One system, not a pile of parts.
Most real problems live at the boundary: between a machine and a database, a sensor and a dashboard, a legacy system and a modern one. We make technologies that weren't originally designed together work as one system.
Reviewed
Hover or focus a component to see what it is and what it talks to. Arrow keys move between them.
A legacy machine, an ERP, a vision cell and a quality database are joined by an integration layer so the data exists once and the people who need it see it.
Components:
- Legacy machine (serial): A 1998 controller with an RS-232 port and no documentation.
- ERP: Orders, inventory, costing.
- Vision cell: Inspection results per part.
- Integration layer (the seam): Translates, validates, and stores once. This is the work.
- Unified data: One record per part, per order, per event.
- People (dashboards, alerts): Production, quality and the office see the same numbers.
Connections:
- Legacy machine to Integration layer over serial
- ERP to Integration layer over REST, both directions
- Vision cell to Integration layer over REST
- Integration layer to Unified data over SQL
- Unified data to People over REST
Sound familiar?
- Four vendors, four systems, and none of them talk to each other.
- Someone re-types the same order into three places.
- Every integrator we call only does their half of it.
What's included
8 services under Systems Integration.
Software Integration
Software integration services that connect ERP, MES, CRM, and custom apps with reliable APIs, message queues, and monitored data pipelines built to last.
Learn more →Hardware/Software Integration
Hardware/software integration engineering that connects PLCs, sensors, and instruments to the applications that need their data — from drivers to dashboards.
Learn more →Machine-to-Cloud Integration
Machine-to-cloud integration that moves PLC and sensor data into cloud platforms securely — OPC UA, MQTT, store-and-forward buffering, and clean data models.
Learn more →Edge-to-Cloud Systems
Edge-to-cloud systems engineered end to end: local processing for latency and uptime, cloud for storage and analytics, connected by secure, resilient links.
Learn more →Protocol Integration
Protocol integration for industrial systems: Modbus, OPC UA, MQTT, EtherNet/IP, serial, and proprietary protocols bridged into one coherent, documented network.
Learn more →Data Integration
Data integration services for manufacturers: schema mapping, ETL and ELT pipelines, historian connectivity, and a single trustworthy view of operations data.
Learn more →Legacy Equipment Connectivity
Legacy equipment connectivity services: get data from serial-only and pre-network machines into modern software without replacing hardware that still works.
Learn more →Custom Integration Engineering
Custom integration engineering for systems no off-the-shelf connector supports — reverse-engineered interfaces, custom drivers, and durable middleware builds.
Learn more →How we approach it
Straightforward, in this order.
01
Map what exists
Every integration starts with an inventory: systems, protocols, data owners, and the undocumented workarounds holding it all together today.
02
Read-only first
We extract and prove the data flow without changing behavior. Production systems that work deserve respect; write paths and control come later, with rollback plans.
03
Translate, don't replace
Modbus to MQTT, serial to API, legacy database to modern application — bridging usually beats ripping out equipment that still does its job.
04
One accountable system
When it ships, the boundary disappears: one data model, one monitoring surface, one team to call — instead of four vendors pointing at each other.
Ask about Systems Integration
Describe the problem. Get a straight answer.
One line is enough. An engineer replies within a business day.
Typical engagement
- Shape
- Discovery and an integration map first, then interfaces built one boundary at a time with tests, then a coordinated cutover.
- Duration
- Point integrations in weeks; multi-system programs typically two to six months with a phased cutover.
- Team
- An integration lead who owns the map and the vendors, plus engineers per interface.
- You hold at the end
- Integration map with owners and data flows
- Interfaces with automated tests
- Cutover plan and rollback
- Documentation of every connection
- Pricing
- Scoped per project after a call; fixed-price phases where the scope is firm, time-and-materials where it isn't. How engagements work →
Work it out yourself
What would a system for this look like?
Answer six questions about what you have and what you want, and watch a system diagram assemble itself — machine, sensor, gateway, broker, store, dashboard, alert. Export it, or send it to us as the start of a scope.
How this gets priced
What moves the number, before there is a number.
We publish no rates — every engagement is quoted against a written scope. What we can tell you is what that scope will turn on, so you can see the shape of the price before the call.
Cost drivers
- Number of systems and the state of their interfaces
- Whether data models agree on what a part, an order or a lot is
- Ownership — who is allowed to change what
- Legacy protocols and undocumented machines
- Whether the integration must be real-time
A typical first phase
An interface inventory: every system, every port, every export, and a map of which record is the source of truth for what. It ends with the seam chosen and a scope for the first join.
What makes it expensive
- Two systems that both believe they own the same record
- Vendors who will not share an interface
- Real-time sync where nightly would do
What makes it cheaper
- Choosing one source of truth per record and enforcing it
- Batch where batch is enough
- A thin integration layer instead of modifying either system
In production
Where this work is running today.
Radar sensors read strip position, an edge controller turns raw returns into an offset, and the mill PLC drives the centering actuators while the operator watches live position.
A steel-mill systems provider · Steel manufacturing
Radar-based centering system for steel mills
End-to-end engineering of a radar sensing system that measures and centers material on steel mill lines — from equipment assessment through hardware selection, electrical engineering, software, installation, and commissioning.
Read the case study →Legacy points-and-rewards systems migrate onto event streams built as Go microservices, feeding a ledger of balances and global member APIs.
A global loyalty & rewards platform · Financial services
Global loyalty & rewards platform modernization
Engineering with the platform's global loyalty and rewards teams: migrating legacy systems to event-driven microservices in Go, across point tracking and the ledger — distributed systems work through to war-room production deployments.
Read the case study →Who this is for
Built for operators, not for the demo.
Anyone whose systems don't talk to each other — plants with disconnected equipment, companies with siloed software, and integrators facing a cross-disciplinary scope.
Available as a scoped project, contract engineering, or a fractional arrangement — see how we work.
Common questions
Asked before every Systems Integration project.
What does a systems integrator actually do?
An integrator makes separately-designed technologies behave as one system: machine to database, sensor to dashboard, legacy software to modern API, plant floor to cloud. The work is equal parts protocols, data modeling, and engineering judgment about what should talk to what.
Our equipment uses old protocols. Can it still be integrated?
Almost certainly. Modbus, serial, proprietary logs, even dry-contact signals can be bridged into modern systems with the right gateway and translation layer. Age alone rarely disqualifies equipment from integration.
How do you avoid breaking systems that already work?
Read-only first: we extract data without changing behavior, prove the integration in parallel, and only then add write paths or control — with rollback plans. Production systems that work deserve respect.
Can you integrate software systems, not just machines?
Yes — connecting business applications, databases, APIs, and cloud platforms is half of integration work. The interesting projects usually cross the boundary: an ERP that needs to know what the plant floor is doing, for example.
Our vendors are protective of their systems. How do you work with them?
Directly and respectfully. We ask each vendor for their supported interface, work within it, and document the boundary so responsibility is clear when something breaks. Where a vendor offers no interface, we discuss the options with you openly rather than working around them quietly.
What happens when one of the integrated systems is upgraded?
Integrations are built at documented interfaces with tests that exercise them, so an upgrade shows up as a failed test rather than a surprise in production. We also leave a map of every connection, its owner, and what depends on it.
Strategy. Software. Systems.
Have a system that should exist?
Tell us what your operation is doing manually, what isn't connected, or what you're trying to build. We'll tell you plainly whether and how we can help.