Our projects are splitted in steps to verify the intermediate results at any time, from initial Proof-Of-Concept to Production
We always start from a technical analysis to check what is applicable and which could be the predicted results.
Made on the customer’s specific request to proof the feasibility of the solution and to set the right expectation.
We are focused on mathematically hard problems: usually our solutions represent a significant step forward if compared with the traditional approaches.
Going in production we help our customers to choose the right hardware and the right environment with scalability in mind.
Learn the latest techniques on how to design, train, and deploy Artificial Intelligence applications based on Machine Learning and Deep Learning.
As Certified NVIDIA DLI Instructors we provide specific training on NVIDIA systems and frameworks: DGX-1, Digits, Drive PX2, DriveWorks.
We develop custom trainings based on the main Deep Learning Frameworks: TensorFlow, Torch7, Caffe, Neon.
Data Analysis trainings: Python, Numpy, Pandas
Artificial Intelligence and Deep Learning require specific system performance to be put effectively in production. We test and benchmark our algorithms and provide a detailed advice to our customer on the possible choices that can be made: Software As A Service (SAAS) or On-Premises.