at the source
This radar is designed with one goal in mind – to help us remove the complexity that comes with the implementation of AI applications and to make it easier for teams at Area99 as well as the teams of our clients to build rich and user-engaging AI experiences at scale.
By selecting, benchmarking and evaluating AI technologies and setting a number of engineering best practices, as well as practices for working with data and machine learning operations, we pave the way to accelerated innovation and new discoveries for our clients .
Selection of new technologies could be difficult and is definitely a laborious and time consuming job, that's why we bear the responsibility of making it easier for our clients and our teams to find the right tools when they need it.
The selection of technologies at Area99 is an ongoing daily progress of improvement that is embodied in the testing and intensive evaluation of functionality, performance, reliability, security and scalability of the selected technologies and benchmarking them against the tools in our stack and similar alternatives, as well the elimination of volatile, unstable technologies that don't match our standards and best practices.
These are first class, mostly general purpose, high performing technologies that we tested and experienced for long time, they are key parts to the foundation and DNA of our products and services.
High performance and specialized technologies that are used everyday by most of our teams, they are quite specialized and proven to produce great overall results.
These are well-designed and functionality-dense technologies that we have previously put to the test and used them on and off in our products and services depending on the use case.
These are promising technologies that are mostly used by other startups. We are religiously evaluating them and putting them to the test and we take them in consideration in certain use cases.
Navigating through the radar gives you a glimpse of the technologies we use for AI transformation. It is not a detailed benchmark, but it could be an inspiring experience.
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