AWS S3

BBG worked with Adastra and Amazon Web Services to migrate workloads, manage data in Snowflake, and pilot AI to speed up sales and legal.

When Tornatech needed faster ERP access, Adastra built an Amazon Bedrock-based chatbot that delivers instant, self-service insights on inventory, orders, and pricing. The result: hours of manual reporting reduced to seconds.

Discover how Tehanu uses groundbreaking AI solutions to empower interspecies economies, advancing conservation and global biodiversity efforts.

Adastra developed a GenAI-powered chatbot solution for ams OSRAM, tailored to streamline access to critical documentation within the production environment.

Discover how GasNet transformed its data environment over two years and prepared for the digital future of the energy sector.

The client partnered with Adastra to develop an agile, AI-enabled data platform, which utilizes a lakehouse architecture with AWS solutions.

Adastra deployed an end-to-end DevOps strategy for the organization, streamlining and boosting cooperation among development and operations teams.

Adastra deployed a Data Mesh and guided the client on Data strategy, Data Culture, Data Governance and Tech Stack to reshape the data landscape.

The math tutoring company worked with Adastra to build upon their existing AWS Cloud configuration to create an architecture that implemented an array of AWS Secure Cloud Services.

Adastra implemented a data lake in Amazon S3 and created an enterprise data model on top of it, running on Redshift.

Our team migrated their analytics platform entirely to the AWS cloud, creating an S3-based data lake for impeccable data processing.