Can you work in an OT environment?

Yes. We respect the constraints. OT network segmentation stays intact. Data flows across a boundary designed with the plant engineering team, not around it.

Do you do SCADA or PLC programming?

Not directly. We partner with specialist OT firms for the controls work and focus on the data and analytics layer above it.

What about brownfield S/4 migrations?

Yes. Brownfield conversion, selective data transition, or full greenfield depending on ECC state and business drivers. We assess before recommending.

How do you handle plant-by-plant rollouts?

Waves. Pilot plant first. Lessons captured. Template refined. Subsequent plants ride the template with local configuration.

Can you run the platform after go-live?

Yes. See /managed-services/data-platform-operations/ and /managed-services/application-support/ for the day-two arrangement.

Manufacturing. The factory floor, on the network.

Discrete and process manufacturers. We connect OT and IT data, build production and quality analytics, modernize the ERP core, and run the operations that keep the plant on the network.

Talk to us All industries

Capabilities

What we build and run.

OT and IT data integration

Shop-floor signals flowing into the data platform. MES, SCADA, historian, and ERP together. Latency and loss measured, not assumed.
Production and quality analytics

OEE, yield, downtime root cause, and SPC dashboards plant leaders check every shift. Anomaly detection that catches drift before defects ship.
S/4HANA and ERP modernization

Greenfield or brownfield S/4 for manufacturing. Finance, supply chain, production, and quality modules sized to your business.
Supply chain planning

Demand, supply, and production planning that reflects how the shop actually runs. Integrations with IBP, Kinaxis, o9.
Predictive maintenance

Models for critical assets. Sensor data in, maintenance tickets out. Evaluation baseline before deployment.
Industrial AI with guardrails

Vision inspection, root-cause assist, operator copilots. Evaluated in the context of the line, not a benchmark.

Typical outcomes

What gets shipped most.

OEE up, unplanned downtime down

Production analytics and predictive maintenance targeting the assets that bleed the most time.
Cleaner S/4 migration

Data cleansing, cutover rehearsals, and the reporting layer finance will use from day one.
Shop-floor data where analysts can reach it

Historian and MES data flowing into the lake on a schedule the team trusts. Questions answered the same day they are asked.
Quality metrics visible every shift

SPC, yield, and defect analytics. Dashboards in the plant, not just in headquarters.

Stack

Stack we see most.

SAP S/4HANA
SAP IBP
Kinaxis
o9
Blue Yonder
Rockwell FactoryTalk
GE Proficy
AVEVA PI
Ignition
Databricks
Snowflake
Microsoft Fabric
Azure IoT
AWS IoT
PTC ThingWorx
Siemens MindSphere

FAQ

Questions we get.

Can you work in an OT environment?: Yes. We respect the constraints. OT network segmentation stays intact. Data flows across a boundary designed with the plant engineering team, not around it.
Do you do SCADA or PLC programming?: Not directly. We partner with specialist OT firms for the controls work and focus on the data and analytics layer above it.
What about brownfield S/4 migrations?: Yes. Brownfield conversion, selective data transition, or full greenfield depending on ECC state and business drivers. We assess before recommending.
How do you handle plant-by-plant rollouts?: Waves. Pilot plant first. Lessons captured. Template refined. Subsequent plants ride the template with local configuration.
Can you run the platform after go-live?: Yes. See /managed-services/data-platform-operations/ and /managed-services/application-support/ for the day-two arrangement.