Data Engineering
Data Operations
Information Distribution
The Velocity File System (VFS) provides a secure, high-performance framework for distributing data across multiple geographic locations.. Utilizing an S3-compatible interface, VFS integrates seamlessly with a vast ecosystem of industry-standard tools, allowing organizations to leverage existing workflows for cloud-native storage and data movement. The system employs advanced erasure coding to break files into configurable fragments, distributing them across a decentralized network of nodes to ensure maximum data durability and availability. Unlike traditional storage, VFS utilizes a distributed ledger to maintain a verifiable record of data provenance and movement without the overhead of a public blockchain. To ensure total privacy, VFS features a pluggable encryption mechanism that secures data at the source before it ever leaves the local environment, enabling customers to share information across organizations while maintaining absolute control over the encryption scheme.
Cloud Enablement
We deploy data solutions to national security, commercial, and defense customers through hardware- and software-based architectures, including our own Velocity File System and our BrickStor family of distributed data products. We use a modular design that allows for deployment in various environments, from purpose-built hardware to cloud infrastructures, using containerization for maximum portability and resource efficiency. Storage nodes can be mixed media including cloud and physical storage and solutions can be delivered as a service, as a product, or via software licensing with appropriate government rights that help you avoid vendor lock-in.
Extreme Scale Solutions
Dark Wolf delivers enterprise-grade Big Data and Data Science environments engineered to meet the rigorous demands of the Intelligence Community and accredited for the most sensitive compartments. Our extreme-scale solutions manage over 9 petabytes of data and 75 trillion records, providing a robust search framework that allows analysts to query trillions of records in seconds. We operate high-performance ETL pipelines capable of ingesting over 30 billion records daily and transforming hundreds of streaming datasets in minutes. This ecosystem is anchored by a comprehensive Data Catalog and Marketplace, ensuring precise P&L tracking and discovery while exposing all services through a full-featured API consumed by hundreds of downstream systems. To empower advanced analysis, we provide an integrated Data Science Environment featuring AI model engines, Spark clusters, Trino, and Jupyter, supporting a user base of thousands who execute over 80,000 mission-critical searches weekly.