The Era of AI

Through rapid innovation, Redington & AWS is delivering a comprehensive suite of powerful generative AI solutions to drive customer innovation at every stack layer.

AI Horizon: Envisioning the future

We empower every partner to lead with Gen.AI. Leverage the power of generative Al to create innovative solutions for various segments by offering plug & play or customized solutions. Our aim is to educate and empower every engaged partner and their customers on the benefits and best practices of GEN Al and its effective adoption.

Generative AI unleashed


Easiest way to build


Differentiate with your data


Increase productivity


Most performant, low cost

Redington and AWS:
Shaping Tomorrow

At Redington and AWS, we enable every partner to excel in generative AI, driving innovation and progress across industries. With tailored solutions and unwavering support, we champion advancement, shaping a limitless future of brilliance.

Innovate with Us

Partnering with experts like Redington for implementing generative AI solutions ensures seamless integration, accelerated adoption, risk mitigation, and optimized processes. Read more


Emerging generative AI practice requires expert support for strategy deployment.

Evolving technology:

We guide customers & Channel partner through changing generative AI trends for better strategies, correct offering, use case to ease implementation

Capacity Bottleneck:

There is a growing demand from customers for specialized hands-on support that goes beyond our internal AWS capacity. Our partners are well-equipped to meet this need

Plug & Play Industry focused solutions:

We invest in building ready-to-use industry-ready generative AI solutions for quick & efficient deployment.

Intelligent Insights

Voices of Innovation

We are proud to introduce Red.Al, our groundbreaking initiative that positions Redington as the distributor of choice for generative AI solutions. Through this collaboration with AWS, we aim to create an ecosystem where every partner can lead with GenAI, offering innovative solutions to diverse segments including Education Tech, Government, and Healthcare.
- Rakshit Bhatt, Head, Cloud Business Group, Redington Limited
With the launch of, powered by AWS, Redington is at the forefront of the generative AI revolution. We are dedicated to providing cutting-edge solutions that help our partners lead in innovation and impact in fields like Education Tech, Government, and Healthcare. is designed to minimize tech friction, facilitating easier and faster AI implementation.
- Abhishek Barua, Redington

Our Expertise

Frequently Asked Questions

What is Amazon Bedrock?

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) along with a broad set of capabilities that you need to build generative AI applications, simplifying development with security, privacy, and responsible AI. With the comprehensive capabilities of Amazon Bedrock, you can experiment with a variety of top FMs, customize them privately with your data using techniques such as fine-tuning and retrieval-augmented generation (RAG), and create managed agents that execute complex business tasks—from booking travel and processing insurance claims to creating ad campaigns and managing inventory—all without writing any code. Since Amazon Bedrock is serverless, you don't have to manage any infrastructure, and you can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with.

What is Amazon Q Business?

Amazon Q Business is a fully managed service that deploys a generative AI business expert for your enterprise data. It comes with a built-in user interface, where users ask complex questions in natural language, create or compare documents, generate document summaries, and interact with their third-party applications.

Why should I use Amazon Bedrock?

There are five reasons to use Amazon Bedrock for building generative AI applications.

