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AVER, LLC Tech Stack

Federal analytics and IT modernization for law enforcement and Homeland Security

Information Technology & Services Washington, District of Columbia 51–200 employees Privately Held

AVER is a government-focused IT modernization firm serving federal agencies in Homeland Security, law enforcement, and biometrics. The tech stack reveals heavy reliance on Microsoft (Azure, Azure Government Cloud, Power BI, ServiceNow) paired with Python ML tooling (scikit-learn, TensorFlow, PyTorch, XGBoost), signaling modernization of legacy analytical systems. Active projects confirm this direction: financial system modernization, migration from Oracle to Azure Government Cloud, and biometric data pipeline work. The hiring mix—security-heavy (4 roles) and senior-weighted (9 of 15 open roles)—reflects both compliance-first government requirements and a search for experienced architects to lead system replacements.

Tech Stack 54 technologies

Core StackAdobe Photoshop Oracle Kubernetes Python FastAPI Flask Django AWS Docker ServiceNow React Figma Power BI scikit-learn TensorFlow PyTorch Tableau SAP S/4HANA Lucidchart Power Platform Azure Azure Government Cloud Azure Kubernetes Service Chrome Internet Explorer NoSQL OAuth 2.0 XGBoost Microsoft Project Visio+20 more
ReplacingSAP PRISM

What AVER, LLC Is Building

Challenges

  • Modernizing financial system
  • Searching large-scale biometric databases
  • Identity resolution and deconfliction
  • Technical troubleshooting for examiner tools
  • Urgent operational needs
  • Supporting mission-critical biometric services
  • Identifying schools exploiting educational system
  • Ensuring data currency and integrity
  • Maintaining 24/7 biometric operations
  • Sustainment of automated biometric services

Active Projects

  • Financial system modernization
  • Latent examiner onboarding program
  • Sop enhancement initiative
  • 16-hour testimony course development
  • Mission support biometric services
  • School exploitation investigation project
  • Adjudication and certification process support
  • Biometric data reporting
  • Migration from oracle db to azure govcloud
  • Operating third-party dbaas control plane

Hiring Activity

Accelerating15 roles · 8 in 30d

Department

Security
4
Engineering
3
Ops
3
Data
1
Design
1
Legal
1
Sales
1
Support
1

Seniority

Senior
9
Mid
4
Director
1
Intern
1
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About AVER, LLC

AVER is a Service-Disabled Veteran Owned Small Business (SDVOSB) delivering analytics and modernization services to U.S. federal government agencies. The firm focuses on advanced analytics, IT modernization, and mission-critical biometric services for federal customers in Homeland Security, law enforcement, and healthcare. With 51–200 employees based in Washington, D.C., AVER operates at the intersection of legacy system replacement and emerging cloud and ML platforms. Core operational challenges include scaling biometric database search, identity resolution, and maintaining 24/7 availability for mission-critical systems while transitioning from on-premise (Oracle, SAP) to cloud infrastructure (Azure Government Cloud).

HeadquartersWashington, District of Columbia
Company Size51–200 employees
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does AVER use?

AVER uses Microsoft Azure, Azure Government Cloud, Kubernetes, Python (FastAPI, Flask, Django), React, Power BI, Tableau, Oracle, AWS, Docker, ServiceNow, and ML frameworks (scikit-learn, TensorFlow, PyTorch, XGBoost). The firm is migrating from SAP and PRISM to modern cloud and analytics platforms.

Where is AVER headquartered?

AVER is headquartered in Washington, District of Columbia, and focuses exclusively on U.S. federal government clients.

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How this profile is built

AVER, 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.