Openorg Ecosystem

Back in 2009, Openorg became pioneers in Factory Automation and Lean Manufacturing when they designed the world's first industrial Finite-State Machine as a Service, or FSMaaS, implementations.

OpenOrg’s industrial-grade platform is designed to unleash real-time data. It acts as a central nervous system in factories and plants, connecting all machines and equipment around flows in real time, reacting and responding intelligently to everything that happens in the field.

Over the years Openorg has extended its Ecosystem adding Business Automation solutions to achieve digital transformation of complex business processes. Process automation can streamline business workflows, increase service quality, improve service delivery and contains costs.

Openorg cloud-native microservices connect Operational Technology (OT) to IT systems unifying the data for use in a wide range of IoT and Industry 4.0 initiatives - such as advanced analytics and monitoring.

Successful organizations need open leadership. The world has changed. Companies that want to grow and succeed can't operate in the past.

We believe in The Open Organization principles to create business environments that can respond quickly in today's fast-paced world. Our culture is evolving towards openness.

Factory Automation

Openorg devised the first industrial Finite-State Machine as a Service infrastructure, or FSMaaS, for the centralized design of finite state automata and control algorithms, in the control plane, and their orchestration and deployment, plant-wide, to all smart machines in the data plane.

The Openorg framework has a modern microservices, cloud-native and event-driven architecture for building custom containerized microservices and industrial-grade applications.

The hybrid cloud-driven or edge-driven Openorg FSMaaS microservices today orchestrate, controls and monitors roughly 400 manufacturing and processing cells installed around the globe and provides capabilities in hard real-time control, monitoring, alarm management, predictive maintenance, tracking, remote firmware updates and much more.

Through the experience of scaling these Factory Automation and Industrial IoT projects, Openorg has built a solution for factory and warehouse automation capable of orchestrating systems for processing and manufacturing, storage and retrieval, transport and conveyors, picking and palletizing, etc ... integrating with a wide range of automation technologies and equipment that will boost the performance of your production and automated material handling while reducing costs.

Openorg FSMaaS service mesh is logically split into a data plane and a control plane:

Flexible Manufacturing System

Control Plane

Finite-State Machine as a Service, FSMaaS

Design and Deploy Control Algorithms at Scale

  • Is your plant flooded with hundreds of PLCs and HMIs?
  • Are your automata and control algorithms developed by a plethora of different vendors?
  • Are you sure that the processes in your plant are under your control?
  • What are the control algorithms maintenance costs in your production plant?
  • What can you say about the losses for every downtime due to the control software updates?
  • Wouldn't it be better to eliminate all of these causes of manufacturing downtime?

Openorg FSMaaS is designed based on the four main principles of modularity, orchestration, autonomy and discovery that enable flexible, scalable and composable operation functions in your production departments.

FSMaaS represents the control plane of your factory capable of orchestrating and configuring all smart machines distributed in the field.

The data plane is composed of a set of automation equipment and intelligent proxies that mediate and control all the machines. They also collect and report telemetry data.

Manufacturing, Operations and Maintenance Processes

Lean Operations and Scheduling

Empowering digital operations in lean manufacturing using an event-driven infrastructure. Openorg Lean Manufacturing service is a holistic Manufacturing Operations Management, or MOM, solution that enables you to implement your strategy for the complete digitalization of manufacturing operations. The system provides end-to-end visibility into production, allowing decision-makers to readily identify areas to be improved within both the product design and associated manufacturing processes, and make the necessary operational adjustments for smoother and more efficient production.

Warehouse and Logistics Processes

Aautomated warehouse solutions customized to your needs

Warehouse Management System (WMS) optimizes day-to-day warehouse operations using industry-leading practices, such as Beacons, mobile RF barcode scanning, defined fully automated strategies for putaway and picking, task management, return authorization receipts and cycle count plans. With hundreds or even thousands of SKUs to handle, often across multiple locations, warehouse management can quickly become a manual, chaotic and inefficient process if you're relying on spreadsheets or worse, pen and paper. WMS eliminates manual processes, allowing you to minimize handling costs, run your warehouses more efficiently and consistently meet customer expectations.

