Deep Dive
1. Cross-Device Integration (2025+)
Overview: Limitus plans to extend its voice-driven automation to Android, iOS, and macOS, enabling unified control of Web2/Web3 tasks (e.g., trading, scheduling) across smartphones, PCs, and IoT devices. This aligns with its goal to become a universal interface for decentralized and traditional systems.
What this means: Bullish for LMT because broader device support could accelerate adoption among non-technical users. Risks include integration delays with Apple/Google ecosystems and competition from existing AI assistants.
2. Enhanced Privacy & Local Execution (2025+)
Overview: The roadmap prioritizes transitioning to fully localized AI processing using homomorphic encryption and zero-knowledge proofs, allowing sensitive operations (e.g., healthcare/IoT data) to run entirely on users’ devices without cloud reliance.
What this means: Neutral-to-bullish, as privacy-focused features may attract institutional users but could limit scalability. Success depends on balancing computational efficiency with on-device resource constraints.
3. Autonomous Workflow Automation (2025+)
Overview: Limitus aims to automate complex cross-domain workflows (e.g., DeFi yield strategies + calendar management) via its Retrieval-Augmented Generation (RAG) framework, integrating real-time blockchain data with traditional apps.
What this means: Bullish if executed well, as seamless automation could position LMT as a Web3 “operating system.” Bearish risks include over-reliance on volatile crypto markets and regulatory scrutiny of AI-driven financial tools.
Conclusion
Limitus’s roadmap focuses on interoperability, privacy, and AI-driven automation, aiming to bridge Web2/Web3 ecosystems. While ambitious, execution risks and market saturation in AI tools remain hurdles. Will decentralized, voice-first interfaces gain traction faster than centralized competitors?