Inflectiv AI Roadmap

Phase 1 — Kepler (Alpha) — LIVE

Focus: Dataset creation, ingestion, and AI agent workflows

Data ingestion & knowledge creation

• Upload and process files (PDF, DOCX, TXT, MD, CSV, JSON, XLS, spreadsheets)

• Import data from URLs and web sources

• Generate synthetic datasets using AI

• Automatic chunking and semantic indexing

Dataset management

• Create and update datasets using natural language

• Public datasets and community browsing

• Dataset visibility controls (public/private)

• Encryption with Seal for secure datasets

• Decentralized storage via Walrus

Agent creation & usage

• Create AI agents using natural language

• Update agent behavior via prompts

• Public agents for testing before purchase

• Private sandbox agents for development

• Query datasets through agents

Blockchain & authentication

• SUI zkLogin authentication

• Wallet connection (Suiet and others)

• Native encryption and decentralized storage integration

Platform foundations

• Marketplace as primary entry point

• Dataset and agent dashboard structure

• Improved ingestion stability and validation

• Migration of legacy users, datasets, and chats

• Blog and content publishing system

---

Phase 2 — Cassini (Beta) - LIVE

Focus: Marketplace economy, subscriptions, API access, and platform growth

Marketplace & monetization

• Paid datasets and premium access

• Marketplace filters and discovery improvements

• Dataset editing and listing management

• Platform fee system

• Referral and affiliate program with tracking

• Creator commissions and withdrawal flow

Credits, billing & subscriptions

• Tiered subscription plans

• Payments in crypto or fiat

• Credit usage tracking and limits

• Credit rewards and top-ups

Developer ecosystem

• Public API access for datasets and agents

• SDK support for builders

• Model Context Protocol access for integrations

• Foundations for connecting Inflectiv to external AI systems

AI intelligence & dataset quality

• Automatic dataset quality scoring

• Auto-detected language, domain, and data type

• Suggested dataset use cases

• Mobula integration for token metadata enrichment

User onboarding & UX

• Guided onboarding flows for new users

• Marketplace tutorial rewards

• Improved dataset creation calls-to-action

• Search improvements and navigation upgrades

• Profile and account management updates

Platform expansion

• New Inflectiv app UI

• New marketing landing page

• Expanded file format support

• Scalable storage tiers based on subscription

---

Phase 2.x — Ongoing Updates

Currently in progress or planned next

Support & operations

• AI helpdesk trained on Inflectiv documentation

• Ticketing fallback support system

• Promo code management and upgrades

Admin & analytics

• Admin panel for platform management

• Manual user and credit controls

• PostHog analytics integration

Trust & identity

• Creator badge system (profile completion, subscriber tiers, verified providers)

• Future KYB verification for licensed or IP datasets

Marketplace enhancements

• Creator profile pages with public info and listings

• Featured and promoted datasets

• Improved dataset tagging and categorization

Data tools

• Dataset splitter and automated dataset generation pipelines

• Improved token search and historical data enrichment via Mobula

• ElizaOS integration for advanced chatbot deployment

---

Phase 3 — Voyager (Future)

Focus: Tokenized datasets, protocol economy, and large-scale infrastructure**

Tokenization infrastructure

• INAI token deployment across Base and SUI

• Dataset token factory for launching tokenized datasets

• Creator token allocation and vesting logic

• Token metadata and mapping to datasets

• Tokenization UI and backend trigger flows

• Tokenization fees and activation mechanics

Bonding curve launch model

• INAI-denominated bonding curves for dataset tokens

• Curve parameters and pricing configuration

• Investor token purchases through curves

• Automatic curve completion detection

Liquidity & graduation

• Automatic liquidity pool creation

• Supply allocation between LP and investors

• Automatic transition from curve to LP trading

Revenue routing & buybacks

• Dataset credit metering and usage tracking

• Revenue splitter (buyback, treasury, operations)

• Buyback thresholds and execution logic

• Token burn mechanics

• Buyback logging and transparency

Marketplace token integration

• Tokenized dataset labels in marketplace

• Optional token-priced dataset access

• Token volatility warnings for users

Investor & analytics dashboards

• Dataset token dashboard with price, liquidity, and buyback history

• Investor discovery views

• Monitoring for pools, meters, and buybacks

• Anti-farming protection rules

---

Phase 3.1+ — Platform Scale (Planned)

Organization & enterprise features

• Multi-user organizations with roles and permissions

• Team dataset collaboration and governance

Advanced ingestion

• Sensor and IoT data ingestion pipelines

• Real-time streaming data support

Agent ecosystem

• Native ElizaOS agent support

• Integration with external agent ecosystems (e.g., Virtuals)

• Agent marketplace with discovery and ratings