What we do.

Five integrated disciplines, delivered by engineers who have shipped on active DoD and IC programs.

Data Science / AI & ML

Data pipelines, ML productization, and GenAI applied where the mission actually needs it — embedded AI with agents driving decisions inside pipelines, and models running inline against mission data. Not chatbots or research demos; systems that run in production.

Tools & frameworks
NumPy
SciKit
Pandas
TensorFlow
PyTorch
LangChain

Software Engineering

We build full-stack production systems in Java, Python, Node.JS, and React — secure by default, STIG-aware, and engineered for the decade-long lifecycles federal programs demand. Proven in classified and air-gapped environments.

Tools & frameworks
Java
Python
Node.JS
React
PostgreSQL
Kafka

Cloud Engineering

We modernize legacy applications onto Kubernetes, Docker, and AWS — with the judgment to lift-and-shift when it fits and rebuild when it doesn't. Infrastructure-as-code from day one, with the operational discipline FedRAMP, IL-tier, and disconnected deployments require.

Tools & frameworks
Kubernetes
Docker
AWS
Terraform
Helm
Istio

Analytic Development

Analytics that scale to billions of records across streaming and batch — from raw collection through enrichment to the analyst's dashboard. Built on Elastic, Kafka, Kibana, and Spark, tuned to the volume and latency real production data actually runs at.

Tools & frameworks
Java
Python
Elastic
Kafka
Kibana
Spark

Native & Reverse Engineering

Native-code engineering above and below the surface. We write C, C++, and Rust on embedded and firmware targets — building where standard application stacks can't reach — and we reverse real binaries, protocols, and firmware images, working in IDA, Ghidra, and gdb on artifacts that don't ship with documentation.

Tools & frameworks
C
C++
Rust
IDA
Ghidra
gdb