# MOMUS Labs

- **Event:** [Meta Global AI Developer Hackathon](https://cerebralvalley.ai/e/meta-ai-developer-hackathon)
- **When:** Oct 26, 12:00 PM – Nov 4, 9:00 PM (EST)
- **Where:** Online
- **Team:** [Vehaan Ganesh Vikram](https://cerebralvalley.ai/u/vehaanvikram)
- **GitHub:** https://github.com/VGVik28/MOMUS-Hackathon-2026
- **Demo video:** https://www.youtube.com/watch?v=Y1emrBFENlE&t=2s
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4940

MOMUS: Reality Answers.

Engineering software has a fundamental problem. It can describe physical systems, but understanding them requires more than generating plausible explanations. It requires observation, mathematical models, experiments, and evidence.

MOMUS is an AI-powered spatial engineering workspace designed to bridge this frustrating gap.

Using Meta’s Muse Spark, MOMUS analyzes photographs of real engineering systems (at this stage, primarily complex circuit breadboards) and transforms visual observations into inspectable component proposals. Engineers can verify uncertain values, correct connections, and reconstruct an electrical model that can be simulated using a real physics solver.

I demonstrated this using a breadboard circuit, wiht a set of seven resistors. Meta’s model identified all seven resistors in a real photograph (identifying the colors on the resistor body) and estimated their positions and lead endpoints. After verifying the circuit’s geometry and connections, MOMUS uses modified nodal analysis to investigate how changing a single resistor would affect the system. The user is also able to add and remove resistors digitally before testing the system physically.

On the physical breadboard, increasing R4 from 1 kΩ to 4.7 kΩ changed the measured voltage from 0.69 V to 1.46 V. This closely matched MOMUS’s theoretical prediction of approximately 1.445 V. 

MOMUS also brings engineering investigation into three dimensions through the CAD inspection system present in the subsystem VALKYRIE. VALKYRIE includes mechanical-system visualization, spatial interactions and comparison of CAD models.

My vision is to move AI beyond answering questions about physical systems toward investigating them: observing what exists, predicting what could happen, and confronting those predictions with real-world evidence.

MOMUS isn’t just about making AI more intelligent. It’s about making its understanding of reality testable.

## More from Meta Global AI Developer Hackathon

- [TrustPCB](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4937)
- [Mano](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4938)
- [JakubB](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4939)
- [Darsh Senthil -Tomorrow Lens](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4941)
- [Futuria](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4942)
- [Translucent AI](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4943)

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