Software, AI, and cloud engineering for manufacturing.
IIoT, MES, and operations intelligence.
How we work in manufacturing.
Manufacturing teams operate under constraints that most generic software shops underestimate — regulatory, operational, or commercial. We have shipped enough in this sector to know which corners can be cut and which cannot.
Every engagement begins with mapping those constraints explicitly. From there we build in production-shaped slices, with the security, compliance, and observability posture you will eventually be audited against in place from week one.
The non-negotiables are part of the architecture.
Compliance
Quality, safety, and traceability requirements are reflected in the MES workflow rather than side documents.
Latency
Line-side screens, telemetry, and quality checks stay responsive even when plant connectivity is uneven.
Auditability
Batch records, operator actions, defects, and recipe changes are reviewable across plants and shifts.
Data security
Plant, edge, and cloud boundaries are designed to protect production data and operational continuity.
User adoption
Operators help shape the screens, devices, and language so the rollout survives shop-floor reality.
A pragmatic path from discovery to production.
We avoid theatre by shipping one auditable, observable workflow first, then using real adoption and operating data to guide the next slice.
Map
Make constraints explicit
Document the journeys, systems, controls, and metrics that decide whether the work is safe to ship.
Slice
Build the first production path
Deliver one valuable workflow end to end with integrations, security, telemetry, and support in place.
Scale
Expand with evidence
Use adoption, latency, quality, and business metrics to decide what to automate or modernize next.
Software patterns we see repeatedly in manufacturing.
MES platforms
IIoT ingestion
Quality workflows
OEE and production intelligence
We choose stacks for reliability, hiring depth, integration fit, and long-term ownership.
Spring Boot
Services
Kubernetes
Platform
Kafka
Telemetry
Azure
Cloud
The capabilities most often combined for manufacturing teams.
A representative outcome, not a vanity demo.
We anchor industry work to measurable operational, commercial, and adoption outcomes.
An MES rollout across nine plants that the operators welcomed
Mid-market manufacturer
Rolled out a custom MES across nine plants in 14 months, lifting OEE by 11 percentage points and surviving the inevitable shop-floor reality check.
- OEE lift
- +11 pts
- Plants rolled out
- 9
- Operator NPS
- +46
What we typically deliver.
Custom platforms
Core systems built around how your operations actually work, not a vendor template.
AI & data products
Models and pipelines that survive contact with production, with the evaluation harness to prove it.
Cloud & platform
Landing zones, replatform projects, and developer platforms tuned for your compliance footprint.
Modernization
Strangler-pattern moves off ageing systems, with measured cutovers and no big-bang surprises.
Security & compliance
Secure SDLC, threat modeling, and audit-ready evidence baked into delivery — not bolted on.
Embedded teams
Senior engineers and SREs embedded with your team for the time it takes — and not a day longer.
Ready when you are
Talk to a manufacturing engineer.
A senior engineer with industry experience will follow up within one business day.