We modernize plant floors and supply chains around a unified data fabric — then layer AI for quality, maintenance and yield. The result: hours of downtime become minutes, and yield curves stay above the line every quarter.
01 — Thesis
For decades, factories ran on islands: PLCs, MES, ERP, QMS, each refusing to talk. Industry 4.0 was a promise that mostly stayed on slides.
We make it operational — unifying machine, line and plant data into one fabric, layering AI for quality and maintenance, and closing the loop into planning. Every plant on one operating system. Every shift on one number.
We start every engagement by being precise about the failure modes you are operating around — because that is what your roadmap is really about.
Decades of vendor stacks resist modern observability and AI.
Reactive maintenance cycles eat throughput and yield.
Inline inspection still depends on manual sampling and tribal knowledge.
MES, ERP, QMS and SCADA not linked at the decision layer.
Hours of context lost between shifts — every day, every plant.
Scope 1/2/3 reporting and energy optimization without telemetry is impossible.
From plant-floor automation to enterprise systems, we deploy manufacturing-ready AI, software, data, and commerce solutions that connect operations, reduce downtime, improve visibility, and help factories scale with confidence.
MISSION PHASE
Deploy predictive maintenance, AI vision quality, agentic planning, and shift copilots that reduce downtime, improve yield, and keep production moving.
MISSION PHASE
Modernize ERP, MES, QMS, and plant-floor systems into connected Industry 4.0 backbones built for real-time operational visibility.
MISSION PHASE
Build plant-floor applications, operator dashboards, supplier portals, production trackers, and custom tools that simplify factory operations.
MISSION PHASE
Launch secure Shopify B2B and D2C commerce experiences for manufacturers, industrial brands, spare parts, tools, and product catalogs.
MISSION PHASE
Unify machine, quality, production, and supply chain data into AI-powered dashboards, forecasting models, and decision intelligence systems.
An Industry 4.0 reference stack with OT, IT and AI converged on one observable fabric.
PLCs, SCADA, IoT
Edge gateways, vision
MES, QMS, maintenance
ERP, PLM, supplier
Plant lakehouse, twin
Maintenance, quality, planning
OEE, yield, energy
Six categories of manufacturing intelligence systems, shipped into production — connecting machines, workflows, data and AI as you scroll.
Voice-first and dashboard-based copilots that help plant teams manage shift handovers, maintenance updates, SOPs, safety checks, and daily production actions.
An orbital architecture where every plant, workforce, inventory, procurement, finance and analytics module is connected to the manufacturing core in real-time.
Scroll to explore modules
We commit to a small, opinionated stack per industry — with the right escape hatches when your enterprise demands them. Below is the working ecosystem for this practice.
A senior partner replies within 24 hours with a tangible plan, modelled on your actual lines, plants and SKUs.
