The perfect answer to the current challenges of manufacturing companies worldwide related to the optimization of processes through decentralization and digitalisation is derived from the paradigm I4.0 / Smart Factory.

Platform  |   BiRD\Vision platform

Unique platform for implementation of the I4.0 /Smart Factory concept in each  production company

  • on existing machines
  • with the existing information system
  • no need for special ICT experts











Processes and resources in virtual environment are a complete copy of actual processes in shop floor. One tool for digitalisation of all processes.





Reduction of total production costs for 12-16%.





Automated optimization of production plans according to the selected criteria (production time, costs, ...).

Real-time update of production plans considering all significant changes (new urgent orders, machine failures, delivery delays - building parts, -materials, ...).




DESIGN OF CPOs (Cyber-Physical Objects) AND CPSs (Cyber-Physical Systems).

CPOs transform passive production means into a crowd of production cells that make up the Intelligent Objects Network (CPS), thus making the whole enterprise a proactive system, which is essential for the introduction of the I4.0 concept.

Features  |   BiRD\Vision platform features

Platform characteristics


  • Platform bases on processes in production - design of a complete copy of production (shop floor) in virtual environment with all
    • Basic processes, sub-processes and supporting processes in corresponding context and
    • All resources and abilities
  •  The core of the platform are mathematical and bionic algorithms that allows to integrate all stakeholders in proper context and efficiently employ Artificial Intelligence.
  • Easy to use - managing of all changes (process, resource and process parameters) is simple; user manages the changes by themselves

Platform features

Automated finishing of detailed production plans






 Providing key data for process optimisation















Predictions (artificial intelligence)






  • Automated production planning with advanced mathematical and bionic algorithms for process optimisation according to selected criteria
  • Planning of all resources in production processes
    • Basic processes
    • Sub processes (serial control, logistics of materials and products, …)
    • Supporting processes (preparing of machines, preparing of tools, …)


  • The software takes into account all resources that enter individual processes, and all available production parameters
  • Cost calculations by individual processes and sub processes - detailed analysis of all sub-processes
    • a thorough review of the use of resources
    • the effectiveness of various combinations of resources
    • detection of instability of individual resources - large fluctuations
    • the influence of individual parameters on process results
    • detection of resource combinations and accompanying parameters that reduce production efficiency
  • Bottle neck detection


  • Simulation of new orders (inquiries)
    • Cost-effectiveness of production in new conditions
    • Impact on capacity utilization and delivery times
  • Simulation o procurement of new production capacities or recruitment of certain personne


  • Predicting orders and resource requirements
  • Predicting possible stops and errors (Intelligent Maintenance)


  • Complete traceability (batch, product - depending on existing identification capabilities)
  • Easy to use DMC code or any identification - no additional tool for collecting and retrieving process data is require
  • In case of using any UID (Unique Identification Marking) platform enables, each product /component to become smart

Team & RP  |   BiRD\Vision team and reference projects

We are a team of experienced specialists; most of us have been working for more than two decades in the field of designing solutions for informatization of processes in production enterprises. We have experience with a wide range of solutions for monitoring, documenting and optimizing of processes.


In the past we worked together on various projects, we designed and implemented various solutions in various project teams in the most regulated industries, like pharmacy.


The basis for the re-union and upgrade of the team is a comprehensive and complex project, which we successfully completed a decade ago. It was a special challenge, also in terms of available resources and a very limited time. In this urgency, we had to develop a path that was non-standard for the industry and turned out to be much more efficient and more powerful than any other on the market.

Our Team


Software development,







Artificial intelligence,


Software architecture







Software architecture

Data science



Market development,






Software development,

Hardware integration



Optimization, Research, Artificial Intelligence




Reference projects of the team

Start Up  |   BiRD\Vision start up

Universal platform - developed and ready for implementation.


First commercial integration - ongoing and projected for second half of 2019.


Testing the market - three letters of intent already signed.

BiRD\Vision Letter Of Intent



BiRD\Vision Letter Of Intent - Intectiv d.o.o.



BiRD\Vision Letter Of Intent - Reseda d.o.o.



Basis  |  Unique approach

CPS Developer

CPS Optimizer

Business Predictor

It enables the development of business processes based on our model Actiom, which fully involves all stakeholders: materials (specification), people, equipment, premises and their roles/abilities. The model also defines the time complexity and financial value of individual resources within the process. The processes are fully described in conjunction with all accompanying (prior, subsequent) activities.


This description therefore enables the simulation of processes in a virtual environment before the execution order to determine the feasibility and a very precise time and financial assessment of the processes.


Single operations can also be connected to the Actiom with the corresponding types of documents in the ERP system; this allows automatic creation of all relevant documents that accompany the processes.

It carries out automatic planning and optimization of production processes. The goal of the optimization can be maximal profit, fulfillment of the largest proportion of orders, minimal resource utilization, minimal environmental impacts (or even weighted multiplier combinations). Optimization is carried out in real time, and it also enables real-time adjustment (re-planning) during production (priority orders).


The optimization algorithm based on the developed processes selects the most suitable resources, integrates and reserves them, defines the time for the implementation of individual operations, includes all  necessary preliminary and subsequent operations (preparation, cleaning, ...), calculates the production cost at the level of each batch and prepares a schedule of activities for each resource (people, machines / equipment, premises, materials). Thus, it is possible to "look into the future" concerning the state in production.


The optimizer can also provide optimal and timely delivery of all resources: materials (orders to suppliers), people (inclusion of additional staff) and other resources (just-in-time production).

It carries out a forecast (prediction) of future customer orders and quality dependencies of each product series with respect to all possible stakeholders (type of input materials, equipment used, staff, etc.).


