2025: The year AI in healthcare shifted from experimental to operational.

2025: the year we bridged the gap between innovation and clinical reality.

This past year, the healthcare AI sector has definitively shifted from a focus on "access" (simply making algorithms available) to "adoption."

Mentionned in our latest whitepaper, the supply of medical algorithms has grown exponentially, yet clinical integration has often followed a linear path.

At HCK, this year was dedicated to solving that imbalance.

We moved beyond the traditional marketplace model to build a collaborative infrastructure designed for scale, security, and interoperability.

2025 was defined by the execution of this networked model through specific structural milestones:

- 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗘𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻: We launched and scaled TrueLink and MultiLink. These technologies moved us beyond simple connections, solving the integration bottlenecks that historically stalled deployment, allowing complex AI insights to flow directly into diverse clinical workflows.

- 𝗚𝗹𝗼𝗯𝗮𝗹 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻: We expanded our orchestration footprint into new territories, facilitating the deployment of advanced diagnostics in 5 new countries in Europe and South America. A rapid expansion that validates the Networked Model, where AI builders collaborate rather than compete.

- 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 & 𝗧𝗿𝘂𝘀𝘁: We achieved ISO 27001 certification. As AI becomes a cornerstone of diagnostic practice, this certifies our commitment to the highest standards of data security and information governance.

- 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗰 𝗗𝗲𝗳𝗶𝗻𝗶𝘁𝗶𝗼𝗻: We published "From Access to Adoption," a whitepaper outlining why the value proposition of healthcare AI platforms must evolve. We argued that competitive advantage now hinges on "adoptability", the capacity to harmonize diverse models into coherent ecosystems.

The Networked Model we proposed is no longer theoretical; it is operational.

By turning fragmentation into cooperation, we are shortening the path from invention to clinical impact.

As we look toward 2026, our focus remains sharp: to continue synchronizing the speed of innovation with the pace of adoption, ensuring that validated AI tools reach the regions who need them most.