Data Plane

Flexible Manufacturing Systems Automation

Routing flexibility and machine flexibility

Implementing a Flexible Manufacturing System offers companies plenty of value, both in hard and soft savings. Overall, the automated nature of an FMS, from material handling to information management and machine interaction, removes the need for the majority of repetitive human tasks that would otherwise be required to operate the equipment cell. This reduces not only direct labor costs but opportunities for production injuries and accidents as well.

Flexible Manufacturing Cells Automation

Work cell operations

  • Scheduling for machines and other manufacturing operations such as inspection and quality
  • Seamless real-time manufacturing process control and visibility over automated manufacturing operations
  • Batch production and setup change scheduling
  • Seamless production flow over automated and non-automated work cells

Work Machines Automation and Processing Equipment

Integrate to different production machinery

Automatic and predictive scheduling and full transparency of manufacturing operations to stand-alone machine tools, processing equipment and other manually operated workstations.

Material Handling and Robotic Systems Automation

Efficient transport of material from one place to another in the manufacturing area

The efficiency and reliability of material handling automation systems often determine the productivity and profitability of a warehouse or distribution center. Manufacturers want to produce and ship products to customers faster, cheaper and with increased quality.

Flexible and modular equipment means easier reconfiguration to meet changing demands and new product introductions. Our range of solutions can improve your operations with effective material handling control systems and information technology.

Digital Twin in Manufacturing

A Digital Twin, or DT, in manufacturing - also known as a digital replica - is a virtual copy of a real-world component in the manufacturing process. As an enhanced computer model, this digital representation uses inputs from a real-world component. The digital twin mirrors the real component’s status, functionality, and/or interaction with other devices.

Digital Twins allow us to virtualize a factory, production line, individual asset all the way down to sub-asset or even part – all on a computer, tablet or mobile device. Once a DT is created, it "runs" alongside the actual physical asset. The Industrial Internet of Things, or IIoT, data we are getting from the sensors in the physical world can be ingested by the DT to help us see potential problems even earlier, greatly aiding in predictive maintenance strategies.

How Does Digital Twinning Work?

As digital technology continues to evolve, we can make a copy of our environment where we can plan, test and improve - far safer and less expensive than the physical world. This has positive implications that allow manufacturers to consider everything from growth/scale strategies to avoiding profit killing downtime due to maintenance issues. DT relies on quality modeling of the assets and systems being monitored. Although still early, this software is becoming more prevalent. In a perfect world, the DT should be a very close replication of the real physical asset. It should also have the same inputs that the physical asset has - often in real-time - so it has the best chance to catch problems early.

Digital twins can be used in manufacturing in several ways:

  • Improving System Designs: teams in manufacturing use digital twins to plan out and test new production lines. This means they can find potential problems and areas to optimize before they create the physical system, saving time and money. In the same vein, warehouse designs can be planned more easily and effectively with digital twins. Digital twin visualization techniques can make problems much more visible. They also help improve communication within the whole team.

  • Testing New Products: before, teams had to go through a lengthy trial and error process to test manufacturing a new or updated product in an existing system. With digital twins, manufacturers can test out updated configurations while lowering the risk of costly miscalculations. Simulating many different scenarios is faster and easier than physical testing.
  • Monitoring and Preventative Maintenance: manufacturing teams have long been collecting vital information about their machinery, such as humidity, motion, vibration, etc. Now, with IoT connected devices and digital twins, this information can be incorporated into a comprehensive view of a system, complete with real-time data. Outliers, spikes in usage, or unexpected behaviors become easier to notice earlier on. If a problem begins to develop for a component, teams will be aware of it before it has the chance to halt production or become a hazard.
  • Asset Lifecycle Management: using digital twin technology, manufacturers can provide augmented reality (AR) programs to maintenance technicians. Through AR glasses, technicians can view the most up-to-date models of the machine laid over the one in front of them. This ensures they always have the right specs as they need them.

Smart Factory: Artificial Intelligence and Machine Learning

Manufacturing Cell

Openorg uses Artificial Intelligence, Machine Learning and Big Data technologies to its fullest potential, putting data in motion thereby enabling the design of reactive and event driven systems.

