Nebulous

The Engineering Bottleneck

Many of the most interesting science and engineering problems sit in regimes where conventional design approaches are stretched to their limits: signals are rare, constraints are tightly coupled, and/or performance is shaped by complex physical environments or backgrounds.

In these settings, even expert-driven design cycles can only examine a small fraction of the possible solution space. Exhaustive parameter sweeps quickly become intractable, while conventional optimization methods can miss unconventional but buildable architectures that offer meaningful performance gains.

The Nebulous Solution

Nebulous closes this gap by combining evolutionary optimization, AI-guided search, and physics-based simulation to:

• Explore immense, highly constrained hardware design spaces.
• Optimize across multiple scientific and engineering objectives at once.
• Evaluate performance, robustness, and uncertainty under realistic operating conditions.

This approach helps identify unconventional but buildable hardware designs that are difficult to find through conventional design workflows alone, opening access to new measurement regimes and enabling instruments, antennas, and spacecraft systems that must operate under strict constraints.