This week, we spotlight Anastasiia Glebova, a tech founder and industrial expert who has spent a decade navigating the complexities of large-scale organizations and supply chains. With a background in industrial engineering and management, Anastasiia’s work is rooted in the “boots on the ground” reality of traditional industries.
Today, she helps companies move beyond manual guesswork by applying data analytics, process mining, and AI to solve high-stakes operational hurdles-from clearing up delivery delays to slashing inventory costs and automating the repetitive tasks that drain a team’s time.
Anastasiia is a firm believer that the era of the passive dashboard is over. She advocates for intelligent systems that act as proactive partners, flagging disruptions before they happen. In this Practitioner Spotlight, we discuss her evolution from quality management to tech entrepreneurship, the critical need for “human-first” automation, and why she views deep domain expertise as the most vital asset for anyone entering the AI field today.
Hyperight.com: What’s the best way to describe your job to someone outside tech?
Anastasiia Glebova: I often describe my work as building solutions that save time for operations. Instead of asking people to constantly monitor dashboards to spot problems, with the help of technology, I focus on delivering clear, relevant insights and practical recommendations that help in daily work.
I believe teams should know what’s about to break in their supply chain before it does. With AI, we provide proactive warnings and recommendations and, just as importantly, clear explanations of what happened and why, so teams can act faster and prevent the same issues from happening again. 
Hyperight.com: What originally sparked your interest in AI/data, and what keeps you inspired
today?
Anastasiia Glebova: I first became interested in data when I realized the power it has to help people understand what’s really happening and make decisions based on facts rather than assumptions. That interest turned into a real passion when I worked in a quality department and had to decide where to focus the efforts. Data helped us prioritize the most important areas for quality improvements.
Today, data combined with AI provides even greater potential. It allows teams to achieve far more with much less effort, using intelligent systems to retrieve knowledge, reduce manual work, and drive better outcomes.
Hyperight.com: What is one challenge you’re trying to solve, and why does it matter?
Anastasiia Glebova: One of the key challenges we focus on is how to proactively deliver the right information to operations teams without requiring them to constantly dig through dashboards or look for patterns themselves. We build systems that continuously monitor operations, detect anomalies early, and alert teams in time to act before issues turn into real problems.
Hyperight.com: A tool you can’t live without (tech or not)?
Anastasiia Glebova: Most probably LinkedIn. It’s where I consistently meet interesting people, exchange ideas, and connect with professionals across industries. For me, it’s not just a networking platform, it’s a place to learn from others’ experiences, stay close to what is happening in the industry, and discover how different teams are approaching transformation. I hope at least AI won’t replace fully genuine content. Many meaningful conversations and collaborations have started there, which makes it a tool I genuinely can’t live without. This is also a platform where I heard about the Data Innovation Summit for the first time!
Hyperight.com: What trend in data or AI do you think will shape the Nordic region the most?
Anastasiia Glebova: I would point to the speed at which AI tools are being adopted across industries. We’re already seeing great examples of companies building tools that make prototyping accessible even without deep technical skills, significantly lowering the barrier to building and testing software ideas. This enables teams to move faster and turn ideas into working solutions much more easily than before.
At the same time, Europe is well positioned to become a role model for how AI can be used in a responsible and transparent way. Strong regulations around data privacy and governance help ensure that innovation is balanced with trust, giving companies and users confidence in how AI systems are developed and applied.
Hyperight.com: What’s one piece of advice you’d give to others entering the data and AI field?
Anastasiia Glebova: It’s important to develop deep expertise in a specific domain so you truly understand the problems it faces.Tools and data skills can be learned relatively quickly, but gaining real domain knowledge takes time and experience and that understanding is what ultimately makes technology effective to solve real problems.
