From code to deployment: Generative AI to transform development on AWS
Generative artificial intelligence is becoming one of the most effective tools for accelerating application development and reinventing key processes within organizations. Beyond the initial hype, companies are beginning to integrate it meaningfully into their work environments—from improving the productivity of technical teams to delivering more agile and personalized experiences.
To make this possible, it’s essential to have a solid architecture, the right tools, and a clear business vision. At Altostratus, as a premier AWS partner, we help organizations adopt this technology in a strategic, secure, and scalable way—from planning to implementation.
A full stack to build solutions with generative AI
AWS offers a robust and modular technology stack that enables the creation, customization, and deployment of generative AI solutions tailored to each business’s needs, with the security and scalability required to grow without friction.
Amazon Bedrock
One of the main challenges companies face when implementing AI solutions is the need to develop models from scratch. Amazon Bedrock removes this barrier by offering access, through a single API, to foundational models from leading providers such as Anthropic, Mistral AI, Meta, Stability AI, and Amazon. These solutions can be easily customized using techniques like retrieval-augmented generation (RAG) or fine-tuning, allowing them to be adapted to specific use cases without the need to train them from the start, significantly reducing development costs and time.
Amazon Q
Amazon Q is a key tool designed to enhance the productivity of developers, analysts, and business teams. Through its various integrations, such as QuickSight and development tools, Amazon Q allows users to generate code, answer technical questions, or automate access to internal information securely.
Optimized Infrastructure
AWS not only offers tools but also provides infrastructure specifically designed for generative AI, such as Trainium and Inferentia chips, and services like Amazon SageMaker to train and deploy models. This combination allows companies to optimize the performance of their workloads with cost control and high performance.
Security and Governance Integrated from the Design
The adoption of generative AI-based solutions requires a rigorous approach to security, privacy, and compliance. AWS incorporates these principles across all layers of the stack, integrating capabilities such as data encryption in transit and at rest, detailed access management through AWS IAM, and full activity traceability via AWS CloudTrail, enabling precise auditing of every interaction with the services.
In addition, AWS ensures that customer-provided data is not used to train foundational models, such as those available in Amazon Bedrock. This clear separation between usage data and models guarantees the confidentiality of information and the protection of intellectual property. This approach is particularly relevant for organizations operating in highly regulated sectors or managing sensitive information, which need to comply with regulations like GDPR.
From strategy to implementation: how Altostratus supports you every step of the way
At Altostratus, as an AWS Premier Partner, we help organizations adopt generative AI on AWS in a strategic, personalized, and secure way.
We work from defining the vision and use cases to implementing solutions like Amazon Bedrock or Q, creating cloud environments designed to scale. Additionally, we support teams in deploying and evolving these technologies, ensuring that innovation translates into real business impact.
Ready to take your developments to the next level with generative AI on AWS?
Contact our team and discover how Altostratus can help you create customized solutions with a real impact on your business.
