Pivot Phase: Infrastructure Focus

Raw Vision Intelligence.

We are moving beyond storage. Visdax is now focused on the Engine Layer—delivering training-ready tensors and latent-level processing for ML teams.

PIVOT_STATUS: ENGINE_ONLY
# Initializing Visdax Latent Engine...
> Storage Layer: [DEFERRED]
> Tensor Output: [ACTIVE]
> Restoration API: [ACTIVE]
// Current Focus:
Model-Ready Data Streams

The Pivot Strategy

Storage isn't the core—performance is. Here is what we are building right now.

Engine-First Architecture

We've decoupled the storage layer to focus exclusively on our latent-space restoration and tensor generation speed.

Training-Ready Tensors

Skip the preprocessing. Our engine delivers .npy tensors directly to your GPU, optimized for your specific model architecture.

Storage: Coming Soon

Massive image storage is on our roadmap, but today we are focusing on making your existing data smarter.

Current Engine SKUs.

High-performance vision logic for modern ML teams.

ROADMAP

Storage Layer

Launching in Phase 2

SKU 01

General Storage

$5.00/TB/mo
SKU 02 [CURRENT CORE]

Engine Integration

$8.00/TB/mo
  • API Key & Webhooks
  • Codec Restoration API
  • Real-time Logic Engine
SKU 03

ML Enterprise

$15.00/TB/mo
  • Training-Ready .npy Tensors
  • 4-Mode Restoration Outputs
  • Priority GPU Queue