Aretec serves U.S. federal agencies (SEC, DLA, Army National Guard, Executive Office of the President) as a CMMI DEV/3 and ISO 27001-certified contractor. The tech stack reveals a dual focus: Python + Pandas + Jupyter for data science work paired with enterprise security and identity tools (Splunk, Zscaler, Active Directory, ServiceNow, Swimlane SOAR). Recent hiring acceleration is concentrated in support (10 roles) and security (4 roles) against only 3 engineering openings, signaling a shift from platform development toward operational scaling and compliance — a pattern consistent with their stated pain points around SOC process maturity and incident detection.
Notable leadership hires: Training Lead, Quality Control Lead
Aretec builds data science platforms and federal IT infrastructure solutions for U.S. government agencies. Founded in 2005 and headquartered in Fairfax, Virginia, the company holds certifications in CMMI, ISO 9001, ISO 20000, and ISO 27001. Their product surface spans data ingestion and transformation (Python, Pandas, Jupyter on AWS), identity and access management (Active Directory, SAML, OAuth), and security operations (Splunk, FireEye, Swimlane). Current projects include a REST API layer for MCP server integration with AWS Bedrock, an examiner application for the SEC, and a knowledge management system for their internal training operations. The 51–200 employee organization operates exclusively in the United States.
Aretec's core stack includes Python, FastAPI, Pandas, and Jupyter for data science; React, TypeScript, and Vue for frontend; AWS services including Bedrock; and enterprise tools like ServiceNow, Splunk, Zscaler, and Active Directory for infrastructure and security.
Aretec holds CMMI DEV/3, CMMI SVC/3, ISO 9001, ISO 20000, ISO 27001, and SBA 8a certifications, qualifying it as a federal contractor.
Other companies in the same industry, closest in size
Aretec, Inc.'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.