Core Product

Inflex AI Alpha: Unlocking the Foundation of the Global Data Infrastructure

As part of its phased rollout, Inflex AI iv is launching the Alpha version of its core platform—the first functional layer of its decentralized data infrastructure. This release provides early users, contributors, and builders with hands-on access to foundational capabilities, setting the stage for broader adoption and future monetization through the $IFX economy.

The Alpha release focuses on enabling users to easily upload, generate, manage, and explore structured datasets in a secure and intuitive environment.


What the Inflex AI Alpha Includes

1. Data Upload & Generation Engine

Users can contribute structured or unstructured data directly via the Inflex AI interface.

  • Supports multiple formats: CSV, JSON, Parquet, DOCX, and PDF

  • Simple, no-code upload process for ease of use

  • Prompt-based AI-assisted dataset generation for creators without existing data

  • Ideal for subject-matter experts, researchers, or open data contributors

  • Designed to reduce onboarding friction for non-technical users


2. Basic Dataset Management

Datasets can be managed through the Inflex AI Data Studio interface.

  • Edit dataset titles and descriptions

  • Set datasets as public or private

  • Prepare contributions for future monetization, sharing, or integration


3. Conversational AI Chat (Basic Preview)

Interact with your dataset using an integrated AI chat interface.

  • Ask natural-language questions directly to your dataset

  • Preview functionality that simulates future agent and LLM querying

  • Public datasets have a 3-query limit

  • Logged-in users who upload at least one dataset unlock unlimited queries


4. Social Sharing

Promote and share datasets for visibility, collaboration, and community use.

  • Share datasets across social platforms and within the Inflex AI ecosystem

  • Invite public feedback, discovery, and remixing

  • One-click share button to copy direct dataset links


5. Faucet for Testnet Walrus

Enable testing and onboarding without requiring real token balances.

  • Walrus test credits simulate decentralized storage environments

  • Seamless onboarding experience for early testers, builders, and developers


This Alpha release marks the first step in delivering a modular, composable data economy. Future releases (beginning with Sprint 1) will expand functionality, enable tokenization, and introduce deeper integrations for agents, enterprise systems, and cross-chain applications.

What’s Next: Release v.01

Last updated