| Name | Title | Contact Details |
|---|
Spicy Network, Inc. is a West Covina, CA-based company in the Business Services sector.
Shoor is a Columbia, SC-based company in the Business Services sector.
Logical System Solutions Inc is a Normal, IL-based company in the Business Services sector.
SchoolAI is an educational technology company that leverages AI to enhance K-12 and higher education. Founded in 2023 by Caleb Hicks, the company is based in Lehi, Utah, and has raised $32 million in funding, including a $25 million Series A round led by Insight Partners in April 2025. SchoolAI focuses on providing personalized learning tools that empower teachers and engage students. The companys Classroom Experience Platform includes AI-driven tools for lesson planning, grading, and monitoring student progress. It features adaptive AI tutors and interactive lessons tailored to individual learning styles. Additionally, SchoolAI incorporates safety features to monitor student interactions and flag concerns for teacher intervention. The platform integrates seamlessly with existing school tools, making it easy for educators to adopt. SchoolAI is used in over 1 million classrooms across the U.S. and internationally, with partnerships in more than 400 school districts. The company aims to ensure every student feels supported and successful through its innovative solutions.
Pneuron offers a new design, deployment, and execution paradigm to help businesses meet today’s rapidly changing and complex information systems challenges. By distributing lightweight, fixed-function, processing objects to targeted individual source systems, Pneuron creates a powerful processing network which sidesteps the time and cost penalties of today’s centralized approaches. Using a single, integrated platform, businesses are able to iteratively build and deploy solutions which solve the challenges of distributed data, applications and infrastructure. Pneuron has broken the centralization paradigm that dominates most conventional architectures, and implemented a distributed model where data extraction, analytics, and logical operations are effectively processed at the source system. This focuses processing on only those subsets of information that meet specific business requirements while avoiding large scale migration, normalization, and processing of non-target data. Results show up to 50% improvement in time and cost in development and deployment of business solutions compared to traditional approaches.