Defense
Radar, communications, and electronic warfare systems sit at the center of defense platforms across sea, land, air, and space. The hardest problems are no longer about a single antenna — they are about how dozens of RF systems behave once installed on a real aircraft, ship, or vehicle, where coupling, scattering, and interference between systems determine whether the platform performs as designed.
The engineering challenge
Signature, installed antenna performance, and interference are all governed by the whole platform. But as problems get electrically large, legacy tools hit a wall.
Either they run out of memory and force you to simplify the model, or they switch to asymptotic approximation methods (SBR, Physical Optics, hybrid FEM/SBR) that can't capture important effects like edge diffraction and creeping waves that impact the as-installed performance. Either way, you end up trusting an answer to a simpler problem than the one you actually have.
Simplified models lose the coupling between RF systems that determines real platform behavior
Asymptotic methods miss edge diffraction and creeping waves, which matter most for as-installed performance
EW algorithms need training data at volumes that field measurement can't supply
Cloud-dependent workflows can't be used inside air-gapped environments
The Nullspace solution
Nullspace EM solves the problem as it exists in the field. One full-wave solver handles a single antenna element, a phased array, and that array installed on the complete platform. The formulation never changes and the physics never gets approximated as the problem grows.
The solver was developed inside a U.S. defense contractor on real DoD program deliverables, so it was built for this class of problem from the start.
The same full-wave formulation runs from a single element to the fully installed platform, so nothing is lost moving between scales
Edge diffraction, creeping waves, and coupling are computed in full, because the solver never switches to approximations
Simulation generates synthetic training data with the fidelity needed to capture the relevant physics, where measured EW data doesn't exist
Everything runs on-premise: air-gap capable, CMMC Level 2 compliant, and deployed on classified information systems
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?