
News · 2025-12-26 · DEVER Editorial · 2 min read
DEVER at Abu Dhabi Finance Week
Presenting a full-stack intelligence vision on a global finance stage.
DEVER, a software development company, took part in Abu Dhabi Finance Week (ADFW), the global finance forum hosted by Abu Dhabi Global Market (ADGM) from 8 to 11 December 2025, where it presented its AI technology and global business strategy.
Under the theme “Integrating clinical, wellness, and business intelligence,” DEVER introduced its own approach to structuring fragmented data with artificial intelligence so that decisions can be made as intuitively as possible. Before an audience of global finance leaders, three core platforms were highlighted.
DEVER BIE (Business Intelligence Engine): an intelligent engine platform that works as an AI partner holding on to context, preventing the loss of data in the field and maximizing productivity.
DEVER WIE (Wellness Intelligence Engine): sensorless AI technology that analyzes heart rate, stress, and similar signals without hardware constraints, with scalability validated through PoCs with global mobility and retail companies.
DEVER CIP (Clinical Intelligence Platform): a specialist platform that automates the creation of clinical protocols while meeting complex regulatory requirements, sharply reducing both risk and time.
Through ADFW, DEVER reaffirmed the technical link between Boston and Seoul, and demonstrated once more to the global market the Proven Tech DNA already validated in major enterprise projects such as large-scale payment data processing and business card OCR. A DEVER representative said, “In Abu Dhabi, the capital of capital, we showed how DEVER's Structured Knowledge Layer can simplify the future of complex business and healthcare,” adding, “We will build on this participation to strengthen global partnerships and open the future of digital healthcare and business.”
DEVER plans to continue innovating in ways that connect technology and people, so that users everywhere can reach better decisions inside complex data.