Long-term research and development in advanced AI systems
AI Governance for Autonomous Aviation
Developing safety oversight and ethical decision-making frameworks for next-generation autonomous aircraft systems.
As autonomous aircraft systems advance toward widespread deployment, the aviation industry faces critical questions about safety, ethics, and regulatory compliance. How do we ensure AI-powered flight systems make decisions that align with aviation safety standards and ethical principles?
EthosFlight is developing an AI governance layer designed to provide oversight for autonomous flight systems. The project focuses on creating frameworks for safety monitoring, ethical decision pathways, and regulatory compliance for next-generation aviation.
Our work addresses the intersection of autonomous systems, aviation safety regulations, and ethical AI decision-making in high-stakes operational environments.
Safety governance for autonomous passenger aircraft in urban environments
Compliance frameworks for autonomous drone operations beyond visual range
Decision oversight for unmanned cargo and delivery aircraft systems
Safety and ethics frameworks for emerging aviation technologies
EthosFlight is currently in active research and development. We are exploring foundational architectures, regulatory alignment strategies, and core decision-making frameworks.
We are interested in connecting with:
Emotionally Intelligent AI Companion
Building a privacy-first personal AI assistant with emotional perception, long-term memory, and adaptive communication—envisioned as a friendly orange cat humanoid companion.
Current AI assistants lack genuine emotional intelligence, memory continuity, and respect for user privacy. Users want AI that understands them over time, adapts to their communication style, and keeps personal data secure—without sending everything to the cloud.
NILA is designed to be a secure, emotionally perceptive AI companion that helps users stay aligned with their goals, routines, and emotional state through adaptive dialogue and symbolic clarity.
Built on privacy-first principles, NILA processes data locally (LocalFirst architecture), ensuring that personal information never leaves the user's device.
Visual Identity: NILA is envisioned as a friendly orange cat humanoid character—approachable, warm, and uniquely memorable. A sophisticated companion, not a generic assistant. Character design in development.
Detects tone, mood, and emotional patterns to respond with appropriate warmth and clarity
Stores personal facts, preferences, and patterns to maintain continuity across conversations
LocalFirst architecture processes everything on your device—no cloud, no data harvesting
Uses metaphors and imagery to help interpret internal states and create meaning
Adjusts tone and depth based on your emotional bandwidth and context
Helps track routines, habits, and personal systems with gentle accountability
NILA is in conceptual planning and architecture design phase. We are exploring core frameworks for emotional perception, memory systems, and privacy-preserving local processing.
Interested in NILA? We're looking for: