Apexon and Dataiku Join Forces to Accelerate Scalable AI in Regulated Industries
Written by Sirish Dixit
Apexon partners with Dataiku to drive responsible AI adoption in regulated industries like healthcare and finance, focusing on scalable, explainable, and governed AI solutions that deliver real business value and operational efficiency.

Apexon, a tech firm specializing in intelligent enterprise solutions, has announced a strategic partnership with Dataiku, a leading enterprise AI platform. This collaboration is aimed at enabling businesses, especially in highly regulated sectors like healthcare, life sciences, banking, and financial services, to adopt and scale artificial intelligence (AI) and machine learning (ML) effectively.
Combining Apexon’s data modernization and AI expertise with Dataiku’s robust AI capabilities, the partnership seeks to help organizations extract greater value from their data. The joint solution offers advanced analytics, predictive modeling, and intelligent automation, focusing on real-world applications like fraud prevention, improved risk assessment, personalized customer experiences, and enhanced compliance.
The partnership emphasizes deploying secure, explainable, and well-governed AI systems. Apexon’s AI Centre of Excellence will play a key role by offering reusable assets, frameworks, and deep industry knowledge to speed up implementation and reduce time-to-value. A significant element of this initiative is Apexon’s AI Governance framework, which ensures ethical AI usage, addresses bias, and supports compliance and risk management.
Mukund Kalmanker of Apexon emphasized that the collaboration will assist enterprises in moving from AI testing phases to practical, scalable deployment. Taye Mohler of Dataiku highlighted the importance of this alliance in helping regulated industries overcome compliance and governance challenges, allowing for confident and responsible AI adoption.
Together, Apexon and Dataiku aim to empower businesses to innovate responsibly while meeting strict regulatory standards and driving impactful AI transformation.