A intelligent universe of knowledge, tools and experience to confront digital transformation
How and what we can accomplish
We put at your disposal a whole universe of knowledge, tools and experience that will help you to push the digital culture inside your industry, making a base pilar of its competitiviness to confront the future with warranties
Optimization of your
ANALYSIS OF FLOWS, SYSTEMS, AND PROCESSES
The typical workflow in in.tu.in when developing a process engineering project could be summarized as follows:
- Solution analysis
- Preliminary or feasibility study
- Design of the solution in 2D or 3D, in the latter case with advanced software such as SolidWorks for the design of parts and products
- Simulation for validation
- Completion of specifications
- Assistance and direction of project-work
- Processing, certifications
- Search and contracting of suppliers
In each of these steps, we can add value and carry out the necessary work, from within your organization, to get your project completed on time and cost.
Upgrading the core technology of your company
RECAPTURE KNOWLEDGE THROUGH REVERSE ENGINEERING
Sometimes, and generally, in improvement processes, companies are faced with the absence of the original plans, the source code or the electrical diagrams of a system or process. If this is your case, applying testing techniques and empirical tests, we can develop a reverse engineering process to extract knowledge of how the process, the machine or the tool works and thus be able to modify it according to the new needs of your company.
WARRANTY SECURITY FOR PEOPLE AND PROCESSES
A fundamental aspect of any of our solutions is the safety of people and processes. Thanks to the new tools in simulation (we use, for example, state-of-the-art software such as Revit for the 3D design of specific infrastructures or complete industrial buildings) and the industrial safety experience of our parent company, Instra Ingenieros, we have the know-how and the necessary structure to carry out projects of industrial organization, security at machine and process level, fire protection and detection in extreme environments (cold weather, wind turbines, chemical warehouses, oil processing factories or underground industrial silos, for cite some examples).
ENERGY CONSUMPTION REDUCTION
Upgrading core technology of your company
RESEARCH OF NEW TECHNOLOGIES TO OPTIMIZE YOUR PRODUCTION LINES
In in.tu.in we are immersed in a permanent process of continuous improvement so that our team adapts and learns new tools, applications, and processes in an iterative way. Collaborative robotics, AGVs, and AIVs, simulation of logistics processes and storage or software are some of the technologies in which we have been learning and contributing value to our customers over the last two years. Thus, and to mention just a couple of examples, we develop robotic solutions or transport lines (using advanced simulation tools such as KUKA SimPro) and provide personalized responses in the fields of intralogistics and automation (taking advantage of the high performance of Flexim software). ).
TRANSFERENCE TECHNOLOGY INTEGRATED ON YOUR BUSINESS
We look for the most suitable formula so that the tools and technologies that we offer do not hinder the operation of your company. In this way, we seek solutions to achieve the integration of different technologies under a single interface, thus improving the management of different systems and obtaining, at the same time, a greater control of the facilities. In addition, we managed to break the user acceptance barrier by designing the control interfaces directly with you in our work team, thus enabling you to participate and contribute value from the beginning, which allows the platforms to be adapted to the needs of your organization and not the other way around.
Creating disruptive digital strategies for your business
“UTIL” DATA TO INCREASE YOUR COMPETITIVINESS
Every day our solutions capture more than 1MLL of our customers’ data. Part of the value of in.tu.in lies precisely in our ability to analyze such data and look for patterns and behaviors that allow us to predict and improve both systems and processes. Our experience tells us that, in order for the data to add value, they must pass through hands that know how to give them meaning. How do we get it? The secret lies in two key factors: first, knowing thoroughly the operation of machines and people in the operation of a manufacturing or operational process of the company and, second, in having the human resources experts in data modeling.