  • Choice of leading FMs: Amazon Bedrock offers an easy-to-use developer experience to work with a broad range of high-performing FMs from Amazon and leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, and Stability AI. You can quickly experiment with a variety of FMs in the playground, and use a single API for inference regardless of the models you choose, giving you the flexibility to use FMs from different providers and keep up to date with the latest model versions with minimal code changes.
  • Easy model customization with your data: Privately customize FMs with your own data through a visual interface without writing any code. Simply select the training and validation data sets stored in Amazon Simple Storage Service (Amazon S3) and, if required, adjust the hyperparameters to achieve the best possible model performance.
  • Fully managed agents that can invoke APIs dynamically to execute tasks: Build agents that execute complex business tasks—from booking travel and processing insurance claims to creating ad campaigns, preparing tax filings, and managing your inventory—by dynamically calling your company systems and APIs. Fully managed agents for Amazon Bedrock extend the reasoning capabilities of FMs to break down tasks, create an orchestration plan, and execute it.
  • Native support for RAG to extend the power of FMs with proprietary data: With Knowledge Bases for Amazon Bedrock, you can securely connect FMs to your data sources for retrieval augmentation—from within the managed service—extending the FM’s already powerful capabilities and making it more knowledgeable about your specific domain and organization.
  • Data security and compliance certifications: Amazon Bedrock offers several capabilities to support security and privacy requirements. Amazon Bedrock is in scope for common compliance standards such as Service and Organization Control (SOC), International Organization for Standardization (ISO), is Health Insurance Portability and Accountability Act (HIPAA) eligible, and customers can use Amazon Bedrock in compliance with the General Data Protection Regulation (GDPR). Amazon Bedrock is CSA Security Trust Assurance and Risk (STAR) Level 2 certified, which validates the use of best practices and the security posture of AWS cloud offerings. With Amazon Bedrock, your content is not used to improve the base models and is not shared with any model providers. Your data in Amazon Bedrock is always encrypted in transit and at rest, and you can optionally encrypt the data using your own keys. You can use AWS PrivateLink with Amazon Bedrock to establish private connectivity between your FMs and your Amazon Virtual Private Cloud (Amazon VPC) without exposing your traffic to the Internet.

How can I get started with Amazon Bedrock?

With the serverless experience of Amazon Bedrock, you can quickly get started. Navigate to Amazon Bedrock in the AWS Management Console and try out the FMs in the playground. You can also create an agent and test it in the console. Once you’ve identified your use case, you can easily integrate the FMs into your applications using AWS tools without having to manage any infrastructure.

How does Amazon Bedrock work with other services?

Amazon Bedrock works with AWS Lambda for invoking actions, Amazon S3 for training and validation data, and Amazon CloudWatch for tracking metrics.

What are the most common use cases for Amazon Bedrock?

You can quickly get started with use cases:

  • Create new pieces of original content, such as short stories, essays, social media posts, and web page copy.
  • Search, find, and synthesize information to answer questions from a large corpus of data.
  • Create realistic and artistic images of various subjects, environments, and scenes from language prompts.
  • Help customers find what they’re looking for with more relevant and contextual product recommendations than word matching.
  • Get a summary of textual content such as articles, blog posts, books, and documents to get the gist without having to read the full content.

Explore more generative AI use cases.

How do I customize a model on Amazon Bedrock?

You can easily fine-tune FMs on Amazon Bedrock. To get started, provide the training and validation dataset, configure hyperparameters (epochs, batch size, learning rate, warmup steps) and submit the job. Within a couple of hours, your fine-tuned model can be accessed with the same API (InvokeModel).

How do I manage Amazon Q Business to my workforce users?

You can securely connect your workforce to Amazon Q Business applications and centrally manage workforce access using AWS IAM Identity Center. IAM Identity Center is built on top of AWS Identity and Access Management (IAM) to simplify access management to multiple AWS accounts, AWS applications, and other SAML-enabled cloud applications. In IAM Identity Center, you create, or connect, your workforce users for use across AWS. You can choose to manage access just to your AWS accounts, just to your cloud applications, or to both. You can create users directly in IAM Identity Center, or you can bring them from your existing workforce directory. With IAM Identity Center, you get a unified administration experience to define, customize, and assign fine-grained access. Your workforce users get a user portal to access their assigned AWS accounts or cloud applications.

How do I ensure that my users receive the appropriate level of information through Amazon Q Business based on their user permissions?

Amazon Q Business helps administrators define the boundary of its capabilities through configurable controls. Amazon Q Business provides fine-grained security by managing enterprise access and access control list (ACL) permissions. When a user asks Amazon Q Business a question, it analyzes the data in the enterprise systems and generates responses only from the content that the user has access to.

How does Amazon Q Business handle security and ensure that responses are based on provided enterprise data only?

Amazon Q Business supports access control for your data so that users have access to the right content based on their permissions. You can integrate your Amazon Q Business web experience with your external SAML 2.0–supported identity provider (such as Okta, Azure AD, and Ping Identity) to manage user authentication and authorization.

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