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Expedition Technology Tech Stack

Defense AI and signal processing for real-time field operations

Defense and Space Manufacturing Herndon, VA 51–200 employees Founded 2013 Privately Held

Expedition Technology builds machine learning and signal processing systems for the defense and intelligence sectors. The stack—Python, Kubernetes, AWS, React, and GraphQL—supports both backend ML model development and web-based mission interfaces. Current project focus spans real-time algorithm deployment, training data infrastructure, and workflow automation; pain points cluster around compliance (NIST 800-53, federal contracts) and the hard engineering problem of translating lab models into field-ready systems operating at scale.

Tech Stack 46 technologies

Core StackPython Docker GitLab Kubernetes AWS CloudFormation Java JavaScript AWS Lambda React Vue Angular Next.js TypeScript Vite Tailwind CSS Playwright Bootstrap GraphQL DynamoDB AWS RDS Unanet DISS AWS Fargate SolidJS React Query OpenLayers Material-UI AWS Application Load Balancer IAM+16 more

What Expedition Technology Is Building

Challenges

  • Transitioning models to real-time applications
  • Ensuring compliance across federal contracts
  • Improving contract process efficiency
  • Streamlining contract lifecycle management
  • Maintaining cleared cloud deployments
  • Supporting aws infrastructure in govcloud
  • Scaling ai/ml annotation repository
  • Meeting modern warfighter needs
  • Ensuring compliance with nist 800-53
  • Accelerating prototype development

Active Projects

  • Integrate advanced machine learning and signal processing algorithms into cutting edge software solutions
  • Training data storefront (tds)
  • Mission workflow services
  • Verification and validation systems
  • Deployment automation
  • Improving contracts function tools
  • Transition signal processing-based machine learning models to field-ready, real-time software applications and systems
  • Real-time software applications for defense
  • Electronic warfare dsp system
  • Rf geo-location models

Hiring Activity

Accelerating15 roles · 15 in 30d

Department

Engineering
12
Legal
1
Ops
1
Security
1

Seniority

Senior
10
Mid
4
Junior
1
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About Expedition Technology

Expedition Technology is a privately held, employee-owned defense contractor headquartered in Northern Virginia. The company serves U.S. defense and intelligence agencies with software solutions centered on machine learning, signal processing, and computer vision. Their product surface includes a training data storefront, mission workflow services, verification and validation systems, and real-time applications for electronic warfare and RF geolocation. Operations span cloud infrastructure on AWS and GovCloud, with active compliance management for federal acquisition regulations and NIST standards. The organization is 51–200 employees and actively hiring, with engineering representing the dominant headcount.

HeadquartersHerndon, VA
Company Size51–200 employees
Founded2013
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Expedition Technology use?

Core: Python, Docker, Kubernetes, AWS (Lambda, Fargate, RDS, DynamoDB). Frontend: React, Vue, Angular, Next.js, TypeScript, Tailwind CSS. Infrastructure: GitLab, CloudFormation, IAM. Middleware: GraphQL, React Query, OpenLayers.

What is Expedition Technology working on?

Real-time ML and signal processing for defense: mission workflow services, training data infrastructure, electronic warfare DSP systems, RF geolocation models, and deployment automation. Heavy focus on transitioning lab models into field-ready applications.

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How this profile is built

Expedition Technology'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.