AI and cyber operations platform for national security missions
IntelliGenesis builds AI, cyber, and data systems for government and defense customers operating in high-consequence environments. The stack spans classical big-data infrastructure (Hadoop, Hive, HBase, Accumulo) alongside modern security tooling (Splunk, Elasticsearch, IDA Pro), with recent adoption of Ghidra signaling a shift toward open-source reverse-engineering capabilities. Active hiring is concentrated in engineering and security roles (47 of 75 open positions), reflecting heavy investment in offensive/defensive cyber operations and malware analysis—core to their mission-ready transition projects.
IntelliGenesis delivers AI, cyber, data, and workforce capabilities for national security and commercial high-consequence environments. The company operates across five domains: AI/ML, cyber operations, analytics, mission engineering, and advanced training (delivered through IntelliCademy and IG Labs). Founded in 2007 and headquartered in Columbia, Maryland, the firm serves government and commercial customers with 51–200 employees. Active projects center on cyber range operator training, malware analysis infrastructure, sensor configuration for data collection, and transition of cyber research into operationally deployable capabilities. The organization is expanding: 41 roles posted in the last 30 days, with senior and mid-level hiring velocity accelerating.
Core: Bash, Ansible, Python, Java, C++, PostgreSQL, AWS. Data: Hadoop, Hive, HBase, Accumulo, Elasticsearch, Kibana. Security: Splunk, IDA Pro, Jira, GitLab, Maven. Recently adopting Ghidra for reverse engineering.
Cyber range operator training, malware analysis labs, sensor data collection systems, offensive/defensive cyber capabilities, and mission-ready AI integration. Pain points center on system capacity, infrastructure automation, and binary analysis at scale.
Other companies in the same industry, closest in size
IntelliGenesis LLC®'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.