To further enhance go-to-market effectiveness, we invested in sales and marketing enablement tools,
including selected AI-supported solutions. These initiatives have improved internal efficiency, supported
better lead qualification, and increased the quality and consistency of customer engagement across the
commercial funnel.
We’ve invested in marketing communications to provide highly relevant scientific content to the market and
showcase Scantox experts. In doing so, we’ve leveraged webinars, whitepapers and other mediums to
increase both quantity and quality of our engagement within our core channel for market education and
demand generation. By delivering focused, high-quality digital events with science as the focal point, we
expanded audience reach, strengthened visibility in key segments, and created additional opportunities for
meaningful customer interaction.
Finally, we revised our go-to-market to better signal our ability to support clients across our service lines
throughout the drug development process. This wider scope supports more relevant solution selling,
increases cross-functional value creation, and strengthens our ability to serve clients across a larger share
of their development journey.
Operational Excellence
Embracing Digitalization and AI
During the year, we continued to advance digitalization across key parts of the organization, with the aim
of improving operational effectiveness with reduced manual work, transparency, and scalability. By
expanding the use of digital workflows and strengthening access to structured data, we created a more
connected operating environment that supports faster execution and better cross-functional collaboration.
We continued to strengthen selected commercial and finance-related workflows through a combination of
process formalization, digital enablement and selective use of AI-assisted tools. A key focus area was the
further development of structured Request for Information workflows, helping ensure that questions are
routed to the right subject matter experts, answered more consistently and handled with greater
transparency and less manual coordination. In parallel, we prepared selected commercial support
workflows where AI can assist in establishing structure and logic, while maintaining a clear human-first
approach to review and quality control. Rather than pursuing broad AI adoption, we have taken measured
steps in areas where we see clear value creation for clients, partners and internal teams, while building a
stronger foundation for scalable and reliable execution.
Operational process optimization remained a central focus throughout the year. A large number of internal
workflows were reviewed and refined to reduce complexity, eliminate inefficiencies, and improve
consistency in execution. To help realize the benefits, we prioritized employee training and upskilling
supported by structured coursework but also via AI-generated video-based training materials. These
efforts have contributed to shorter study and administrative turnaround times, clearer accountability, and a
more streamlined operational setup, while also providing a stronger foundation for future growth.
New Approach Methodologies (NAMs)
In 2025, Scantox continued to advance its scientific capabilities with an increasing focus on innovative,
data-driven research approaches. Across the life science sector, there is a growing emphasis on New
Approach Methodologies (NAMs), driven by evolving regulatory expectations and the continued focus on
the 3Rs (Replacement, Reduction, and Refinement of animal use). In alignment with these developments,
Scantox is progressively integrating such approaches into its scientific offerings. While maintaining its
strong foundation in regulatory toxicology, the company also focused on expanding its discovery and
efficacy profiling activities, incorporating state-of-the-art experimental systems into its established
neuropharmacology infrastructure.
A key area of growth during the year was the expanded implementation of NAMs, particularly through the
use of advanced cell-based models. This includes complex neuronal systems and three-dimensional (3D)
cell cultures, which offer more human-relevant and mechanistic insights into drug effects. These platforms
are central to NAMs, enabling earlier and more predictive assessment of compound safety and biological
responses, before moving into in vivo studies.
13