Elastic AI storage
Elastic storage.
Built for AI.
A calm control plane for datasets, model artifacts, and application files—starting with private, workspace-scoped uploads in the Storivo console.
Storage overview
Built for data in motion
Buckets
Workspace controls
Scoped
Objects
Object inventory
Persisted
Access
Team posture
Controlled
Infrastructure, clarified
Storage should be the quiet part of your stack.
Console uploads
Upload a private file into a workspace bucket without exposing a public storage endpoint.
Workspace controls
Organize buckets and access around the team that owns the data.
Object inventory
Review persisted object metadata and stored-byte totals inside the console.
Every object, one foundation
From the first dataset to the production system.
01 / Training data
Make room for the work that teaches your models.
Store large source collections, labeled examples, and evolving data versions without making capacity planning a blocker.
02
Model artifacts
Keep checkpoints, embeddings, and releases reachable whenever inference needs them.
03
Product data
Store media, exports, backups, logs, and every object behind your application.
Infrastructure that keeps a clean edge.
Clear storage boundaries and access controls for the data your business depends on.
Simple by design
Add storage without adding friction.
Storivo keeps the core actions visible: create a bucket, connect the data path, and understand what it costs.
01
Create a bucket
Separate datasets, product assets, backups, and model outputs with clear storage boundaries.
02
Upload from the console
Add a private file to a workspace bucket with a simple, authenticated upload flow.
03
Review persisted objects
See recorded object names, types, byte sizes, timestamps, and storage references in one place.
Storage that meets you where you are
Start with what you need. Pay for what you use.
Choose a tier that fits today, with clear paths for expanding capacity, team access, and support when your infrastructure gets serious.
Questions, answered