Ulap Machine Learning Workspace

The Challenge: Outdated Systems, Growing Complexity

The Department of Defense faces increasing challenges in ingesting, storing, processing, and operationalizing the vast and complex data required for daily mission execution, decision-making, and situational awareness.

Existing Big Data Platform (BDP) technologies are outdated, resource-intensive, and costly to maintain. These systems require large teams to deploy, secure, and monitor, yet deliver limited and diminishing mission value.

Legacy processes and architectures further constrain modernization efforts and delay the adoption of advanced, data-driven solutions.

The Solution: Purpose-Built for Defense

Ulap's Machine Learning Workspace is built on work developed in partnership with U.S. Cyber Command (J9), U.S. Army Cyber, and U.S. Army Cyber Protection Brigade. The platform can be deployed as a standalone system or integrated directly with existing Big Data Platform deployments (IONIC and JCRS-D).

All applications are developed in alignment with the DOD DevSecOps Reference Architecture.

Machine Learning Workspace & AI Readiness

Ulap's Machine Learning Workspace transforms how defense teams work with data. Built specifically for military analysts and operators, the platform makes advanced analytics accessible to anyone who needs mission-critical insights.

Partner with Ulap to build and operate advanced analytics and Explainable AI!

The Learning Workspace Tools

Each application provides simple and secure capabilities to assist in data processing, advanced analytics, interactive dashboards and reports, AI/ML inference, and Generative AI solutions.

APEX

Provides users with interactive dashboards that can interact with massive datasets via data visualizations and reports, which can be securely published and distributed to authorized users.

MIST

An analytics and collaboration hub that enables Analysts, Developers, and Data Scientists to quickly search, explore, and run Jupyter notebooks for analytical, machine learning, and AI use cases.

CERA

An Automated Platform for Effortless AI/ML Model Deployment, Scaling, and Inference, enabling teams to seamlessly deploy and scale ML models and Large Language Models via click-button wizards.

AMMO

A secure and scalable Agentic, Multi-Model, Orchestration platform that evaluates user and system user requests to securely route and process API,Analytics, AI, RAG, and AI Agents.

CYBO

A Generative AI application purpose-built to accelerate the monitoring, exploration, and understanding of a network, its devices, and users via Explainable AI models and agents.

Ulap Machine‍Learning Workspace