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01
WISDOMERA / Since 2017

About WisdomEra

An integrated technology ecosystem for data, decision support and artificial intelligence.

Founded in 2017, WisdomEra first developed an application for monitoring and managing treatments for oncology patients. It subsequently developed an extensive ecosystem of software tools to address complex decision-support algorithm triggering challenges.

WisdomEra applications can be integrated according to the target analytics problem. They can operate concurrently across clustered cloud servers, while the data profiling approach aims to reduce resource consumption in analytics projects.

01 Not a single app, but an interconnected ecosystem
02 Concurrent workload distribution across multiple cloud servers
03 Data profiling architecture designed to optimize resource usage
02
WISDOMERA / OUR PURPOSE

Our Mission

Technology that turns data into value.

Our mission is to deliver services in data analytics, decision-support algorithm development, and AI-based applications through the extensive application infrastructure of the WisdomEra ecosystem.

DATA ANALYTICS · DECISION SUPPORT · ARTIFICIAL INTELLIGENCE
03
WISDOMERA / OUR VISION

Our Vision

Building projects that benefit humanity.

WisdomEra aims to become one of the leading companies in the data science and artificial intelligence ecosystem and to develop projects that deliver beneficial outcomes for humanity.

SCIENCE · TECHNOLOGY · HUMAN IMPACT
04
WISDOMERA / ONE ECOSYSTEM · MANY CAPABILITIES

Our Products

From integration and analytics to automation and AI.

WisdomEra has developed platforms and solutions for data management, algorithm development, statistical analysis, machine learning, reporting, multichannel engagement, and artificial intelligence.

These applications have been operated in stable and optimized configurations across the large-data environments of 30 hospital systems.

01 Data profiling architecture
02 Rules engine for complex multidimensional data
03 Statistical analysis
04 Machine learning modeling
05 Reporting and data preprocessing
06 Algorithm triggering
07 Decision-tree-based chatbots
08 Multichannel customer engagement
09 Personal AI and conversational analytics with data
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