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DeNOVO Solutions, LLC Tech Stack

Defense and intelligence contractor for cleared software and data engineering

Software Development Aurora, Colorado 51–200 employees Founded 2012 Privately Held

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.

Tech Stack 147 technologies

Core StackJira Confluence Python Pandas scikit-learn MATLAB SAS MLflow Java TensorFlow PyTorch Apache Spark Docker AWS MongoDB MariaDB Django Flask Puppet XGBoost Ray Dask DVC Jupyter SHAP LIME ACAS Nessus Tenable.sc Splunk Enterprise Security+117 more

What DeNOVO Solutions, LLC Is Building

Challenges

  • Modernizing legacy systems
  • Improving operational processes
  • Ensuring compliance with governmental standards
  • Scalability and redundancy in classified environments
  • Enhancing mission-critical application interfaces
  • Ensuring quality of mission-critical software
  • Maintaining reliability of mission-critical systems
  • Modernizing mission-critical infrastructure
  • Ensuring compliance with accreditation
  • Improving operational efficiency through automation

Active Projects

  • Ci/cd pipeline integration
  • Ml-based data classification system
  • System-of-systems architectural frameworks
  • Multi-layer integration and interoperability solutions
  • Colt integration interfaces
  • Modernizing legacy systems
  • Automated test suite development
  • Integration testing strategy implementation
  • Modernization of mission-critical infrastructure
  • Automation of repetitive infrastructure tasks

Hiring Activity

Accelerating20 roles · 15 in 30d

Department

Engineering
13
Data
4
Ops
1
Security
1

Seniority

Mid
8
Senior
8
Junior
1
Lead
1
Principal
1
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About DeNOVO Solutions, LLC

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.

HeadquartersAurora, Colorado
Company Size51–200 employees
Founded2012
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does DeNOVO Solutions use?

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.

What is DeNOVO Solutions working on?

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.

How this profile is built

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.