Smart Factories, also known as Smart Factories 4.0, have major cuts in unexpected downtime and better design of products as well as improved efficiency and transition times, overall product quality, and worker safety. Artificial Intelligence is the heart of Industry 4.0, delivering more productivity while staying environmentally friendly.

Artificial Intelligence and Machine Learning support production through better product development, smart maintenance, quality improvement and market adaptation.

Integrated Energy Management Automation

Energy Management with or without Artificial Intelligence? That is the question?

Today's world is increasingly dominated by Artificial Intelligence (AI), Machine Learning (ML) and Big Data technologies.

Building new plants, new production lines and new control and monitoring systems without including Artificial Intelligence tools is no longer a recommended option.

Artificial intelligence (AI) makes it possible for machines to learn from experience, adapts to new events and perform human-like tasks. Using these algorithms, machines can be trained to accomplish specific tasks by processing large amounts of data and recognizing patterns in the data.

Without AI it would not be possible to automate the monitoring and control of production lines for the purpose of energy optimization. Without AI, human operators would have to analyze the consumption trends of the various machines to understand the type of optimization to be implemented manually.

Data in motion is a new paradigm that supports collecting a continuous flow of data throughout a plant and processing it in real-time. With analytics applications of all flavors now rooted in ML and AI, event streaming is increasingly important.

What is the most concise definition of event streaming? Real-time data streams flowing from machines, for example, containing events such as device status, energy consumption or alarms. An event streaming platform provides real-time access to this live data. Analytics applications use AI and ML to capture these event streams and then discover patterns in the data which reveal actionable insights.

How many software tools for energy monitoring can you find on the market today? Maybe a few hundred. But what are the differences? Many systems on the market offer energy meters and some HMI-based applications for the visualization of limited time series. Almost all software implements a data collection system that does not operate in real-time, is unable to process an unbounded event stream and has limited capacity. Almost no one offers AI and ML tools, much less on live data streams.

These systems make it very difficult to automate energy optimization and machine control and management processes.

Finally, the most important point to understand is that there is a big difference between a system that offers pure monitoring of machines and energy consumption and instead a system that also allows automatic control of the machines, based on criteria of energy optimization. Without the automation of control actions on the machines, in response to the real-time analysis of energy consumption trends, each software is neither more nor less than a set of reports (plain old ETL and Business Intelligence tool).

The Openorg framework is based on modern Big Data, stream processing and stream analytics tools, operating in real-time on the flow of information from the machines. In this way it is able to process, with AI and ML algorithms, a huge amount of data in real-time, collected from each production cell in the plant, to check, in a holistic way, the machinery systems based on the energy optimization rules imposed.

Now that we have exposed the real difference between the Openorg solution and other energy management software, we can move on to the marketing slogans ....

Flexible Manufacturing System

If your goal is to reduce energy costs while remaining compliant with statutory requirements, an end-to-end energy management is essential for industrial production. Openorg Energy Management offers you a comprehensive, scalable portfolio of microservices and applications - ranging from field-level to company-wide energy analysis and management.


  • energetically evaluate technological processes and plants
  • optimize energy procurement
  • meet legal requirements for monitoring and reporting of greenhouse gas (CO2) emissions
  • avoid the peak loads in industrial applications and to distribute loads smoothly
  • assign energy consumptions to the relevant consumers or cost centers, and identify why changes have occurred

Openorg Energy Management helps you not only reduce energy costs but also increase the overall productivity and efficiency of your processes, linking energy and production data.

Openorg AI and ML algorithms allow you to know:

  • how much energy it requires to produce a certain product
  • which line can be used most efficiently
  • why two comparable lines consume different amounts of energy
  • many more ...

Energy utilities companies typically offer reduced tariffs for constant, predictable demand profiles. Through contracts with limited peak loads, companies can optimize their consumption and reduce their energy costs. However, any violation of the specified peak load limits results in penalties and surcharges. Openorg AI and ML microservices, allow you ensure that peak load limits are not exceeded - and do so in a fully automatic manner. The power demand limit can be adjusted during runtime and can therefore be tailored to variable tariffs.

