Seeking Technical Co-Founder for QERRA-v2 – Ethical AI Safety Layer for Humanoid Robots (ROS 2)
Solo founder offers 50/50 equity for a partner to build an open-source ethical engine for humanoid robots.
Marussa Metocharaki, the solo founder behind the QERRA-v2 project, is publicly seeking a technical co-founder to join her in building what she describes as an "open-source hybrid quantum-classical ethical decision engine." This software is designed as a practical safety layer for humanoid robots and other high-stakes autonomous systems, aiming to integrate ethical reasoning directly into robotic deliberation and planning. The founder is offering a 50/50 equity split for a partner with strong expertise in ROS 2 (Robot Operating System 2), specifically in behavior trees and planning architectures, alongside a background in AI safety or robotics software.
The QERRA-v2 project is already in an advanced conceptual and technical state. It boasts a live public API capable of real-time toxicity detection and scoring against its proprietary SEMEV-12 framework—a set of 12 real-life-based ethical dimensions. Most notably, the team has completed a successful 8-qubit quantum proof-of-concept using a W-state on IBM's quantum hardware, suggesting an ambitious fusion of quantum computing principles with classical AI for ethical decision-making. All code and documentation, including a full whitepaper, are available under the AGPL-3.0 license on GitHub, emphasizing the project's commitment to open-source and transparent development in the critical field of AI safety.
- Founder seeks ROS 2 expert for 50/50 equity partnership to build an ethical AI safety layer for robots.
- Project has a live API, a 12-dimension ethical framework (SEMEV-12), and an 8-qubit quantum proof-of-concept on IBM hardware.
- All code is open-source (AGPL-3.0), targeting integration into humanoid robots for transparent, high-stakes decision-making.
Why It Matters
As humanoid robots advance, a verifiable, open-source ethical layer is critical for ensuring safe and responsible autonomous behavior in real-world scenarios.