Passion for Solving Critical DATA Problems
Mission
Our mission is to provide innovative, high-quality synthetic data generation solutions and related data preparation services that enable organizations to rapidly discover threats hidden in big data to keep our nation safe.
History
Founded in 2005 by Dr. James A. DeBardelaben, IvySys Technologies, LLC has always been an innovative technology solutions and services firm. From the very beginning, IvySys focused on solving critical threat awareness problems for the national security community using its advanced analytics capabilities. As the complexity of the security threats facing our nation has increased at an unprecedented rate, IvySys has honed its capabilities to enable both commercial and government organizations to cost-effectively leverage AI and ML solutions to address the growing array of threat actors.
The collection and annotation of problem-specific training data is a critical challenge to the successful application of AI/ML to threat detection. The data collection and annotation phases can account for over 80% of the effort on any mission-critical AI project. In addition, training data collected from real sources is often highly sensitive with strict privacy protection requirements. AI practitioners need the ability to produce unrestricted, representative training datasets at low cost.
To address critical data scarcity, labeling, and privacy limitations, IvySys provides AI-driven synthetic data generation solutions and related data preparation services. IvySys incorporates realistic vetted threat scenarios to produce multi-source synthetic data for AI/ML model training and testing. IvySys solutions stream the tagged synthetic datasets to AI models during training, alleviating the need to collect and store large datasets, thereby reducing costs.
As an R&D innovation partner to the U.S. Government’s most advanced research and development agencies, IvySys has become a leader in synthetic big data generation, artificial intelligence, cloud engineering, and multi-source data integration. Strategically located in Arlington, VA, IvySys is Small Disadvantaged Business with mission expertise in critical areas ranging from social cybersecurity to countering weapons of mass destruction.
Leadership
James A. DeBardelaben, Ph.D.
Founder, President & CEO
Vondell L.
Coleman
Senior VP of Operations
Jeremy K. Miller
Chief Technology Officer
Kirill Orlov
Director of Software Engineering
IDIQ Contract Vehicles
Contract Number: W52P1J-22-G-0107
Period of Performance: 12 March 2022 through 11 March 2027
Program Ceiling: $241.6 Million
Program Manager: James A. DeBardelaben, Ph.D., 703-414-5665
IvySys DRAID email address: draid@ivysys.com
Customer Satisfaction POC: Vondell Coleman, 703-414-5665
About JAIC DRAID
The solutions and services addressed by the DRAID vehicle span the full set needed to prepare “AI ready” data, from data ingestion right up to before AI model training begins. While many of these services are the core tasks in the AI data preparation process—including data ingestion, feature engineering, and labeling—the JAIC has shaped the DRAID vehicle to also include additional services that will become, and are already becoming, areas of critical interest to the DoD.
These forward-looking areas include topics such as AI security, synthetic data generation, and data representativeness. These areas are critical to the DoD’s success in setting the standard for world-class AI military systems, including putting the DoD AI Ethical Principles into practice. AI security must be accounted for early in the process to ensure the data used to train AI systems has not been manipulated or poisoned in a way that will compromise AI system performance once the system is fielded. Synthetic data generation provides alternatives to having to collect, prepare, and label significant amounts of data, promising to substantially accelerate the development process. Checking for data representativeness, such as data bias or excluded entities, both serves to instantiate the DoD AI Ethical Principles as well as ensuring optimal system performance once the AI system is in the hands of the warfighter.
Joint Artificial Intelligence Center (JAIC) Data Readiness for Artificial Intelligence Development (DRAID) Basic Ordering Agreement (BOA)
Joint Enterprise – Research, Development, Acquisition, and Production/Procurement (JE-RDAP)
Contract Number: W911QY-18-D-0086
Period of Performance: 1 November 2017 through 31 October 2027
Program Ceiling: $8.276 Billion
Program Manager: James A. DeBardelaben, Ph.D., 703-414-5665
IvySys JE-RDAP email address: je-rdap@ivysys.com
Customer Satisfaction POC: Vondell Coleman, 703-414-5665
About JE-RDAP
JE-RDAP is a Multiple Award (MA), enterprise-wide omnibus Indefinite Delivery Indefinite Quantity (IDIQ) contract vehicle supporting the research and development of Chemical, Biological, Radiological, Nuclear and high yield Explosives (CBRNE) defense systems, capabilities, equipment, supplies and material. The Joint Program Executive Office for Chemical and Biological Defense (JPEO-CBD) will use the JE-RDAP IDIQ contract to execute activities to provide the capability of CBRNE Defense Systems, Capabilities, Equipment, Supplies and Material; Radiological/Nuclear Defense Systems; and CBRNE Information Systems to the Warfighter.
For more information on JPEO-CBD, visit the website.