AI/ML and mission engineering for U.S. Intelligence Community contractors
DeNOVO Solutions is an SDVOSB delivering AI, ML, and systems engineering to the Intelligence Community. The stack—TensorFlow, PyTorch, scikit-learn, MLflow, Spark, Docker, and Splunk—reflects a data-science-first operation; active hiring skews senior (18 of 32 roles) and engineering-heavy (19 of 32), suggesting they're scaling teams around ML deployment and legacy-system modernization rather than building from scratch.
DeNOVO Solutions is a Minority/Service Disabled Veteran Owned Small Business founded in 2012, headquartered in Aurora, Colorado. The company provides cleared personnel, AI/ML engineering, and systems integration to intelligence agencies and defense contractors. Core service lines include mission engineering, software development, information management, system administration, and database optimization—all within classified or high-security environments. Current focus areas include modernizing legacy systems, automating ML pipelines, secure network infrastructure design, and compliance frameworks for hybrid classified deployments.
Primary tools: TensorFlow, PyTorch, scikit-learn, XGBoost, Apache Spark, MLflow, Docker, Jupyter, Git, Confluence, AWS, Jira, Splunk, MongoDB, Django, Flask, Linux, Puppet, Ansible, and Python. Security-focused: ACAS, Nessus, Tenable.sc.
Key projects: modernizing legacy systems, automated ML retraining and deployment pipelines, secure hybrid classified system architecture, continuous model monitoring and drift detection, data ingestion pipelines, and system-of-systems integration frameworks for government environments.
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