AI First. Data, Analytics and Cloud, Always.
Your success in AI starts with the right business strategy, trusted data, strong governance — and the right partner.
Together, we turn opportunity into results.
What We Do
For more than 20 years, we’ve been hyper-focused on data, analytics and the technology solutions to support them. Our data and AI expertise helps business and IT leaders provide trusted insights to every team member—so they can make better decisions every day.
Trusted by
Adastra worked closely with our operations, applications, and security teams to decide on the best architecture for the solution and was able to migrate over 100 servers to AWS in less than 100 days.
Mark Segal
Chief Information Officer, CBI Health
We partnered with Adastra to modernize our long-standing Teradata EDW to GCP BigQuery, our joined forces made the migration journey efficient and valuable. Implementing BQ is a major path forward towards GT’s cloud journey.
Jason Murphy
Director of Business Intelligence COE, Giant Tiger
Adastra helped us take a broader perspective around our analytics platform. Their team of experts established and implemented a future proof architecture that enables us to scale our Power BI platform across all Magna divisions globally.
Stefan Tropper
Director B2B and Solutions, Magna
With Adastra’s sales planning platform, our strategic planning is no longer a stressful annual marathon, but a sophisticated process firmly grounded in unique data and consistency checks that minimize errors and make preparation as efficient as possible.
Jan Týřl
Project Manager, Škoda Auto
Technological enhancement of retail CRM is one of the top priorities for the RB International group. We’ve been collaborating with Adastra on this project from the very beginning. Thanks to their experts, we were able to quickly identify key weaknesses and propose a future-proof architecture.
Zana Pekmez
Head of Customer Intelligence Analytics Products, Raiffeisenbank
We improved data quality by 24% using machine learning to identify errors, like mislabeled spare parts. We visualize these issues in Power BI for immediate correction.
Stefan Lautenschlager
Head of Business Intelligence and Analytics, NETZSCH
Success Stories
Albert
Albert automated data quality and governance, creating a trusted foundation for AI, analytics and digital transformation across the group.
Albert
Albert modernized its data ecosystem to handle retail data at scale. Faster reporting, better insights, and improved operations.
Škoda Auto
A centralized planning platform connects product, sales and manufacturing planning with shared data and governance.
Volkswagen AG
Adastra delivered a cloud-based, hybrid data and reporting platform combining Azure, Power BI, and Oracle DWH.
CEPS
Discover how ČEPS modernized regulatory energy data collection with a secure application portal and backend platform.
Tornatech
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.
SCONTO Nábytek
Learn how SCONTO replaced Excel reports with a metadata-driven HR Data Mart on Microsoft Fabric — fast, scalable, and audit-ready.
E.ON
Adastra deployed an advanced analytics propensity-to-buy model in Databricks that supported gas sales efforts.
E.ON
Advanced analytics models in Databricks, developed and trained by Adastra, have helped E.ON prevent customer churn to competitors.
When you need a partner,
we are there to help.
We work with the world’s most respected technology companies to deliver award-winning services and solutions.
Resources
Industry trends and digital innovations to inform your journey towards gaining greater value from your data.
Insights
For organizations serious about operationalizing AI, starting with sales isn't just practical, it's strategic.
Insights
Discover how AI is transforming enterprise services in this interview with Lyoubomir Ovtcharov, Adastra Regional SVP Sales.
Insights
Moving AI from pilots to production requires more than capable models. Data, security, costs, governance and infrastructure determine success.
Webinar Recordings
Learn AI-DLC, Adastra's methodology for governed, spec-driven data engineering across the full AI development lifecycle, demoed live with AWS Kiro.
Webinar Recordings
Ams OSRAM, Adastra, and AWS use AI to give manufacturing teams faster access to technical knowledge and documentation.
Whitepapers
See how pharmaceutical companies use AI to accelerate drug discovery, cut development costs, and navigate regulatory change.
