IG Labs combines our mission experience, subject matter expertise, and the latest development technologies to fit your specific project needs. Our data lab provides access to our in-house NVIDIA DGX A100 GPU and Deep Learning Pod for rapid AI training and data processing, as well as access to our suite of pre-made AI/ML models and analytics.

Our fabrication lab provides microelectronics fabrication and testing equipment, 3D printers, and laser cutters/engravers to support rapid prototyping of circuit boards, flyaway kits, portable data processing units, and other custom hardware. IG Labs™ also offers a fully equipped classroom space to host training courses, workshops, and hands-on exercises using our full inventory of available technology.

IG Labs™ also provides access to our highly experienced SMEs to lead the design of purpose-built capabilities, provide guidance and recommendations throughout the development lifecycle, or whatever level of support you need to develop your solution. Over 95% of IntelliGenesis employees have at least 5 years of industry experience in their field and 85% hold active TS/SCI clearances.

Our unclassified Lab environment allows us to rapidly prototype new operational capabilities using agile development methodologies while our cleared personnel’s familiarity with systems integration enables us to easily transition new products to full operations. See a video tour of IG Labs.

Set up a meeting with our SMEs to discuss the challenge or pain point you’re facing. The discussion will allow our team to scope the overall problem and begin tailoring a solution that will help you solve it.

Contracting with IG Labs is easy. You can choose your preferred level of support, from basic consulting services all the way to full lifecycle development of a custom solution. We also work under a wide range of collaboration agreements, research agreements, co-research projects, and subcontracts flexible to your funding needs. Start discussing with our experts.

The Mobile Advanced Cyber Enablement (M.A.C.E.) System provides a flexible and in-depth converged IT & OT training platform. Operators are introduced to OT protocols, devices, and system configurations, allowing them to begin triaging cyber vulnerabilities and threats within various facilities, components, and weapon systems.

The M.A.C.E. System incorporates modular system add-ons such as runway lighting system, manufacturing simulations, power system components, and traffic control systems that introduce common use cases of critical infrastructure control systems. Users gain understanding through hands-on experience operating real-world protocols and configurations. Operators also learn how specific tactics, techniques, and procedures (TTPs) utilized to analyze, hunt, and defend on traditional IT may not be capable of identifying threats or potentially cause harm to the OT systems they are attempting to defend.

DryDock is an innovative AI-powered platform custom-built to perform advanced vulnerability analysis on virtualized containers. DryDock uses NVIDIA Inference Microservices (NIMs) and the NeMo Agent Toolkit to automate CVE identification, assessment, and mitigation, reducing time spent on manual analysis from days to seconds. Its agentic AI blueprint drives superior performance and cost savings on labor-intensive manual tasks, which will enable organizations to prioritize and neutralize vulnerabilities more efficiently and effectively.

DryDock collects standard information about a container, generates a Software Bill of Materials (SBOM), creates a list of dependencies, software packages, names, versions, and system types, and compares this information to Common Vulnerabilities and Exposures identifiers (CVE IDs) and GitHub Security Advisory identifiers to eliminate duplicates. Then, it generates a final assessment of the container’s overall security.