Julia Computing, Inc.

Julia Computing, Inc. is a technology company specializing in the development and application of the Julia programming language, machine learning frameworks, and defense technology solutions. The company provides a range of services to the federal government, including data analytics, scientific modeling, and software development. Julia Computing has secured numerous federal contract and grant awards from various agencies, including the Department of Defense, NASA, and the Department of Energy. Founded in 2015, the company has established itself as a leader in high-performance technical computing and artificial intelligence solutions for government and industry.

Through its federal contract awards, Julia Computing has provided diverse services across multiple agencies. The company has delivered data analytics support to the Air Force, including a $200,000 task order for Edwards Air Force Base. It has also conducted training programs for NASA, such as a $30,000 purchase order for Julia programming language instruction. Julia Computing has engaged in advanced research and development projects for the Defense Advanced Research Projects Agency (DARPA), including a $1 million other transaction agreement to develop an ML-powered framework for radio frequency computing and another $1 million agreement for NEURALSPICE, an ML-accelerated mixed signal simulation framework. The company has also supported the Air Force with a $2.7 million contract for developmental flight test infrastructure. Additionally, Julia Computing has served as a subcontractor to prime contractors such as General Dynamics Information Technology and Triad National Security, providing custom computer programming services and other technical support.

Julia Computing has received several federal grant awards to advance its research and development efforts. NASA awarded the company a $500,000 grant to improve the sustainability and utility of the Julia programming language, with work performed in Newton, Massachusetts. The Department of Energy's Advanced Research Projects Agency awarded Julia Computing two cooperative agreements: one for machine learning-based well design to enhance unconventional energy production, and another for accelerating coupled HVAC building simulation with a neural component architecture. The National Science Foundation provided a project grant for the development of a neural component architecture to accelerate modeling and simulation. As a subgrantee, Julia Computing worked with the University of California, Davis on high-performance, high-level tools for statistical inference and unsupervised learning.

Julia Computing holds two significant federal contract IDVs. The first is a multiple-award indefinite delivery indefinite quantity (IDIQ) contract with the Air Force, valued at $4.8 million, for providing data analytics services through September 2026. This small business set-aside contract enables the Air Force to leverage Julia Computing's expertise in data science for decision-making, research, and operations across its program offices and major commands. The second IDV is an other transaction agreement with DARPA, valued at $7.3 million, for automating scientific knowledge extraction and modeling. This agreement allows DARPA to access Julia Computing's capabilities in programming language development, machine learning frameworks, and defense technology solutions, supporting the agency's research objectives in scientific knowledge management and modeling automation.