VFS

VFS: Distributed, Ledger based, Storage

Customer Challenges

For modern organizations drowning in unprecedented data volumes and struggling with traditional storage systems that offer:

Inflexible Data Silos

Mission-critical information trapped in rigid environments lacking modern API access.

Integration Bottlenecks

Difficulty connecting with cloud-native tools or triggering automated, data-driven workflows.

Operational Inefficiency

Manual data handling that creates severe delays in analysis and decision-making.

Security & Provenance Risks

Major challenges in ensuring absolute data integrity, safety, and provenance at scale.

VFS (Velocity File System) is the distributed, ledger based, storage solution that turns data liabilities into operational assets.

Velocity File System (VFS) is a robust, petabyte-scale distributed file system pairing a user-friendly web UI with a scalable backend. It features native AWS S3 API support for seamless integration. VFS automates pipelines, instantly triggering Python functions upon object ingestion. It includes strict access controls and object tagging for easy UI-based search. Security is ensured by an immutable ledger for data provenance, AES-256/TLS 1.3 encryption, and erasure coding to guarantee maximum durability with zero single points of failure.

How does VFS work?

Features and Benefits

The Dark Wolf Difference​

VFS uniquely bridges highly secure, on-premise storage with cloud-native flexibility. Unlike legacy systems requiring clunky add-ons, VFS features out-of-the-box S3 support and integrated event-driven computing. Unlike public clouds, which aren’t viable for air-gapped missions, VFS brings petabyte-scale architecture to your secure infrastructure, using a distributed ledger to guarantee tamper-proof data provenance.

Customer Successes

Our data solutions are accredited to the highest level within customer specific networks, to include the most sensitive compartments within the Intelligence Community. They are delivered at scale, including 1,200+ production datasets, 75 trillion records, 9 petabytes of data, 2.5 thousand users, 80+ thousand searches a week, and 30+ billion records ingested weekly.