Data Reply provides solution on AWS Data & Analytics stack and ML stack. We build valuable data products starting from raw data sources and we provide a strong expertise in building machine learning and AI models on the AWS platform. Thanks to the multiple projects up and running in the AWS cloud environment and to a team with 50+ AWS certifications, we have built a deep experience in designing, implementing, and managing Data and ML applications on the AWS platform.

We support our customers in collecting, storing, governing, and analyzing data at any scale, helping them evaluating and using the right tools and best practices to develop innovative ML and AI algorithms and make the most from their data.



Quantum Computing

Case Study

Quantum inspired algorithms for Enel

Data Reply has developed a quantum algorithm that allows you to quickly plan the maintenance work performed by units operating throughout Italy. The solution also makes the use of resources more efficient, thus reducing costs. This algorithm brings added value to Enel's business by supporting the multinational in its decision-making process, with a high impact on planned daily activities

Quantum inspired algorithms
for Enel


News & Communication

Data Reply Achieves AWS Machine Learning Competency Status

Data Reply, specialized in the design and implementation of advanced analytics and AI-powered data services, announced today that it has achieved Amazon Web Services (AWS) Machine Learning (ML) Competency status. This designation recognizes Data Reply for enabling data scientists and ML practitioners with tools to take their data, train predictive models and make predictions on new data.

machine learning

Case Study

Guarantee the quality of the grinding process

Lavazza chose Amazon Web Services as its cloud platform and Reply, AWS Premier Consulting Partner, to support them in the adoption of machine learning models on AWS. Lavazza worked with Reply to design a product which could fit their needs to predict the results of the tests performed on the production line to guide their operator’s activities.

AWS Cloud

Case Study

Getting Cloud and ML into the DNA of Nexi

Data Reply enabled Data Analysis and Machine Learning on AWS Cloud for Nexi, the largest Italian PayTech Company, bringing quantity and quality of data and leveraging Artificial intelligence-based technologies, resulting in major impacts in customer’s capabilities in areas like Fraud, Risk Management, Marketing and Operations, in a safe and compliant way.

Getting Cloud and ML
into the DNA of Nexi 0


Best Practice

Journey to a Highly Scalable datalake

Data Reply built a cloud datalake on AWS for a large German automotive company, replacing an on-premises solution and leveraging serverless technologies wherever possible. The datalake provides reliable, flexible and cost-efficient analysis capabilities and collects data from all over the organization.

Journey to a Highly Scalable datalake 0

17.06.2020 / Fully Digital


Aws Summit Online 2020

Join the AWS Summit 2020 the new fully Online Edition. Hear about the latest trends in cloud during the Opening Keynote of Werner Vogels, CTO by, and dive deep in 55 breakout sessions across 11 track. Meet REPLY at the Virtual Booth and discover the latest expertise on AWS Technology about: Machine Learning & Artificial Intelligence, Big Data, IoT and Industrial Software.

15.05.2020 / Italian Language


MLOPS: handle Machine Learning in production with AWS

In this webinar Data Reply illustrated which are the challenges of taking a machine learning model in production and how MLOps principles can be applied to solve them in a real business case scenario.

Sports Company

Best Practice

Starting the data-driven journey with AWS

Data Reply helped a sports company to advance the Data Analytics journey with the custom AWS Cloud-native Big Data Platform. The project increased flexibility and efficiency across all analytics workloads, including Data Science use cases as well as Data Engineering needs.

Starting the data-driven journey with AWS 0

Validation Framework

Best Practice

We heroes portal

The service designed to boost your brand’s impact. Now more than ever, we are committed to help essential workers who are making a difference giving them a fast and reliable access to daily benefits.

We heroes portal


News & Communication

The new Italian Aws Region

With the launch of the new AWS Region, placed within the Italian national territory, a set of major benefits may be leveraged by companies and institutions. First of all, a series of regulation and organizational constraints regarding the cloud adoption, are accomplished with costs comparable to those of other European regions.

05.05.2020 / English Language


Let's Make a Chatbot

During this Webinar Data Reply used Amazon Web Services to build a chatbot experimenting and connecting with different technologies to demonstrate the potential a chatbot could bring to your business.

Data Science

Best Practice

Data streams: In the right place at the right time

To make it possible for all departments of a large telecommunications provider to efficiently use the multitude of data that reaches, travels through or leaves the organisation every day, the company has been using the data streaming approach for some time now.

Data streams In the right place at the right time 0
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    Data Reply is the Reply group company offering a broad range of advanced analytics and AI-powered data services. We operate across different industries and business functions, working directly with executive level professionals and Chief Officers enabling them to achieve meaningful outcomes through effective use of data.

    We have a consolidated experience in designing and building cloud solutions: we support companies with either lift-and-shift solutions and with cloud native architectures. We help our customers in developing and adopting holistic Big Data architectures and implementing ML and AI models in a manner that is repeatable, efficient, scalable, simple and yet secure. We supports companies in combinatorial optimization processes with Quantum and Accelerated Computing techniques that enable an engine with high computational performances.