On the basis of the forecast, the predictor provides much more reliable and long-term planning of production and required resources: materials, people and other. The prediction is performed by artificial intelligence on the basis of determining patterns of prior client orders in connection to internal and external factors that can affect ordering (weather, holidays, days of the week, season, price movements of certain raw materials, mutual agreements, etc.).


The reliability of the forecast increases with time and, after a certain period of time, it is very close to the real customer orders: 85-95%. This also enables a "look into the future" as far as the status of customer orders is concerned. The use of the prediction is a very effective tool for production planning and supply of the suppliers, as they are informed in advance about the anticipated needs with the same high reliability.



System Integrator

Smart Integrator

Business Assistant

The system integrator takes care of the connection between the company information system (IS) and the BiRD\Vision platform.


The communication is two-way: the integrator in the IS monitors and retrieves data about stakeholders, customer orders, orders to suppliers, inventories and into IS transfers data into work orders, orders to suppliers, reservations and other documents accompanying the process.


This way BiRD\Vision ensures that the majority of the documentation work is done in the ERP system automatically.

Smart Integrator connects a contextual level that defines processes (what is produced) with a production level that defines the implementation method (how it is done). Integrator provides a two-way communication between smart (I4.0) devices in production and individual processes.


Thus, the devices have the option of automatically registering and organizing the implementation according to the tendered processes and sending the data (related to the execution of processes) indirectly back to the information system (ERP). This communication also provides real time accurate monitoring of production as well as immediate possible modification or adaptation of production to new requirements.

It provides visualization, analytics, prediction and thus complete control and assistance in the development, planning, implementation and analysis of processes.


The interactive concept of smart panels shows in a very compact way the most important interdependencies and reveals the key causes for the selected target parameters. The Business Assistant is actually a live assistant to the management and technical managers.


Business Assistant acquires business data (internal and external) and production level data.

CPO Establisher

CPS Conductor

Maintenance Predictor

The CPO Establisher can upgrade any device, part of the equipment, material, location or even the human being to the Cyber Phisycal Object (CPO). As a CPO each stakeholder of the process becomes autonomous, proactive and horizontally interconnected. Thus CPOs recognize each other during the process: the machine recognizes the material or another machine and the person, the material and the equipment can communicate, etc. Such communication enables complete control over the execution of the process, exchange of possible warnings and prevents errors.


Each CPO has information about the implementation of the activity according to the assigned roles (abilities). Since it is also vertically connected (with other systems), so CPO can on this basis apply themselves to tendered processes.


The CPO as an autonomous process participant ¨also knows¨ about the data that relates to availability, capacity, consumption, and others. On this basis the optimal implementation of processes can be planned very carefully. CPOs are collecting data (process parameters) for their activities throughout the operation, thus ensuring complete traceability and further processing of these data in the context of business and artificial intelligence.

Allows Cyber Phisycal Objects (CPOs) to merge into higher instances - Cyber Phisycal System (CPS). Such a process for example combines certain people, machines and locations into a workstation, several stations into a plant, establishments in business units, ... This establishes a hierarchy of systems that communicate with one another horizontally (on the same level) and vertically (down or up by hierarchy).


Horizontally workstations, plants and business units are interconnected. This way larger systems communicate and organize themselves similar like CPOs on micro level.


Since CPSs also communicate vertically they can for example inside/down (within the plant or entire business unit) check the feasibility of the order. Similarly they can receive orders from above/outside  and they report back about the feasibility and the activities performed.


Such an organization allows the development, planning and review of implementation at different levels: at the micro level of elementary CPOs, at the level of work stations, at the level of departments, businesses or entire business units.


As Cyber Objects, they can connect to a certain (higher) CPSs level in the cloud, which allows the partners to communicate with them. Thus the connection across the entire value chain is secured.

Predictor summarizes process data on performed activities and with the help of artificial intelligence links them with targeted events. Target events may be negative (failures, poor performance, product mismatch ...) or positive (high productivity, excellent product quality ...).


Based on discovered links between implementation data and targeted events, the unwanted events can be prevented even before they occur and positive events can be multiplied.


For example, with a high probability we predict a failure and prevent it, avoid manufacturing errors and choose combinations of inputs that deliver the best results.


The identified patterns also significantly contribute to discover the reasons for the possible deterioration in the quality of products / services.

CPS Performer

Later, at the execution it provides full traceability (materials, process duration, conditions at implementation, process parameters of machines ...) and automatic optimization and (re) planning based on received orders.


Full traceability in terms of materials, used machines, included personnel and based on artificial and business intelligence enables a high-quality analysis of the dependence of the quality of each product series with regard to all influential factors.

Technologies  |  Implemented technologies

CPO - Cyber Physical Objects

CPO‘s are socialized production units which communicate vertically as well as horizontally.


The devices are alive and establish a completely integrated manufacturing level, since they recognize one another and communicate.

CPO's are core of the Platform and enable BiRD\Vision to upgrade any object (people, places, materials, machines, products etc.) with at least basic sensoric or identification capability into a full Smart Object, which can ‘see’ and be integrated into business processes and carry out individual activities according to defined abilities and availability.

Internet Of Things


Big Data

Autonomous Robots

Additive Manufacturing


System Integration

Cloud Computing

Contact  | Get in touch with us.

Birdvision d.o.o.




BIRDVISION, informacijske tehnologije, d. o. o.

Osojnikova cesta 3,

SI-2250 Ptuj


VAT ID: 11929308

VAT ID: 11929308


IBAN: SI56 6100 0001 9204 213