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Whitespace Tech Stack

AI intelligence platform for defense and national security missions

Information Technology & Services Alexandria, VA 11–50 employees Founded 2014 Privately Held

Whitespace builds Iris, an AI agent designed to process maritime, human activity, and geospatial intelligence at operational speed for defense and intelligence agencies. The tech stack (Java, Python, AWS GovCloud, Azure Government, Kubernetes) reflects a hardened, compliance-first infrastructure; active adoption of Terraform, Ansible, CloudFormation, and GitLab signals a shift toward infrastructure-as-code and CI/CD maturity. Current project work spans AFRL R&D, prompt engineering, scalable AI deployment, and DOD authorization—indicating a company scaling AI capabilities while navigating federal compliance requirements.

Tech Stack 18 technologies

Core StackJava Python Kubernetes AWS GovCloud Azure Government Vault AWS Secrets Manager

AdoptingTerraform Ansible CloudFormation GitLab Jenkins ArgoCD OpenSCAP Harbor+3 more

What Whitespace Is Building

◆Challenges

Moving ai initiatives to production
Scalable infrastructure for high-throughput low-latency operations
Security compliance and ethical considerations
Identifying trends
Gain maximum insight
Mission-critical situational awareness
Supporting federal compliance requirements
Maintaining dod authorization to operate

▲Active Projects

Support afrl r&d project
Customize worldline for special project
Prompt engineering for large language models
Scalable infrastructure for ai model deployment
Framework for integrating multiple ai models
Humanitarian assistance and disaster relief
Economic crisis
Iuu-f fishing
Obtaining dod authorization to operate
Automating secure environment deployment

Hiring Activity

Steady7 roles · 2 in 30d

Department

Engineering

4

Data

1

Seniority

Senior

5

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About Whitespace

Whitespace delivers AI-driven intelligence analysis to defense, national security, and government agencies. Founded in 2014 and headquartered in Alexandria, VA, the company operates a lean, senior-heavy engineering organization (11–50 employees, majority senior-level roles in engineering and data). Iris applies machine learning and analytic tradecraft to complex geospatial and activity-based intelligence workflows without requiring GIS or data science expertise from end users. Active development priorities include production deployment of AI models, securing DOD authorization to operate, humanitarian assistance and disaster relief applications, and infrastructure that handles high-throughput, low-latency mission-critical workloads.

HeadquartersAlexandria, VA

Company Size11–50 employees

Founded2014

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Whitespace use?

Java, Python, AWS GovCloud, Azure Government, Kubernetes, and Vault. The company is actively adopting Terraform, Ansible, CloudFormation, GitLab, Jenkins, and ArgoCD for infrastructure and CI/CD.

What is Whitespace working on?

Key projects include AFRL R&D support, prompt engineering for large language models, scalable AI model deployment infrastructure, DOD authorization to operate, and humanitarian assistance and disaster relief applications.