Artificial Intelligence

Leverage previously unexposed data to generate new insights.

AI is Only as Good as Your Data

AI promises endless possibilities, but it is not a silver bullet. Its business impact is only as good as the accuracy of your models and the quality of the data that powers them. You also need the right skillsets to derive the most value from your AI pipelines and models.

Adastra helps you harness the power of AI to predict trends, anticipate disruptions and boost efficiencies. We provide all the expertise you need to get value from your AI insights so you can drive innovation and tap into new revenue streams ahead of your competition.  

We also understand that high-quality data is critical to achieving AI results. That's why we clean your data and make it AI-ready. We can also improve your machine learning models, making AI insights more accurate and reliable over time.

How We Optimize Your AI

AI Operations

We automate the capture of telemetry and the retraining of your AI models—helping you optimize your AI performance and capture information in real time.

AI Platforms

We enable techniques and libraries that provide context for your AI predictions, so you understand the potential business impacts of each adjustment.

AI Strategy

We can build comprehensive AI and analytics roadmaps for your organization—including optimizing your AI use cases and selecting technologies that meet your needs.

Cloud Enablement

As a premier partner for the big three cloud providers, we can create AI models that work well on your chosen platform or in a multi-cloud environment.
SUCCESS STORY

Royalty Forecasting and Advanced Pay Calculations

A large music rights management organization required a forecasting solution to automate the prediction and calculation of future song royalties based on historical performance and insights collected from external data.

Adastra leveraged the client’s internal data, hit charts and song popularity information to develop a forecasting solution that predicts future song earnings.

$1M

in annual savings from fewer errors

130M

Produce forecasts for 130M records

100K

100K artists can predict future earnings

The Adastra Difference

As a leader in the data and AI space, we work collaboratively with your subject matter experts to recommend and implement AI services. We leverage our deep technical expertise and decades of industry experience to build custom solutions that solve your unique business challenges.

When choosing an AI solution, we consider your ongoing costs, technology landscape, maintainability and support team.

We also work closely with our Data Governance and Data Engineering experts to base your models on clean, trusted data.

AI Methodology

Our AI project methodology is proven to solve business problems efficiently and effectively.

Business Goals

We start by defining your business goals and conducting user and variability studies. This helps us understand where AI can augment your processes and provide you with business value.

Preparation

During this phase, we prepare and consolidate your data for downstream analytical modelling. We also ensure your business processes are ready to support your AI initiatives.

Modelling

This iterative phase optimizes your data engineering pipelines and model complexity. We can add capacity and implement roadmaps that help you achieve your future business goals.

Customization

We can custom-build AI and analytics models to meet your unique needs. Custom training provides accuracy that you often can’t get with plug-and-play solutions. We can also implement out-of-the-box AI tools that meet your needs.

Deployment

The final phase focuses on model orchestration and enablement. We determine the best consumption medium, assess your internal capacity and provide monitoring tools that simplify your ongoing maintenance.

Our Expertise

Adastra’s AI & Analytics experts possess decades of industry experience and specializations in mathematical modelling, simulations, data engineering and business intelligence.

We partner with academic institutions, including the Intelligent Control and Estimation (ICE) Laboratory in the University of Guelph’s College of Engineering and Physical Sciences. Adastra is also a member of Scale AI, a Government of Canada-supported supercluster that boosts AI adoption in supply chains.

Our areas of expertise include:

Intelligent Document Processing

Predictive and Preventative Maintenance

Machine Learning

Object Detection and Tracking 

Vehicle and Person Route Optimization 

Server Log Analysis and Risk Classification

Financial Crimes and Fraud Detection

Audio Analysis and Fingerprinting

Explore More AI Solutions

AI and Machine Learning

Uncover hidden insights that help you seize new opportunities and gain a competitive edge.

Machine Learning

Get more from your data with accurate modeling and scenarios.

Hyper Automation Solutions

Hyper automation solutions strengthen operational efficiency, reduce costs and increase customer satisfaction.

FAQ

AI has moved from theory to practical application, driven by advancements like generative AI. The technology is mature enough to deliver real business value. With competitors racing to integrate AI into their operations, acting now ensures you stay ahead and capitalize on its transformative potential.

It starts with understanding your current position. This includes mapping your data landscape, assessing technology readiness, and identifying key gaps in skills. From there, define clear objectives, assemble a cross-functional team, and create a roadmap that outlines short- and long-term goals.

Success can be measured both quantitatively and qualitatively. Quantitative metrics include cost savings, improved operational efficiency, and productivity gains. On the qualitative side, success is reflected in enhanced decision-making, better customer satisfaction through faster and more personalized services, and the organization’s ability to adapt to future challenges. A strong AI initiative aligns technology with business goals, delivering both immediate and long-term value.

The biggest challenges include ensuring data readiness, managing collaboration between technical and business teams, and addressing the cultural shift that AI adoption often requires. Additionally, scaling from a pilot project to full production is a hurdle that needs careful planning.

Good AI starts with good data. This requires well-structured, consistent, and error-free datasets, supported by robust data governance practices and tools. Collaboration across teams is key to cleaning, organizing, and preparing data for analysis. Feedback loops are equally vital—user insights on AI outputs help refine data quality and keep models aligned with business goals.

Start small with high-impact projects to prove value and build internal buy-in. Establish clear governance frameworks and ensure collaboration between IT and business teams. Once you’ve learned from initial projects, scale by aligning AI initiatives with long-term organizational goals.

Let’s Chat!

Discover how Adastra can help you harness the power of data to improve your business performance and maximize revenue.