Business Automation

Openorg Business Automation is designed from the ground up to allow organizations to transition to the organizational-level construct that Gartner called the Composable Enterprise or Composable Bunsiness.

A composable enterprise is an organization that can innovate and adapt to changing business needs through the assembly and combination of Packaged Business Capabilities, or PBC.

Delivering the composable enterprise will require much deeper collaboration between IT and OT. This will blur the boundaries between business and IT.

One the most important aspects of the composable enterprise is an application architecture that enables the assembly and dynamic reassembly of PBCs. Openorg offers this type of Service Mesh Ecosystem.

Flexible Manufacturing System

Business Process as a Service - BPaaS

Openorg Business Automation can be used as a BPaaS framework to allow companies to offer business process outsourcing (BPO) delivered based on a cloud services model.

BPaaS is connected to other services, including SaaS, PaaS and IaaS, and is fully configurable. BPaaS provides companies with the resources, processes and technology they need to operate as a pay-per-use service by making use of the availability and efficiency of a cloud-based system.

This approach to operations greatly reduces total cost of ownership by providing an on-demand solution based on services needed as opposed to purchasing a package deal tied into a single application.

BPaaS keeps companies in lockstep with industry best practices and technology advancements.

Companies can also easily increase service levels during peak periods and bring new products and services to market faster with BPaaS’s unique operating flexibility and agility.

Use Cases

We ran use cases with different automation brands. Openorg provides a unified device data layer for seamless integration and communication across thousands of third-party devices. Specifically, their data must become available as a trusted, unified dataset regardless of manufacturer and model. Openorg collects the complex data from devices and automatically unifies it. This means that from a data point of view all devices look the same and their data is immediately useful for controlling and monitoring. Openorg provides Finite-State Machine as a Service for edge-driven machines or hybrid cloud and edge control.


We believe the Pareto Principle, which states that 80% of consequences come from 20% of the causes.


Connected Devices

Hours Of Support

Data Traffic to Date TB

Flexible Manufacturing System

A microservice for every need

No more painful integrations.

Openorg microservices are perfectly integrated with each other, allowing you to fully automate your business processes and gather the savings and benefits.

Our app ecosystem work seamlessly together - giving you the ability to automate and track everything you do - centralized, online, and accessible from anywhere with any device.

  • All
  • Manufacturing
  • Supply Chain
  • Project
  • Finance and Controlling
  • Marketing and Sales
Warehouse and Logistic Management

Warehouse and Logistic Management

Waste in warehousing processes represents tremendous savings potential and thus it should and can, using the right Lean tools, be identified and minimised. While in most warehouse services picking activities generate more than 55% of the costs, Lean principles, Kaizen methods, and re-engineering approaches can be applied in every step of warehouse management. The right Lean Solutions can improve product quality, reduce lead-time and reduce working capital.

Professional Services Automation

Professional Services Automation, or PSA

Openorg's Professional Services Automation, solution provides a comprehensive, end-to-end PSA system that supports an entire services business with a single, cloud-based suite. From project and resource management to time and expense tracking, project accounting and billing and invoicing, the system helps organizations complete projects quickly and profitably, generate invoices accurately and efficiently and shrink accounts receivable cycles.

Financial and Accounting Management

Financial and Accounting Management

Flexible Chart of Accounts, Reporting and Posting based on Type and Class.

Automated GL posting for Invoices, Payments, Balance Accounts, Assets, Production, etc...

Payment and GL Reconciliation, Bank Payments, Online Payments.

Balance Sheet, Income, Cash Flow, Equity Statements. Financial Ratios and Other Reports.

Project and Portfolio Management

Project and Portfolio Management

Increase project success through collaborative planning among team members and project managers.

Simplified scheduling. Plan projects faster and easier with intuitive scheduling tools for project managers.

Resource management, task management.

Project financials and project contract billing.

Time and labor for projects.

Grants management.

Enterprise Asset Management

Enterprise Asset Management, or EAM

Enterprise asset management, or EAM, is a software system used to maintain and control operational assets and equipment. The aim is to optimize the quality and utilization of assets throughout their lifecycle, increase productive uptime and reduce operational costs.

