How Axle AI delivers global, AI-powered Media access at unmatched speed with Storj.

Most media workflows involve large volumes of unstructured, fast-moving footage, which are often disorganized and difficult to work with.  Traditional cloud storage often makes the problem worse, introducing latency, high costs, and limitations tied to specific regions. Axle AI needed a solution that could match the speed and intelligence of their platform with fast, global storage access, without sacrificing security or compliance.

Their customers weren’t just asking for better metadata. They needed a system that could support high-speed uploads, intuitive browsing, and flexible deployment models to meet varied regulatory requirements.

Axle AI delivers a full-stack solution with AI engines extracting rich metadata, generating low-res previews, and making every frame of content searchable. Their intuitive browser-based UI lets non-technical users find exactly what they need in seconds — without downloading full files or digging through folders.

To unlock this experience globally, Axle AI chose Storj as its storage layer. Storj’s distributed architecture accelerates uploads and downloads from any location by routing traffic to the fastest available nodes, making it a perfect fit for video teams working across time zones and continents. The Storj integration required no changes to Axle AI’s code base thanks to full S3 compatibility.

Beyond performance, Axle AI and Storj share a core design philosophy: flexible deployment. Both platforms support public cloud, region-specific deployments, and fully private cloud environments. This ensures customers maintain complete control over where and how their data lives. This makes the joint solution ideal for compliance-heavy verticals such as government, enterprise, and media.

Axle AI now delivers fast, intelligent access to massive video libraries powered by AI and backed by globally performant, cost-effective storage.

With Storj, uploads are resilient and resumable, even for collections of files in the terabyte range. Axle AI users can search by face, object, text, or scene and instantly preview clips via lightweight proxy files, turning cloud storage into an interactive, browse-able media layer.

The combined solution doesn’t just solve the media library problem, it reimagines it. What used to be a static dump of footage is now a dynamic, searchable resource that teams can access and collaborate on from anywhere on the planet.

Axle AI is now exploring deeper integration with Storj's Object Mount, further streamlining user workflows by letting teams interact directly with their media from desktop environments without downloading.