AI, software and cloud, engineered to ship.
Senior engineers who build and modernize software, cloud platforms and AI systems for federal, DoW and enterprise commercial teams that need the work done in environments they control.
Lead Service
We build and modernize software, and the AI systems that run inside it. Our engineers combine modern delivery practices (cloud-native architecture, DevSecOps, and legacy modernization) with agentic AI engineered to be reliable, reviewable, and deployed in environments you control.
Agentic AI systems: Single- and multi-agent workflows that plan, use tools, and hand off work, scoped to well-defined tasks.
Loop engineering: We design the agent loop (plan, act, observe, evaluate) with tool permissions, guardrails, evaluation harnesses, feedback loops, and human-in-the-loop review checkpoints.
AI-assisted software delivery: Engineers direct coding agents and review every change, so AI-generated work arrives as diffs and pull requests your team can inspect.
RAG & grounding: Retrieval-augmented generation grounded in your documents and data, with cited sources so answers can be checked.
Secure LLM deployment: Models deployed in environments you control, so prompts, data, and outputs stay inside your boundary.
MLOps & LLMOps: Versioning, evaluation, and observability for model quality, latency, cost, and drift in production.
Applied machine learning: Production models with human feedback loops, such as threat-detection classification that analysts review and the model is retrained on.
Modern software engineering: Agile delivery, test-driven development, code review, CI/CD, and cloud-native, containerized architectures with DevSecOps built in.
Engineering Services
The engineering foundation under every AI system we build: enterprise commercial software and cloud practice, applied every day on federal and DoW programs.
Secure, scalable cloud and Kubernetes platforms on AWS, AWS GovCloud (US) and Azure for federal and DoW programs, such as Army ECMA / cArmy on AWS and Azure, built with infrastructure as code and designed to move between cloud, private cloud and local environments when they have to.
Security-first pipelines with automated builds, tests and scans, plus the site reliability engineering that keeps software healthy after it ships: monitoring, alerting, incident response and service-level objectives.
Event-driven architectures, data streaming and analytics workloads, with the metrics and dashboards teams need to see readiness at a glance.
Modern engineering for DoW training and simulation systems, from U.S. Army constructive simulation and synthetic training environments to 3D terrain and flight-training software.
Consulting and engineering on Palantir platforms for DoW programs, including Maven Smart System and Army Vantage. Our engineers work embedded in the program team as a subcontractor, building data pipelines, ontologies and applications that hold up to operational use.
Refactor monoliths into modular, containerized services, with migration paths that keep the system running while it changes.
APIs and integrations that connect systems and vendors, from REST services to message queues, across multi-vendor programs.
Test strategies from unit to end-to-end, wired into the pipeline so quality is checked on every change.
Tell us about the system, the environment and the timeline.
