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Elder Research Tech Stack

Applied AI and data science for government and enterprise fraud detection

Data Infrastructure and Analytics Charlottesville, VA 51–200 employees Founded 1995 Privately Held
elderresearch.com LinkedIn

Elder Research is a 29-year-old data science and engineering firm serving large government agencies and enterprises. The tech stack is government-grade (AWS, Azure, PostgreSQL, Databricks, SageMaker) with heavy investment in ML ops and LLM integration (Langchain, LangGraph, Azure OpenAI). The hiring mix skews heavily data-focused (12 of 19 open roles in data, mostly senior) while the project list centers on fraud detection, RAG pipelines, and migration of legacy analytical models — suggesting a shift from one-off consulting toward productized fraud-detection platforms and AI risk governance.

Tech Stack 102 technologies

Core StackPostgreSQL AWS Docker Python Databricks JavaScript FastAPI Langchain Azure DevOps Tableau Power BI Hadoop Apache Spark SageMaker AWS Lambda AWS Glue CloudWatch ODBC Rocky Linux LangGraph Uvicorn Streamlit Mandiant Visual Studio Code Azure OpenAI Azure AI Search Qlik AWS Step Functions Athena IAM+72 more

What Elder Research Is Building

◆Challenges

  • Strengthening data governance
  • Optimizing mission-critical data systems
  • Balancing performance scalability security
  • Modernizing legacy data systems
  • Modernizing analytical environments for scalability
  • Migrating analytical models across platforms
  • Fraud detection and identity theft prevention
  • Meeting filing-season timelines
  • Detecting fraud patterns
  • Modernizing legacy analytical model portfolios

▲Active Projects

  • Fraud detection and identity theft analytics initiatives
  • Rag pipeline implementation
  • Ai risk management framework development
  • Rest api development
  • Mission-critical data systems
  • Fraud detection analytics infrastructure
  • Integrating fraud detection models into production
  • Modernizing analytical environments
  • Llm integration into applications
  • Multi-workstream analytics program for fraud detection

Hiring Activity

Accelerating20 roles · 15 in 30d

Department

Data
12
Engineering
3
Design
1
Research
1
Security
1

Seniority

Senior
11
Mid
7

Notable leadership hires: AI/ML Lead

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About Elder Research

Elder Research combines data science, data engineering, and strategy consulting for mission-critical analytics at government agencies and Fortune 500 companies. Founded in 1995 and headquartered in Charlottesville, VA, the firm operates at 51–200 employees with expertise in model construction, fraud detection, sentiment analysis, and predictive analytics. Current work spans fraud detection infrastructure modernization, LLM integration, RAG pipeline deployment, and data governance strengthening — reflecting a client base handling high-stakes compliance and risk management. The company emphasizes end-to-end delivery from problem diagnosis through production deployment and training adoption.

HeadquartersCharlottesville, VA
Company Size51–200 employees
Founded1995
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Elder Research use?

AWS and Azure (SageMaker, Lambda, Glue, OpenAI), PostgreSQL, Databricks, Python, Apache Spark, Qlik, Tableau, Power BI. Also deploying Langchain, LangGraph, FastAPI, and Streamlit for modern ML ops.

What is Elder Research working on?

Fraud detection and identity-theft analytics infrastructure, RAG pipeline implementation, LLM integration into applications, AI risk management frameworks, REST API development, and modernization of legacy analytical environments and models.

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How this profile is built

Elder Research'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.