Raft Tech Stack

AI/ML and data platform for U.S. defense and government missions

Software Development McLean, Virginia 201–500 employees Privately Held

Raft builds data and ML infrastructure for U.S. military and government agencies. The stack reveals a mature data platform: Kafka + Apache NiFi for streaming, Kubernetes + Rancher for orchestration, PyTorch + TensorFlow for ML workloads, and Airflow for pipeline orchestration — all grounded in Red Hat Enterprise Linux. Active projects show Raft scaling toward model-serving infrastructure and end-to-end MLOps, while hiring (43 roles in 30 days, 65% senior/principal engineers) signals infrastructure complexity is the constraint: pain points center on processing billions of events daily and maintaining fault tolerance across distributed systems.

Tech Stack 114 technologies

Core StackPython Docker Ansible Puppet Kubernetes Rancher Apache NiFi Kafka Grafana Prometheus Loki GitLab PyTorch TensorFlow Apache Airflow Istio Apache Pinot Java Go Jira Confluence Red Hat Enterprise Linux RKE2 Zookeeper MinIO Keycloak Longhorn Promtail DuckDB Apache Superset+83 more

What Raft Is Building

◆Challenges

Optimizing platform performance
Critical infrastructure automation
Processing billions of events per day
Mature end-to-end ml platform
Improving operational reliability
Simplifying distributed system complexity
Supporting multi-classification deployments
Maintaining platform reliability
Fault-tolerant data platform
Time-sensitive decision making

▲Active Projects

Digital bloodhound program
Model serving and inference infrastructure for ml use cases
Mature raft’s ml platform and mlops infrastructure
Lead major technical epics
Architectural decisions for raims
Next phase of raims platform
End-to-end features for data storytelling
Data focused product built on kafka, trino, duckdb, superset
Data streaming pipeline optimization with kafka
Ci/cd pipeline improvement with gitlab

Hiring Activity

Accelerating50 roles · 45 in 30d

Department

Engineering

Product

Sales

Data

Seniority

Senior

Principal

Lead

Mid

Staff

Junior

Company intelligence

Find more companies like Raft by tech stack, pain points and active projects

Get started free

About Raft

Raft is a defense technology company operating in McLean, Virginia, with 201–500 employees. The company serves U.S. military and government agencies with AI/ML solutions and data platforms designed for mission-critical decision-making. The technical footprint spans data streaming (Kafka, NiFi, Zookeeper), ML model development and serving (PyTorch, TensorFlow), data storage and query (DuckDB, Pinot, Superset), container orchestration (Kubernetes, Rancher, RKE2), and infrastructure automation (Ansible, Puppet). Current project work includes the Digital Bloodhound program, RAIMS platform expansion, and ML platform maturity efforts alongside data storytelling and pipeline optimization.

HeadquartersMcLean, Virginia

Company Size201–500 employees

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Raft use?

Python, Kubernetes, Kafka, PyTorch, TensorFlow, Apache Airflow, Docker, Ansible, Grafana, Prometheus, GitLab, DuckDB, Apache Superset, and Red Hat Enterprise Linux comprise the core stack.

What is Raft working on?

Active projects include the Digital Bloodhound program, ML model-serving infrastructure, MLOps platform maturity, RAIMS platform expansion, data streaming optimization with Kafka, and end-to-end data storytelling features.

How this profile is built

Raft'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.