Defense and intelligence contractor for cleared software and data engineering
DeNOVO Solutions is a service-disabled veteran-owned small business serving the Intelligence Community with cleared engineering and data teams. The tech stack—Python, scikit-learn, TensorFlow, PyTorch, MLflow, Spark, and security tools like Splunk and Nessus—reveals an ML and data-heavy operation. Hiring is accelerating (15 roles posted in the last 30 days) with a 13:4:2 ratio favoring engineering over data and ops, and seniority weighted toward mid and senior levels, suggesting they are scaling delivery capacity rather than building new foundational capabilities.
DeNOVO Solutions, founded in 2012 and based in Aurora, Colorado, provides cleared personnel and engineering services to U.S. Intelligence Community agencies. The company focuses on software development, system administration, information management, and ML/AI capabilities. Their project mix spans CI/CD pipeline integration, ML-based data classification, system-of-systems architecture, and modernization of legacy and mission-critical infrastructure. Primary pain points center on modernizing aging systems, ensuring compliance with government accreditation standards, and improving operational reliability and efficiency—typical friction points in federal IT environments where technical debt and regulatory constraints are endemic.
Core stack includes Python, Pandas, scikit-learn, TensorFlow, PyTorch, XGBoost, Apache Spark, Django, Flask, Docker, MongoDB, MariaDB, and AWS. Security tooling includes Splunk Enterprise Security, Nessus, and Tenable.sc. Orchestration via Jira, Confluence, Puppet.
Active projects include CI/CD pipeline integration, ML-based data classification systems, system-of-systems architecture frameworks, modernization of legacy and mission-critical infrastructure, automated testing, and integration of specialized intelligence community systems.
DeNOVO Solutions, 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.