Digitization: your essential building block to your Factory of the Future.
Reduce risks of implementing new process and lower operating cost.
Go to market faster with automated processes and optimized operations.
Share data in real time across global locations.
Improve quality through digitized process that eliminate translations and interpretations.
Democratize innovation by enabling workforce to access digitally available information.
With a structured phase approach of understanding your current framework at different levels, we’ll suggest the right digitization activities that increase efficiency.
With our industry experts supporting you through the entire process, effectively manage your implementation and pick and choose the delivery model that fits your need.
We’ll help you conduct regular benefit evaluations to ensure your goals are being met and the deployment is successful.
Continuous real time feedback through sensors.
AXISCADES offers fully managed IIoT platform through strategic partnership that lets you securely connect and process any scale of data. It provides the ability to analyse and visualize this data in real-time, integrate data into your business applications and rapidly make operational decisions which eventually increase productivity.
Read More →
Smart services are nothing but business models enabled by M2M capabilities. The wireless controlling
& monitoring capability allows you to develop interactive networks that are more intelligent,
resilient, reliable, and self-balancing.
AXISCADES provides services inside the M2M framework.
AXISCADES can support with tailored digital twin models for any process or systems towards optimizing operation decisions & profitability.
In this increasingly digitized world, the amount of data generated is growing at an exponential rate. All businesses are facing challenges in managing and making sense of this massive data and are seeking best practices to handle data meaningfully.
AXISCADES can manage Big Data services, End to End ownership of services.
Migration of existing Big Data components to process specific versions.
Customizing the Big Data Infrastructure to requirements.
System optimization by running data-cleansing and simplifying data architecture.
Manufacturers need to solve problems involving huge data-sets or complex calculations, which in-turn drives design, manufacturing and operational efficiencies
Read More →
Range of domain knowledge to teach relevant software and build custom models.
Experience in the field will help improve end-user experience gag Modeler.
Runs experimental trials to build models to meet project requirements.
Uses techniques on Data analytics, ML/DL model and to furthur develop Al models with help from domain expert.
Works on establishing the infrastructure for the data, mainly related to pre-processing of data for
Works closely with Modeler to transform models in to production quality systems.
PoC's which includes
gathering the content and model training with the application.
Focus on building the platform for the end-user.
Responsible for transfer of requirements to products.
Augmented and Virtual