Experts in Tensorflow
We are pioneers in the implementation of Machine Learning and Deep Learning with Tensorflow in Spain
Artificial Intelligence (AI) is changing the world, Machine Learning and Deep Learning algorithms open new horizons in the development of AI applications. The AI era is here and it's here to stay.
That is why we have chosen Tensorflow, the library of machine learning and neural networks released by Google, a pioneer in AI, as one of our main tools to apply AI in our projects.
We are a Google partner in Spain. Google released Tensorflow in 2015 as an Open Source tool. Tensorflow was developed by the Machine Learning research team \"Google Brain\" and is used in a multitude of Google products and services such as Gmail or Google Translation. Google offers Tensorflow in Tensor Processing Unit (TPU), a new type of Cloud processors optimized to execute Artificial Intelligence.
We are an AWS partner in Spain. AWS is a pioneer in providing Artificial Intelligence solutions in the Cloud. We have developed Artificial Intelligence projects thanks to the new images for Deep Learning that incorporate Tensorflow and other Open Source libraries of Machine Learning such as MXNet. In addition, AWS offers instances with specific GPUs for Artificial Intelligence tasks, which require massive parallel processing and high performance
Thanks to innovative technologies such as Tensorflow, AI applied to business is now a reality. It is estimated that by 2021, 70% of companies will use AI technologies.
The applications are extraordinary, from the recognition of images and voice to the development of conversational bots. We can recognize patterns, classify, recommend or predict based on the data.
Look at our use cases and the successful projects that we have developed with AI and Big Data.
Abstraction
Flexibility, infrastructure and configuration by hand
R & D projects or that require advanced parameterization of models. Very specialized profiles.
Scalability, No-ops managed service
Train our own models and put them fast in production. Use of Cloud services to streamline the work of data scientists.
Pre-trained models
We will achieve much faster developments, with less effort, integrating AI capabilities in our applications through APIs.
R & D projects or that require advanced parameterization of models. Very specialized profiles.
Train our own models and put them fast in production. Use of Cloud services to streamline the work of data scientists.
We will achieve much faster developments, with less effort, integrating AI capabilities in our applications through APIs.
Abstraction
