote down what an MES actually covers before selling one.
From the work center
to the warehouse
Six practice areas where machine protocols, ERP boundaries, and the habits of a working floor decide whether manufacturing software survives its first shift.
MES & shop-floor software
Execution-layer software for work orders, operator screens, and andon — an MES shaped to your routings instead of a suite the floor learns to work around. Start with what an MES actually covers.
ERP integration & modernization
Shop-floor systems wired into SAP, NetSuite, or Odoo behind an adapter layer — work orders flow down, confirmations flow up, and the ERP keeps its ledger without trying to run the line.
Production planning & scheduling
Finite-capacity schedules, material availability, and changeover logic in one planning tool — replacing the spreadsheet that quietly runs the plant with software that knows your constraints.
Predictive maintenance & machine monitoring
Machine monitoring software on live OPC UA and sensor data, with failure models that schedule the repair before the breakdown — downtime becomes a forecast instead of a surprise.
Manufacturing data platforms & analytics
One data layer for machines, orders, and quality: historian feeds joined into per-line analytics, an OEE you can defend, and KPIs computed from source data rather than shift-end estimates.
Traceability & supply-chain software
Lot and serial genealogy modeled to the unit, so a recall is a query rather than a quarantine of everything. AirpartChain runs this discipline on aircraft parts in production today.
AirpartChain, a proof layer
for manufactured parts
Aircraft maintenance ran on paper, and paper gets lost. AirpartChain digitizes the records that prove where a component has been — and makes them impossible to quietly edit.
Parts traceability platform
OCR reads logbook pages and release tags, an AI layer validates the extraction, and the records anchor to a private Hyperledger chain — a component's history becomes a lookup instead of a paper chase.
Tamper-evident
Anchored to a private Hyperledger chain, shareable across companies
OCR + AI
Scanned logbooks become structured, validated records
End to end
Web, UI/UX, blockchain layer, and the AI pipeline that feeds it
How AirpartChain made a part's history provable
From scanned logbook to provable record, step by step.
Built to the standards
that run the floor
Manufacturing software earns trust through protocols and boundaries. We engineer to the standards your machines, ERP, and auditors already expect — before the first incident, not after it.
ISA-95
Layer boundaries drawn where the standard draws them — execution logic stays out of the ERP, planning stays out of the PLC, and integrations stop fighting the architecture.
OPC UA
Machine data read straight from PLCs and CNCs over the protocol industrial equipment already speaks — typed, timestamped, and secure by specification.
MQTT / Sparkplug B
Plant telemetry on a broker architecture designed for networks that drop — with birth and death certificates per device, so 'no data' and 'machine stopped' are never confused.
ERP interfaces
IDoc and BAPI for SAP, SuiteTalk for NetSuite, XML-RPC for Odoo — spoken behind an adapter layer, so the floor survives an ERP upgrade.
GS1 · lot / serial
Identifiers carried from raw-material lot to shipped serial, so genealogy survives every split, merge, and rework step between them.
ISO 9001 records
Quality data captured as work completes — not reconstructed for the auditor the week before the surveillance audit.
From floor to data
Three phases that take a manufacturing product from a single-line use case to an integrated system in production.
Scope & map
discovery · audit
Floor discovery
Routings, work centers, and the spreadsheets that secretly run things — mapped on the floor, not from an org chart.
Systems & data audit
PLC protocols, historians, ERP interfaces, and data quality pinned down before the architecture is decided.
Build & integrate
engineer · connect
Core build
Senior engineers ship the platform with AI assistants in the loop — machine data modeled first, screens second.
OT/IT integration
OPC UA, MQTT, historian feeds, and ERP interfaces wired in behind adapters that survive vendor upgrades.
Launch & scale
validate · grow
Line validation
Operators run the system against a live line before cutover — what survives a shift change is what ships.
Scale & observe
Instrumented, load-tested against full-plant data volumes, and extended line by line without a rebuild.
Adjacent work
in production
Three production builds from the supply side of manufacturing — parts traceability, a supply chain platform we run ourselves, and a transportation management rebuild.
Aircraft parts traceability on a private blockchain
Maintenance records lived on paper, so a part's history could not be trusted. AirpartChain digitizes them with OCR and AI, then anchors aircraft parts traceability to a private blockchain.
Supply chain management software built from scratch
Supply chain management software Idealogic built as its own product: one data layer for inventory and orders, automated transactions reported in real time, compliance tooling, and a document system that keeps itself current.
Auto transport management platform — TMS development
A car shipping company outgrew its tooling. We rebuilt the transportation management platform end to end: per-vehicle quoting, real-time shipment tracking, and an AI-assisted FAQ that answers customers before they call.
Questions manufacturers
ask us
Cost, ERP integration, machine connectivity, timelines — what plant and engineering leaders want settled before a first call.
Manufacturing software development is the engineering of custom systems that run production operations: MES and shop-floor software, planning and scheduling tools, machine-data platforms, and the integrations that connect them to ERP. The difference from buying a suite is fit — the software follows your routings, work centers, and quality rules instead of forcing the floor to work the way a vendor imagined.
Shop-floor and MES-layer software, production planning and scheduling tools, predictive maintenance and machine monitoring platforms, manufacturing data platforms and analytics, and traceability systems. The supply side of this work is in production today: AirpartChain anchors aircraft-part records to a tamper-evident ledger, and HaulBreeze, our own supply chain platform, joins orders, inventory, and carriers into one stream.
Integration surface drives the number more than feature count: every PLC protocol, historian, and ERP interface adds scope, and traceability depth adds modeling work. A single-workflow MVP — one line, one use case — lands at the lower end; a platform that joins machines, planning, and quality costs more. Discovery closes with a fixed estimate before engineering starts, so the budget is known before the code exists.
When the workaround tax exceeds the build cost. Off-the-shelf wins for standard processes — accounting, HR, generic inventory. Custom wins when your routing logic, machine park, or quality rules are the business: when operators re-type data between systems, when every workflow change needs a vendor consultant, or when the spreadsheet that actually runs scheduling has become unkillable.
Yes — integration, not replacement. We build against IDoc, BAPI, and OData for SAP, SuiteTalk and REST for NetSuite, and XML-RPC for Odoo, with an adapter layer in between so shop-floor software reads work orders and posts confirmations without depending on one vendor's API quirks. Replacement is a different project; integration keeps what already works.
Over the protocols the floor already speaks: OPC UA for PLC and CNC data, MQTT with Sparkplug B for plant telemetry on networks that drop, and historian integrations where one is already in place. Where a machine predates Ethernet, retrofit sensors close the gap. The data lands in one timestamped, per-work-center model instead of five vendor dashboards.
A focused MVP typically reaches the floor in 8 to 16 weeks. Wiring more machines, historians, and ERP interfaces stretches the timeline, which is why connectivity work runs in parallel with the build rather than ahead of it. Phasing matters more than scope: the first line goes live before the whole plant is wired.
In specific, measurable places: predictive maintenance models on vibration and temperature trends, computer-vision quality inspection at line speed, demand forecasting on order history, and assistants that answer questions like why line two stopped from live data instead of a binder. We treat AI as a layer on a solid data platform — without reliable machine data underneath, a model has nothing to learn from.
Put software on
your factory floor
Talk to a team that ships traceability and supply-side platforms to production — and treats your PLCs, ERP, and operators as the spec, not an afterthought.