Aerospace
Modern aircraft and spacecraft carry more RF systems than ever: multi-band communications, navigation, sensing, and data links, each of which must perform reliably once installed alongside the others on a real airframe or satellite bus. Large satellite constellations have pushed this to unprecedented scale, with operators deploying hundreds to thousands of coordinating spacecraft.
The engineering challenge
An antenna that performs well in isolation behaves differently once mounted on a structure with its own scattering, blockage, and coupling effects. As-installed performance is the question that matters, but it is also the hardest one to answer.
As the platform grows electrically large, legacy tools either run out of memory and force you to simplify the model, or switch to asymptotic approximation methods that lose the effects deciding installed behavior. Meanwhile, traditional design-fabricate-test cycles are too slow for the timelines constellation programs actually run on.
Isolated antenna models miss the scattering, blockage, and coupling introduced by the platform itself
Large phased arrays with many beams exceed what legacy tools can solve at full fidelity
Simplified models and approximations put the accuracy of as-installed predictions in doubt
Prototype-driven iteration is too slow and too expensive at constellation scale
The Nullspace solution
Nullspace EM simulates the problem as it exists in the field. The array, the payload, and the surrounding structure are solved together, with the same rigorous full-wave solver used for the smallest component.
Because it was architected for modern parallel CPU and GPU computing, electrically large aerospace problems run on hardware your team already has, and the Python-native interface puts simulation directly inside your design workflow.
Antennas and arrays are solved as installed, with the platform's structural effects computed in full
One full-wave formulation runs from a single element to the complete spacecraft or airframe
Full-wave physics is preserved at every scale, so as-installed predictions can be trusted
Fast, automatable simulation lets designs be validated before hardware is built
Applications
Ease of deployment
All licenses are floating, with a simple licensing model: annual lease or perpetual purchase. No additional charges for GPU or CPU use, and no size limit on models.
Built for secure environments
Air-gapped operation, no internet connection required. CMMC Level 2 compliant - deployed at facilities meeting NIST 800-171 and NIST 800-53 controls. Successfully deployed on multiple classified information systems.
Runs on your existing on-prem hardware
Runs on your existing on-premise hardware, or on AWS and Google Cloud if you prefer.
Customer-driven feature development
Customer-driven feature development and roadmap acceleration, available when your team needs a specific capability sooner.
How much are you leaving on the table?
The studies you skip, the designs you simplify, the deadlines you stretch. What if you didn't have to?