Manufacturing.
Intelligent operations, predictive maintenance, and OT/IT security for manufacturing—integrating ERP, MES, and plant-floor data.
Unplanned downtime, manual processes, and silos between IT and the plant floor. SUMāTO connects data and automates to produce better.
12 ways Manufacturing leverages our portfolio.
Assistant for operators on the line
Answers questions on procedure, parameters and safety from the real documentation for each line, at the level of whoever is asking and from a terminal beside the machine. The experienced shift's knowledge stops leaving with whoever retires or moves plant.
Visual quality inspection
Reviews parts in line and flags the defect, its type and its position, with the image that supports it and the batch it belongs to. Inspection stops depending on how tired the shift is, and the record is there to answer a customer or challenge a supplier.
Real plant efficiency
Measures availability, performance and quality line by line and shift by shift, and shows where productive time is genuinely lost. It usually reveals the big loss is not the visible breakdown but micro-stoppages and changeovers nobody was counting.
Real cost by product and batch
Allocates material, energy, labour, scrap and rework down to product and batch level. It shows which references leave a margin and which are carried by the family average — what standard costing stops seeing as soon as the mix changes.
Purchasing, supply and work orders
Turns a material requirement into a request, approves it by value and approved supplier and follows it to receipt; and raises the maintenance order, assigns the technician and reserves the spare. Fewer stoppages caused by material nobody ordered in time.
Quality documentation and traceability
Gathers material certificates, process checks and batch records, and keeps them attached to what was produced and to the customer it shipped to. Answering an audit or bounding a recall goes from days of searching to a query lasting minutes.
Capacity for plant data
Sensors, process history and maintenance models generate more data than a plant server sustains. Capacity grows with volume and is paid for as used, without buying today the infrastructure of three years' time.
Separating the plant from the office
Protects industrial control systems, governs who reaches them and from where, and watches the traffic between both worlds without slowing the operation. It is what stops an office-network incident from halting production for days.
A desktop for engineering and the plant
The engineer opens their desktop with design and process applications from the office or the floor, with no drawing left on the machine. A laptop lost on a customer visit stops being a leak of industrial property.
Continuous operation of production systems
ERP, MES and the systems that hold up the line watched continuously, with incident handling and maintenance in the shutdown window. An outage is resolved before it becomes a lost shift and a missed delivery commitment.
Industrial architecture and integration
We set out how ERP, MES and plant systems connect, what is master for each piece of data and in what phases to advance. The output avoids the bespoke integration nobody can later maintain, with each stage's cost visible.
Whether your plant data is good enough to decide on
We measure what data the plant produces today, in what format it arrives and how much is lost between the equipment and the report. It ends by saying what can already be measured, what needs instrumenting, and what is not worth connecting yet.
Predictive maintenance
Anticipates failure of critical equipment from the signal it already emits and its intervention history. Maintenance moves from calendar to condition, and the stoppage is scheduled in a window production can absorb.
Production and demand planning
Combines firm orders, forecast and the real capacity of each line to decide what gets produced and when. Fewer last-minute changes on the floor and less finished stock nobody asked for.
Batch traceability and the quality file
Reconstructing what went into a batch, who released it and with what result stops being an archive exercise. The file assembles itself during production and is available when the customer, the auditor or a product recall asks for it.
How we ensure results in Manufacturing.
Start with an assessment
Diagnose first and invest after: what is missing, what is urgent, and what it costs.
Build on what you already have
We work on your current systems, without replacing them.
Prioritize by impact
We rank the cases by what they save and by how easy they are to put in place.
Protected data, clear rules
Who can see what, a record of every access, and limits set from the start.
A person has the last word
Technology does the repetitive work; what needs judgment stays with your team.
Measure and improve
Indicators your committee reviews, so you can correct as you go.
The method we deliver with.
Diagnosis, strategy, execution, and resilience, applied to the context of your industry.
Diagnosis (Assessments)
We evaluate readiness, maturity, and risk before we begin — view assessments.
Strategy & Architecture
IT strategic planning and enterprise architecture with TOGAF — learn more.
Project execution
PMI, Scrum, and Design Thinking depending on the challenge — agile projects.
Resilience
Continuity and recovery with DRP and BCP — view continuity.
Experience that spans industries.
We have delivered across very different sectors—banking, government, healthcare, telco, retail, energy—and that cross-cutting learning accelerates each project and reduces its risk.
Mission-critical operations in LATAM
Experience in regulated, highly complex sectors.
The best technology for your case
We integrate our own software and our partners'; we do not tie you to one vendor.
We answer for the outcome
From strategy to 24/7 operations, a single firm is accountable.
AI, data, automation, and security
Capabilities that combine to fit what each industry needs.
What we learn in one sector serves another
What works in banking or telco accelerates healthcare, retail, or government.
Without replacing your systems
It protects your investment and reduces the risk of every project.
What Manufacturing typically asks.
How can video analytics improve plant safety and HSE?+
Does video analytics also help with quality control on the line?+
How does predictive maintenance work with data analytics?+
What repetitive tasks can I automate in operations and administration?+
How do I protect my industrial and operational technology (OT) systems?+
How do I ensure continuity and service to customers and distributors?+
How we solve for Manufacturing.
The capabilities with the most traction in this sector, and why.
Data & Analytics
plant efficiency, quality and product traceability.
Cloud
elastic capacity for plant systems, industrial IoT and production analytics.
Artificial Intelligence
predictive maintenance, vision-based quality control and line optimization.
Data & Analytics Maturity Assessment
The plant already generates the data; the problem is it rarely reaches the decision certified. The assessment measures quality, lineage and governance by domain, and delivers the remediation path.
Manufacturing, in depth.
- IoT: from physical operations to data — how to instrument the plant without rebuilding it.
- Big data in practice: from Hadoop to Spark — which technology solves which problem.
- Cloud computing: what it is and why it's no longer optional — the starting point, without the jargon.
Let's bring this to your Manufacturing operation.
Schedule a 90-minute assessment and we'll prioritize the highest-impact use cases for your organization.
Schedule an assessment (90 min) →