The world’s biggest tech players—Meta, Amazon, Microsoft, and Alphabet—are projected to spend over $320 billion in 2025 alone on AI and supporting infrastructure.

Is your IT strategy holding you back? Spot the signs and discover how smarter tech choices drive real business results.

How technical insights drive successful growth and investment decisions

Is AI accelerating your IT strategy—or creating roadblocks?

Projects are delayed, innovation is stalling, and everyone is asking the same question—where did all the money go?

Unlocking Business Value with Backstage: Discover how Avalia transforms IT strategy into measurable business value.

Explore how AI is reshaping business operations, from automating tasks to enhancing decision-making.

Unlock the power of data visualizations to make software development more efficient with Backstage.

Discover the causes of software delivery speed loss and the impact it can have on your business with Avalia's tech due diligence.

We showed how a two-week delay held up one squad of ten people in an R&D organisation with a staff of 100 developers.

We take the case of a company that plans to invest in software research and development but encouters challenges that slow them down.

Discover the red flags investors should look out for in a tech deal to avoid costly financial losses and ensure success with Software DD.

Uncover the potential loss of tech talent in your software deal and get the insights needed.

Discover the essential role of Software Due Diligence in the rapidly evolving software M&A market and how it can help you.

Discover how to leverage the treasure troves of data and turn them into success stories.

CEO, Rodney Reis, presented how Avalia links data to uncover valuable insights in M&A deals and introduced IBM-Red Hat Case.

How data can help clients make sound decisions in investment deals, by revealing who wrote code, how much is wasted, and what tech. debt is.

We identified key areas to evaluate a software transaction and formulated a Software Due Diligence Checklist to help organizations.

An approach for teams to quantify the scope of a migration project by creating an inventory of features and tracking the progress.

Data-driven models can bridge the gap between technical and business domains.