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Cuno

Storj provides a distributed cloud storage platform that offers S3‑compatible object storage and a fast, secure file‑mount client, enabling users to work with data as if it were local. By leveraging a network of decentralized resources, Storj reduces storage costs by up to 80% and cuts carbon emissions by up to 83%, making it a cost‑effective and environmentally friendly alternative to traditional cloud services.

Atlanta, United States407K+ followers
Updated 16 days ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Traditional cloud storage requires downloading or syncing large datasets before they can be used locally, creating latency, high egress costs, and complex multi‑region replication. This slows down data‑intensive workflows such as AI training, media production, and real‑time processing.

Solution

Storj offers a distributed cloud platform that provides S3‑compatible object storage combined with the Object Mount client, which maps remote objects directly to a local POSIX‑compatible filesystem. By leveraging a network of underutilized storage nodes, the service reduces storage costs by up to 80% and lowers carbon emissions by up to 83% compared with conventional providers. Object Mount delivers local‑like performance without downloading or syncing, enabling instant access to cloud‑stored files from any tool or programming language. The solution works across major operating systems, supports container environments, and integrates with any S3‑compatible storage, whether cloud, on‑prem, or hybrid.

Target Audience

Primary customers are data‑intensive teams in media & entertainment, AI/ML research, and enterprise IT that need high‑performance, cost‑effective object storage with seamless local access.

Features

  • S3‑compatible object storage with fast, secure egress
  • Object Mount client that presents remote objects as a local drive with POSIX compliance
  • 10× faster file access than traditional download‑sync workflows, eliminating latency
  • Cross‑platform support for Windows, macOS, and Linux, plus container (Docker, Kubernetes, Singularity) compatibility
  • No data compression or deduplication, preserving performance and scalability
  • Simple plug‑and‑play integration for media production, enterprise data platforms, and backup/archive use cases
This profile is AI-generated and may contain inaccuracies.