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Data Capital Incorporation Tech Stack

AI/ML and data engineering services for federal agencies and enterprise platforms

IT Services and IT Consulting Manassas, Virginia 51–200 employees Founded 2014 Privately Held

Data Capital builds AI/ML solutions and data pipelines for federal clients, with a tech stack anchored in Python, PyTorch, TensorFlow, and Databricks—heavy on model training and inference. The hiring mix (5 senior engineers and data practitioners across 6 open roles) and active project list (LLM agents, RAG systems, scalable training pipelines, ServiceNow platform extensions) reveal a company shifting from generic IT services toward applied AI delivery and enterprise platform modernization.

Tech Stack 31 technologies

Core StackPython MATLAB Apache Spark scikit-learn PyTorch TensorFlow Databricks MLflow PySpark AWS SageMaker AWS Lambda Hugging Face RAG ServiceNow JavaScript Angular Java GitLab CI/CD R SQL XGBoost Streamlit Gradio AWS Step Functions REST SOAP Glide AJAX Spring Boot+1 more

What Data Capital Incorporation Is Building

◆Challenges

Reducing manual analysis
Extracting insights from large datasets
Enhancing platform capabilities
Refining ai-generated java code
Enterprise standards compliance

▲Active Projects

Ai/ml projects in the federal space
Ai/ml centers of excellence
Develop and deploy ai/ml models
Llm and rag ai agent systems
Interactive ui for ai models
Scalable training pipelines
Enhanced platform capabilities across csm, itsm, itom, itam, itbm, grc, servicenow communities
Refining ai-generated java code
Maintaining gitlab ci/cd pipelines

Hiring Activity

Accelerating6 roles · 3 in 30d

Department

Engineering

3

Data

2

Seniority

Senior

5

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About Data Capital Incorporation

Data Capital is a technology services firm based in Manassas, Virginia, serving federal and enterprise customers since 2014. The company delivers solutions across CRM platforms (ServiceNow), cloud infrastructure (AWS), data science and machine learning, advanced search, DevOps, and cybersecurity. Current work centers on AI/ML model development and deployment, including large language model systems, retrieval-augmented generation (RAG), and interactive UIs for model inference—alongside platform capability expansions in ServiceNow (CSM, ITSM, ITOM, ITAM, GRC modules). The team operates across 51–200 employees, primarily in the United States.

HeadquartersManassas, Virginia

Company Size51–200 employees

Founded2014

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Data Capital use?

Python, R, PyTorch, TensorFlow, scikit-learn, XGBoost, Databricks, MLflow, AWS (SageMaker, Lambda, Step Functions), Hugging Face, Streamlit, ServiceNow, Spring Boot, and GitLab CI/CD.

What projects is Data Capital working on?

AI/ML model development and deployment for federal agencies, LLM and RAG agent systems, scalable training pipelines, ServiceNow platform enhancements (ITSM, GRC, ITAM modules), and AI-generated code refinement.