Phoenix Operations Group LLC
Engineering services company that develops cloud-hosted software analytics, big data platforms, and machine learning solutions for Department of Defense and Intelligence Community customers. Focus areas include cloud platform development and migration, distributed data engineering, machine learning augmentation for analysts, and DoD-focused DevSecOps and contract vehicle delivery.
Industries
N/A
Services
Cloud platform development and migration services
Design and implementation of cloud-hosted mission platforms and lift-and-shift migrations to commercial and classified cloud environments.
Data science platform provisioning
Bootstrap environments with commonly used data science tools and a data engineering sandbox for ingress, persistence and egress workflows.
DevSecOps pipeline implementation
Automated pipelines for build, harden, test and deploy operations using containers aligned with DoD DevSecOps guidance.
Machine learning and OSINT analytics development
Development of ML models and recommender systems for OSINT and fusion of multiple intelligence sources to augment analyst decision-making.
Distributed data fabric engineering
Engineering of synchronized, discoverable data fabrics across geographically dispersed nodes to present unified data and event services.
Cloud platform development and migration services
Design and implementation of cloud-hosted mission platforms and lift-and-shift migrations to commercial and classified cloud environments.
Data science platform provisioning
Bootstrap environments with commonly used data science tools and a data engineering sandbox for ingress, persistence and egress workflows.
DevSecOps pipeline implementation
Automated pipelines for build, harden, test and deploy operations using containers aligned with DoD DevSecOps guidance.
Machine learning and OSINT analytics development
Development of ML models and recommender systems for OSINT and fusion of multiple intelligence sources to augment analyst decision-making.
Distributed data fabric engineering
Engineering of synchronized, discoverable data fabrics across geographically dispersed nodes to present unified data and event services.
Expertise Areas
- Cloud computing and cloud migration
- Big data analytics and distributed data engineering
- Machine learning and AI for analyst augmentation
- DevSecOps and pipeline automation
Key Technologies
- Public and classified cloud platforms
- Distributed data processing (Hadoop, Spark)
- Event streaming (Kafka)
- NoSQL / distributed storage (HBase)