
Scientel Information Technology, Inc. specializes in advanced NoSQL DBMS design and systems integration for business operations across the U.S., Canada, and Asia. Founded in 1977, Scientel develops highly scalable AI and Big Data solutions, including its flagship Gensonix AI DB platform, which supports ultra-parallel processing with up to 16,000 computing nodes. The company offers integrated hardware and software solutions, including optimized high-end servers bundled with its Gensonix ENTERPRISE DBMS software, targeting Big Data environments. Scientel also provides Enterprise Content Management Systems (ECMS) and a personal/small business content management system called My little BigData. Their technology emphasizes reliability, efficiency, and cost-effectiveness, serving businesses requiring advanced data management and analytics capabilities.

Scientel Information Technology, Inc. specializes in advanced NoSQL DBMS design and systems integration for business operations across the U.S., Canada, and Asia. Founded in 1977, Scientel develops highly scalable AI and Big Data solutions, including its flagship Gensonix AI DB platform, which supports ultra-parallel processing with up to 16,000 computing nodes. The company offers integrated hardware and software solutions, including optimized high-end servers bundled with its Gensonix ENTERPRISE DBMS software, targeting Big Data environments. Scientel also provides Enterprise Content Management Systems (ECMS) and a personal/small business content management system called My little BigData. Their technology emphasizes reliability, efficiency, and cost-effectiveness, serving businesses requiring advanced data management and analytics capabilities.
Founded: 1977
Headquarters (business DB listing): Lombard, Illinois (Greater Chicago area)
Product focus: NoSQL DBMS and Big Data / AI data platforms (Gensonix ENTERPRISE DB)
Scale claim: Platform supports up to 16,000 computing nodes
Employee count (source snapshot): 3
Big Data storage and analytics, scalable NoSQL database management, enterprise content management.
1977
Information technology / Big Data / Database systems
Total Funding: 0.00