Roadmap & Releases
Kepler Updates
Kepler Alpha release: core capabilities and sub-releases.
Kepler (Alpha)
Kepler is Inflectiv's Alpha release, the first functional layer of the Global Data Infrastructure for AI. It delivers the Core Product, giving users hands-on access to tools that transform trapped data into structured, AI-ready, and interactive datasets.
Kepler is where contributors, enterprises, and researchers can first upload, structure, and explore datasets in real time — laying the foundation for tokenization and monetization in later phases.
Core Capabilities of Kepler
- Dataset Creation & Upload — Upload structured/unstructured files (CSV, JSON, DOCX, PDF, Parquet), scrape websites or import data via API
- AI Structuring & Processing — Schema-verified formatting for machine- and agent-readiness, deduplication, cleaning, and enrichment, trust-certified validation for accuracy and reliability
- Dataset Management (Data Studio) — Edit dataset titles, descriptions, and metadata
- Conversational AI (Preview) — Query datasets directly through integrated AI chat. Public datasets: 3-query limit. Logged-in users with 1+ dataset: unlimited queries
- Social Sharing & Discovery — One-click share links for promotion across Inflectiv or social media
Kepler Sub-Releases
- Kepler 1.0 — Launch release with dataset creation, structuring, AI chat, and social sharing
- Kepler 1.0.1 — Walrus upload and Seal encryption (both mainnet)
Info
Kepler is the foundation. It proves Inflectiv's ability to transform fragmented knowledge into structured, usable assets, unlocking the journey toward Cassini (Beta) for tokenization and monetization, and Voyager (Mainnet) for institutional adoption.
Kepler 1.0.1
Kepler 1.0.1 marks the first mainnet milestone for Inflectiv: datasets can now be encrypted and uploaded live with cryptographic guarantees.
Seal Encryption
- Datasets are encrypted end-to-end with Seal before being made available
- Only authorized wallets (via allowlists or token-gates) can decrypt and access
- Ephemeral keys ensure data never remains in plaintext outside secure environments
- Programmable rules allow creators to define who can view, edit, or extend a dataset
Walrus Upload (Mainnet)
- Encrypted datasets are stored via Walrus, ensuring decentralized availability
- Mainnet support means persistent, verifiable storage beyond test environments
- Integration provides a scalable, DePIN-friendly layer for structured intelligence
Why Kepler 1.0.1?
- From testnet → mainnet: real-world permanence and security for datasets
- First dual-layer milestone: encryption (Seal) + availability (Walrus) = complete foundation for secure dataset publishing
- Sets the stage for Cassini: tokenization, licensing, and marketplace access