Research from 2014 shows that recurring activities have an impact on the mental strain in a negative way, but a positive impact on the work performance. Using ROBOTS, we can easily avoid mental strain and even raise the work performance by using algorithms.
SAIFTY is offering a tailor-made platform for process automation that provides a low-code environment to easily create own process templates that help to automate recurring activities like data management, text extraction. In the same time more complex simulations can be created to search for substitutes and alternative recipes.
A Smart and Connected Industry is Possible When Communication itself is Industrialized.
Utilize pre-defined processes to start automating your processes. Our processes help you extract relevant information from unstructured text like SDS-documents or biozide information. We also support communication along the global supply chain and fulfill major regulatory requirements.
Define and test processes and scale your processes to hundreds or thousands of executions in a second, minute, hour or day. Monitor the activity, interact with data if required, and establish approval processes.
Support your existing processes and connect ROBOTS to your organization's existing interfaces. Automatically load data from, for example, SAP, Microsoft and Salesforce. Turn your data into industry standards.
Start turning your repetitive task into automated processes and save valuable time and money.
Start standardizing your processes and free up working time to deal with future topics.
Start growing internationally or accelerating possibilities when communication and information exchange is not a problem anymore.
Establish a stronger market position by offering unique technological features compared to your competitors.
Take steps to stay ahead of international competition and leverage interactions with suppliers, partners or customers.
Start your digitalization journey now and create a smarter organization that is able to utilize the possibilities of Data Analytics, AI and digital interfaces.
Automatic control of processes by using a network to connect controllers, sensors, operator terminals and actuators. Less time-consuming and repetitive tasks through automation.
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Approach in which software consists of small independent services. This way, even large projects can be split into small units and remain expandable and maintainable for small, independent teams.
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Algorithmic natural language processing as a subcategory of Artificial Intelligence and one of the main use cases of Deep Learning.
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