Product Roadmap
2025
2026
Build secure, autonomous AI twins that can learn from personal data, operate with traceable logic, and be delegated or monetized through tokenized access.
Q2 2025
Functional Prototype & Secure Memory Layer
Twin Interface + Structured Onboarding
Launch the first user interface for uploading content and creating personalized AI twins.
Clean Memory Storage
Secure and isolate each twin’s memory in private databases for safe, queryable storage.
Controlled Execution Environment
Run each twin in isolated containers with resource limits and audit trails.
Alpha Pilots
Test with select users (freelancers, researchers) to validate twin behavior and practical use cases.
Q3 2025
Twin Actions, Logging, and Beta Access
Twin Task Chaining
Allow twins to perform multiple steps in sequence, with logic and fallbacks.
Real-Time Logs
Enable traceable twin behavior via logs that explain reasoning and output.
Config Save & Restore
Let users version, share, and roll back their twin setups like presets.
Deploy Button
Execute real-time twin sessions with visual output and session memory.
Open Beta Launch
Open up to broader usage and structured feedback collection.
Q4 2025
Monetization, Access Control & Marketplace
Tokenized Access
Allow users to grant access to their twins via revocable, usage-bound tokens.
Usage-Based Billing
Introduce pay-per-use mechanics for twin interactions.
Twin Marketplace MVP
Launch a curated marketplace for discovering and renting verified twins.
Freelance Platform Integrations
2026
Infrastructure, Ecosystem, and Autonomy
Secure Execution (Confidential Compute)
Enable highly private twin runs in trusted environments.
Twin Identity Protocol
Link twins to wallets and verifiable credentials to establish ownership.
Open Source Core
Release the runtime and libraries for developers to extend or self-host.
DAO Governance Layer
Allow the community to propose and vote on platform changes.
Twin Collaboration Protocol
Let twins delegate sub-tasks to each other, enabling complex autonomous workflows.