DGTL for Manufacturing
Manufacturing is in the middle of the biggest technology shift in a generation, IoT, predictive maintenance, digital twins, and AI-driven optimization are reshaping operations. We bring engineering, data, AI, and strategy together so you can modernize without disrupting the production floor. Headquartered in Quito, one timezone with your East Coast team, delivery across the Americas.
Manufacturers face a different kind of digital transformation challenge than digital-native companies:
Your ERP might be older than some of your engineers. Your MES was customized a decade ago by a vendor that no longer exists. Every new system has to integrate with this legacy stack without breaking production.
A software rollout that causes four hours of production downtime can cost more than the entire software project. Deployment, testing, and rollback strategies matter as much as the code itself.
Machine data, quality data, supply chain data, financial data, they all live in separate systems with different formats. Unifying them is the prerequisite for any AI or optimization initiative.
Predictive maintenance, quality inspection, demand forecasting, and process optimization can drive enormous ROI. But AI that’s not grounded in production constraints, safety requirements, and operator workflows won’t get adopted on the shop floor.
Modernizing legacy ERP and MES integrations
Build + Data
Integration layers that connect new software to legacy systems with reliable data flow, error handling, and rollback capability.
Deploying predictive maintenance AI
AI + Data
ML models for machine failure prediction, anomaly detection, and maintenance scheduling, grounded in your actual production data.
Unifying operational data
Data
Data infrastructure that pulls from PLCs, SCADA, MES, ERP, and quality systems into a single source of truth.
Building operator-friendly dashboards
Studio + Build
UX designed for shop-floor use: high-contrast displays, glove-friendly interfaces, and workflows that match how operators actually work.
Digital twin and simulation platforms
Build + AI
Process digital twins for capacity planning, bottleneck analysis, and what-if simulation before changes hit production.
Digital transformation strategy
Advisory
Sequencing your modernization roadmap to deliver ROI in phases, not a multi-year big-bang project.
DGTL Readiness Index
Manufacturing clients carry strong domain Advisory and stable Sales (relationship-driven), but soft across Build (legacy ERP/MES), AI (early-stage), Data (siloed across OT/IT), and Secure (OT exposure). Modernization tends to start with Data + Secure as the foundation.
Composite profile from prior engagements in this vertical. The dotted ring is the target we work toward together.
See the frameworkWe work with mid-market manufacturers modernizing operations through predictive maintenance, data unification, and digital twin platforms. Representative engagements have achieved 30%+ reduction in unplanned downtime and 6-month payback on AI investment.
Read the full case studyThese case studies are representative examples. Client names, figures, and specific details may have been modified or anonymized until signed releases are available.
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Tell us about your operations and your modernization goals. We’ll build a phased roadmap that delivers ROI without disrupting production.