Enterprise asset management involves work management, asset maintenance, planning and scheduling.

In the Internet of Things (IoT) era — with everything from equipment to vehicles connected by sensors and systems - practitioners are incorporating advanced analytics and artificial intelligence (AI) into EAM.

Data gathered from instrumented assets is analyzed using AI&ML techniques. The resulting insights help maintenance teams make better decisions, enhance efficiency, perform preventive maintenance and maximize investments in their physical assets.

Lean Manufacturing and Operations

Lean Manufacturing and Operations

Make your production processes efficient with little or no type of muda (waste), thus making the operations only consisting of value adding steps from start to finish, as can be seen in a value stream map.

Marketing and Sales

Marketing and Sales

Sales automation eliminates repetitive, manual tasks and automates them to allow you and your sales team to focus more on closing sales and getting paid.

With sales automation tools, you can:

- Automate follow-ups.

- Manage your sales pipeline.

- Easily train new sales team members with a repeatable and scalable system.

- Send invoices and payment reminders to clients to get paid without the awkward conversations.

- When combined with marketing automation, your sales automation software becomes an even more powerful tool that allows you to win more time back while growing your business.

- Integrating Sales Automation into a CRM.

- Automated Sales Funnels.


Product Lifecycle Management, or PLM

Accelerate innovation and new product introduction.

Build an innovation pipeline that is fueled by a steady stream of high-value ideas that can be translated into profitable offerings.

Manage and coordinate your product development data and processes to accelerate time to market while balancing cost, quality, and compliance.

Rapidly commercialize products with synchronized manufacturing across global manufacturing sites, and partners.

Maintenance Management

Maintenance Management

A Holistic integrated approach to preventive and predictive maintenance.

Asset management.

Maintenance work execution.

Maintenance scheduling.

Work order costing. Spare parts inventory and parts procurement.

Smart machine integration.

Enterprise Performance Management

Enterprise Performance Managament

- Enterprise Performance Management, or EPM, includes the following management processes:

- Budgeting, planning, forecasting.

- Modeling the value creation of a company.

- Consolidation of the results.

- Performance analysis.

- Key Performance Indicators - KPIs, such as sales, overhead and operating costs as well as the Return on Investment - ROI are used for planning, measuring and analyzing performance.



Enrich your customers’ digital shopping experience with a unified e-commerce solution that leverages data from your CRM and back-office systems. Openorg B2C drives conversions and loyalty whenever and wherever your shoppers want to engage with your brand.

Procurement Managament

Procurement Management

Fully automated procure to pay processes.

Manage Suppliers.

Purchase Orders for inventory, equipment, supplies.

Receiving and Warehouse Management.

Accounts Payable


For the Full Lifecycle of Your Business.

While the software provides the platform you need to grow, your services partner enables the transformation of your business.

Business Process Re-Engineering

Business Process Re-Engineering

Business process re-engineering, or BPR, is the consulting service for organizational change, for changing the major organization’s functions with the goal of increasing efficiency, improving product quality, and/or decreasing costs. This starts with an in-depth analysis of the business’ workflows and identifying key areas that need improvement. Our BPR specialists facilitate transitions to more standardized processes.

Professional Services

Professional Services

Openorg Professional Services offers consulting and implementation support to help you succeed. Applying deep industry expertise, Openorg Professional Services helps customers implement and customize Openorg soutions for your unique requirements.

Project and Portfolio Management Services

Project and Portfolio Management Services

Project management experts to lead, guide, and deliver your most strategic initiatives while mitigating risks.

Software Engineering Services

Software Engineering Services

Openorg's software engineering services & solutions create custom microservices and applications to drive your business using agile methodology.

Support Services

Support Services

Maintain, Sustain, Optimize: All the Support You’ll Need to Ensure Your Business Success

Training Services

Training Services

Training Services provides a diversity of packages and resources that will empower your users with the knowledge and skills they need to make their jobs easier, increase productivity and optimize your solution.

Get in touch

Connect with an expert

Business case, scope, goals: There is no one-size-fits-all automation strategy.

Explore how you can leverage the power of Factory Automation and Business Automation to drive the value of your operations and business model.

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