Generative AI on AWS
AI Services Competency Partner for AWS

AWS Generative AI Services

Unlock the full potential of generative AI on the scalable and secure AWS platform.

Generative AI on AWS

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Adastra helped us implement the AI model that processed vast amounts of data, making it possible to identify the needs of the gorillas and translate that into actionable conservation steps. Their expertise in data engineering and cloud infrastructure was key to making this system scalable and reliable.

Jonathan Ledgard

Co-founder and CEO

Tehanu

I've worked with many people at Adastra, and it was always a great experience. The real success isn’t just in the time savings—it is that the solution has inspired new ideas for how AI can transform the way we work.

David Lamarre

IT Director

Tornatech

Adastra was a great fit. They augmented the team and helped us establish a strong foothold in our new modern architecture. Honestly, it's like working with an extension of our team. They were in the room for stakeholder workshops and executive reviews, helping us translate business priorities into a practical, scalable AI roadmap.

Sam Wong

Senior Director of Data, Analytics and AI

Mark Anthony Group

The chatbot has significantly reduced the time required to find critical procedural or machine-related documents, delivering immediate productivity gains. Employees can now locate the right information in seconds instead of spending excessive time searching, which has a direct impact on cost savings and operational efficiency.

Bernd Eberhard

Director R&D

ams OSRAM

The result looks great! The Adastra team did an excellent job. We thank them for all their hard work on this project.

Fernando Vitorino

VP, Information Technology Solutions and Services

Achēv

Harness Your Data and AI for a Competitive Edge

Organizations are leveraging the power of generative AI to speed up time-consuming processes such as content creation, chatbot customer support and data analysis.

However, your generative AI results are only as good as your data. Low-quality data can lead to generic content and sub-par customer interactions with chatbots. It can also prevent you from leveraging your business data to gain valuable insights.

Adastra can deploy generative AI on AWS—giving you a secure, reliable foundation for your AI initiatives. As an AWS partner, we can help you use the platform’s AI and ML technologies to make your operations more efficient. And, with our 20+ years of data management experience, we can help you achieve clean, accurate data you need to power your AI models.

Why Should You Implement AWS Generative AI?

Data Security

We deploy our generative AI solutions using private instances of models on AWS. This protects your organization’s critical data from data breaches and public consumption.

Scale On-Demand

AWS solutions provide computing power on demand and can scale up and down to meet your needs. You don’t need to worry about managing capacity, and only pay for what you use.

Custom Solutions

We will customize your solution to meet your unique business needs, using tools that you already have or are familiar with. We also provide managed services for each solution, such as ongoing support and maintenance.

Fast Implementation

In addition to custom-designed solutions, we have highly adaptable offerings that you can quickly implement to see immediate results from generative AI on AWS.

Watch the Video and Explore How AWS and Adastra help Achēv accelerate prosperity with Generative AI

Achēv, a non-profit organization, helps newcomers to Canada and diverse Canadians to achieve their full potential through inclusion services in the Greater Toronto area. With the use of AWS generative AI technology and implementation services from Adastra, Achēv was able to accelerate their language assessment services to their clients and help them attain prosperity faster.

Why Choose Adastra for AWS Generative AI?

Simplify Content Creation and Management

Creating customer-specific sales collateral is time-intensive. Adastra’s Intelligent Content Creator leverages generative AI to speed your content creation processes. It uses your CRM and existing product context to improve sales opportunity outcomes and reduce manual content generation by 5x.

Find Relevant Insights with Intelligent Search

It’s hard to drive value from unstructured data. Adastra’s Intelligent Search Platform harnesses the power of generative AI to help you gain on-demand insights from all your organizational data—no matter where it resides. With Intelligent Search, you can improve insight generation by over 50%.

Increase Customer Satisfaction with Intelligent Bots

Traditional bot solutions are labor-intensive to implement and can create a frustrating user experience. Get up and running quickly with Adastra’s Intelligent Bot Platform. The platform uses natural language processing to improve the user experience and increase bot success rates by more than 50%.

KWS Uses Amazon Bedrock to Speed Generative AI Adoption

Global seed producer KWS works with Adastra, an Amazon Web Services (AWS) Partner, to accelerate its generative artificial intelligence (AI) journey. With Amazon Bedrock, KWS has the flexibility to choose from a range of state-of-the-art large language models, matching the best model for any given use case.

