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Reply Expands AWS Collaboration to Advance Generative AI Innovation

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Reply Expands AWS Collaboration to Advance Generative AI Innovation

Reply Expands AWS Collaboration to Advance Generative AI Innovation

Business Wire

Published on : Mar 26, 2025

Reply, a global leader in systems integration and consulting, has announced a multi-year strategic collaboration agreement with Amazon Web Services (AWS) to advance Generative AI (GenAI) innovation. This collaboration aims to provide AI-powered solutions that enhance efficiency, productivity, and scalability across various industries.

Building on a long-standing partnership, Reply and AWS will leverage cutting-edge AI technologies to develop specialized GenAI applications for enterprise transformation.

“Our combined efforts will merge advanced AWS technology with Reply’s AI expertise to deliver transformative solutions for our clients.”

- Filippo Rizzante, CTO, Reply

A Deepening AI Collaboration with AWS

Reply’s AI-driven innovation has consistently evolved through its partnership with AWS. Key milestones include:
AWS Machine Learning Competency (2020) – Recognizing Reply’s expertise in AI/ML solutions.
Amazon Bedrock Early Access (2023) – Gaining a first-mover advantage in serverless GenAI model deployment.
AWS Generative AI Competency (2024) – Among the first companies worldwide to achieve this designation.

By combining AWS’s AI and cloud infrastructure with Reply’s deep industry knowledge, enterprises will benefit from scalable, secure, and AI-driven solutions that accelerate digital transformation.

Driving Industry-Specific AI Transformation

Reply, through its specialized firms Data Reply and Storm Reply, will integrate AWS AI technologies such as:
Amazon SageMaker – Scalable machine learning model training and deployment.
Amazon Bedrock – Serverless foundation model access for AI application development.
Amazon Q – AI-powered search and business intelligence for automated decision-making.

This collaboration will drive AI adoption in key industries, including:

  • Automotive – AI-powered document management and process automation.

  • Financial Services & Insurance (FSI)AI-driven risk assessment and customer engagement.

  • Energy & UtilitiesAI-enabled operational efficiency and cost optimization.

“We’re excited to bring advanced AI technologies to our expanded relationship with Reply, helping customers swiftly and responsibly deploy AI-powered applications.”
- Antonio Alonso Lopez, Director of Partner Management, EMEA, AWS

AI-Powered Solutions for Real-World Use Cases

Reply’s AI solutions address concrete business challenges across multiple sectors, including:
Knowledge Management – AI-powered insights by integrating data from multiple sources.
Operational Efficiency – Automated data processing for HR, finance, and supply chain workflows.
Market Intelligence – AI-driven real-time market data analysis for informed decision-making.

Case Studies: AI in Action

Audi – Storm Reply partnered with Audi to develop an AI-powered document retrieval system, enhancing internal documentation management using Retrieval-Augmented Generation (RAG) chatbots.

Il Sole 24 Ore – The leading Italian publisher worked with Storm Reply and AWS to transform its "L’Esperto Risponde" service. Using Amazon Bedrock, the solution automates expert responses based on a 130,000-document knowledge base, significantly improving response accuracy and speed.

Expanding AI with Anthropic’s Claude Models

Reply is also integrating Anthropic’s Claude models into AWS’s Amazon Bedrock to ensure safe and reliable AI outputs. These advanced LLMs provide:

  • Enhanced contextual accuracy in AI-generated content.

  • Secure data handling for enterprise applications.

  • Improved alignment with business objectives in AI-driven decision-making.

As an AWS Premier Consulting Partner, Reply’s ongoing investment in AI underscores its commitment to driving AI-powered transformation across industries. By combining AWS’s cloud capabilities with Reply’s AI expertise, this collaboration will empower businesses to adopt Generative AI at scale, streamline operations, and drive innovation in an evolving digital economy.