Industries
Join the data your plant already makes
Manufacturing runs on production, inventory, maintenance and asset systems whose data is hard to join and act on. Toobler applies the same engineering capability that connects, modernizes and governs the operational platforms behind the line.
Where it applies
Where the engineering applies in manufacturing
Production, inventory, maintenance and asset data lives across MES, ERP modules, maintenance systems and shop-floor devices — fragmented and slow to turn into decisions.
Toobler’s engineering method integrates those sources, modernizes the platforms production depends on, builds the operational context — data engineering, analytics and, where it earns its place, digital-twin modeling — that makes production and asset state visible, and adds governed automation with human approval on top.
Method
Connect, Modernize, Understand, Act, Operate
The same five-stage method underpins every platform we engineer — only the systems and outcomes differ.
- 01
Connect
Integrate the applications, SaaS tools, databases, documents and devices that hold operational data, so information flows reliably rather than sitting in silos.
- 02
Modernize
Rework the brittle legacy platforms that critical processes depend on, so the platform itself can keep changing.
- 03
Understand
Give teams and machines shared context — data engineering, analytics and, where it earns its place, digital-twin modeling — so state and relationships are visible.
- 04
Act
Add governed AI assistants, agents and workflow automation with human approval, so decisions and tasks move without waiting on manual hand-offs.
- 05
Operate
Keep engineering the platform after go-live — reliability, support and continuous improvement, not a one-off project.
Proof
A live physics model of an extrusion line
A real-time physics digital twin of an extrusion line, and an assistant that recommends the smallest dial change that clears a fault
How Toobler built a real-time physics digital twin and an AI recommender for a plastics extrusion line, advising the smallest dial change that clears a fault.
Proof
Hurst Green PlasticsConnected parts-bin inventory, sensor to cloud
How Toobler built TwinBin Cloud for Hurst Green Plastics — a connected bin-inventory system with a custom IoT sensor device, a wireless mesh of nodes and gateways, a cloud platform, and web and mobile apps.
Across the whole operation
Connect · Modernize · Understand · Act · Operate
Systems & Data Integration
Information gets re-keyed because systems were never designed to talk. Connect fragmented systems, APIs, devices and enterprise data into one picture.
Platform Modernization
Legacy platforms do not get replaced overnight and cannot go dark. Modernized in place — re-architected, debt paid down, the operation still running.
Operational & Asset Intelligence
Assets and devices produce data long before anyone can act on it. Turn it into a live operational picture — IoT platforms, operational twins, decision support.
AI & Workflow Automation
AI in a business-critical workflow cannot run on outputs nobody can check. The model proposes, a human approves, every step audited — on Zahen.
Managed Product Engineering
Some teams would rather not carry a product alone. Toobler runs dedicated engineering pods that build, evolve and operate it long-term — web, mobile and cloud.
SaaS Product Engineering
SaaS products outgrow the architecture that launched them. Toobler designs, builds, scales and re-platforms software products for SaaS companies, ISVs and funded startups.
Discuss your platform
If your business runs on a critical operational platform, the same engineering method applies. Talk to us about where fragmentation is costing you most.