Adastra’s AWS Generative AI Implementation Framework

Choose the Right Use Cases

Adastra can help you pinpoint how to use generative AI in your organization to gain a competitive edge.

Secure Crucial Information

Gain peace of mind with secure, compliant and governed data. We assess your environment and establish clear guidelines for using and protecting your data.

Leverage Quality Data

Success of your AI initiatives relies on quality data. We’ll improve your data’s accuracy so you can trust your AI models when making critical decisions.

Eliminate Bias and Implement Ethical AI

Adastra’s ethical AI framework uses Human in the Loop (HIL) to create, validate, and update AI models—reducing bias and ethical concerns.

Customize Your Models

Amazon Bedrock provides customizable foundation models (FMs) that make building and scaling generative AI applications easy. Developers can access these FMs through secure serverless APIs.

Jumpstart Your Generative AI Projects

Deploying generative AI on Amazon SageMaker gives you pre-trained models that can speed up tasks such as article summarization and image generation.
Success story

Tehanu Uses Generative AI to Redefine Conservation and Species Protection

Adastra implemented AWS services to ensure the efficient storage and serverless execution of generative AI models. Using Anthropic’s Claude 3.5 Sonnet model in Amazon Bedrock, Tehanu was able to accurately identify gorilla preferences, achieving a level of precision comparable to human experts, but with significantly greater efficiency.

Adastra x AWS: Empowering Businesses with Generative AI

Book your free, 90-minute Art of the Possible on AWS session now.

Discover how Adastra can help you leverage AWS generative AI for a competitive advantage.

Session Outcomes

  • A clear understanding of the data and analytics foundation your organization needs to be able to enable generative AI.
  • Valuable generative AI use cases that apply to your industry.
  • A detailed look at AWS funding options designed to reduce the cost of your generative AI implementation. As an AWS Advanced Consulting Partner, Adastra has access to exclusive funding programs.

Success Stories

Turn Generative AI on AWS into Business Results

We will identify the use cases that fit your data and security requirements and plan how to deliver them on AWS.

AWS Generative AI FAQ

What is AWS Generative AI?

AWS Generative AI lets businesses create content, automate workflows and gain insights with advanced AI models on Amazon Web Services. Adastra deploys these solutions using private model instances on AWS, which protects your critical data. Computing power scales up and down on demand, so you only pay for what you use.

Adastra helps you choose the right use cases, secures your data with clear governance guidelines and improves data quality so you can trust your models. We customize foundation models in Amazon Bedrock through secure serverless APIs, use Amazon SageMaker pre-trained models to jumpstart projects and apply a Human in the Loop ethical AI framework.

Common use cases include automated content generation, AI chatbots, intelligent search, summarization, data insights and workflow automation. For example, ams OSRAM uses a chatbot that finds procedural and machine documents in seconds, and Tornatech uses an Amazon Bedrock assistant that turns hours of manual ERP reporting into seconds of self-service insight.

Adastra deploys generative AI using private instances of models on AWS, which protects critical data from breaches and public consumption. We assess your environment and set clear guidelines for using and protecting data, with encryption, access controls and governance. Our ethical AI framework reduces bias and supports compliance throughout the model lifecycle.

Adastra delivers proofs of concept within weeks. Besides custom solutions, we offer highly adaptable offerings you can implement quickly to see immediate results. Modular AWS architectures and pre-trained models in Amazon SageMaker speed up tasks such as summarization and image generation, so you can scale from pilot to enterprise use with less rework.

Adastra has more than 20 years of data management experience and is an AWS Advanced Consulting Partner with generative AI expertise and certified specialists. Clients such as KWS, Tehanu, Achēv and ams OSRAM work with us on generative AI. As an AWS partner, we also have access to exclusive funding programs that reduce implementation costs.

Generative AI improves efficiency, reduces manual effort, speeds up innovation and supports better decisions by automating tasks and extracting insights from complex data. Achēv, for example, accelerated its language assessment services for newcomers to Canada, and Tehanu identified gorilla preferences with precision comparable to human experts, using Claude in Amazon Bedrock.

Adastra’s ethical AI framework uses Human in the Loop to create, validate and update AI models, which reduces bias and ethical concerns. We add compliance reviews and continuous monitoring, and we improve data quality first, because generative AI results are only as good as your data. This keeps AI use transparent, secure and accountable.