Every radar needs a digital twin.
Yours doesn't have one yet.
AISAR is an AI-native radar simulation and digital twin platform. We replace months of physical testing with software that runs 3,360× faster — built on the largest real-world RF dataset in Europe.
Radar Development Is Stuck in the 1990s
Technology manufacturers spend millions on physical testing that AI simulation could replace overnight.
Companies pay €500K/year for EW simulation tools. Every radar program needs simulation. Most can't afford dedicated infrastructure.
Active radar (AESA) development takes 2–3 years. 40% of that timeline is physical testing that simulation replaces. That's 7–14 months you get back.
A single antenna pattern measurement campaign costs €80–150K and takes weeks to schedule. Our digital twin delivers equivalent results in hours.
Built for the Organizations Shaping the Future of Radar
Radar & Sensor Manufacturers
Indra, HENSOLDT, Rheinmetall, Thales, Leonardo. Accelerate AESA development, replace expensive simulation contracts, and validate designs before fabrication.
Detection System Integrators
Dedrone, D-Fend, DroneShield, Squarehead, Robin Radar. Test and validate detection systems against 37 drone types without flying a single aircraft. Reduce certification timelines by months.
Airport & Infrastructure Operators
AENA, Fraport, ADP, Heathrow. Certify counter-drone systems, train operators in simulation, and meet CER Directive compliance requirements. 100+ EU airports face mandatory drone defense obligations by 2027.
Universities & Research Institutions
Cloud-tier access for radar research, student training, and academic publications. Built on open frameworks (PyTorch, TensorRT) that integrate into existing academic workflows.
One Platform. Three Engines.
AISAR replaces physical labs, accelerates timelines, and optimizes designs — all in software.
Passive Radar Twin
Simulate what you detect.
Digital twin of RF, acoustic, and optical detection systems. Simulate drone signals across 37 platform types, test classification AI against real-world RF signatures, validate multi-sensor fusion logic — without flying a single aircraft or scheduling airspace clearance.
Active Radar Twin
Build the radar before you build the radar.
Full AESA simulation: beam patterns, T/R module behavior, Range-Doppler processing, CFAR detection. Replace 40% of physical testing. Calibrate arrays virtually. Export parameters directly to hardware fabrication.
AI Optimization Lab
AI-augmented engineering: 127 evaluations instead of 10,000.
ML surrogate models run 3,360× faster than full EM simulation. Bayesian optimization finds optimal antenna designs in 127 targeted evaluations instead of 10,000 brute-force iterations. The engineer stays in the loop — AI removes the busywork, not the expertise.
From Physical Lab to Software in 3 Steps
Build the Digital Twin
Import your radar specifications — antenna geometry, T/R module parameters, signal chain configuration. AISAR's AI auto-generates the physics model. Setup: 2–4 weeks for full system characterization.
Run Thousands of Scenarios
Virtual anechoic chamber. Environmental simulation — rain, ground clutter, multipath, electronic interference. Monte Carlo analysis across parameter space. AI surrogate models deliver 3,360× speedup. Run overnight what would take months in a physical lab.
Export Production-Ready Designs
Neural networks predict optimal antenna dimensions, beamforming weights, and T/R module configurations. Output: design-ready parameters, calibration files, production specifications. Result: 40% less physical testing required before first article.
- 18–36 months development
- €2–5M in physical testing
- Weeks to schedule anechoic chamber
- Sequential, one-at-a-time iterations
- 6–12 months (40% reduction)
- 90% of testing in software
- Minutes to run virtual chamber
- 3,360× parallel AI-accelerated runs
Real-World Data Meets AI-Native Engineering
The only team in Europe combining real operational RF intelligence with deep radar engineering and AI-native architecture.
“Our team processed millions of real-world RF signatures across 37 distinct drone platforms in high-intensity operational environments. We analyzed evolving electronic countermeasure tactics and live signal intelligence under conditions no laboratory can replicate. This dataset — the largest of its kind in Europe — is the foundation of AISAR's classification accuracy and the reason our models outperform lab-trained alternatives.”
Field-Validated Data
Our RF training data comes from operational environments — not simulated scenarios. 37 drone types. Real-world signal signatures across diverse electromagnetic conditions. Validated against live detection systems. No competitor has this dataset.
We Build the Radars We Simulate
We don't just model radars — we design them. Our hardware team architects AESA radar arrays from T/R modules to beamforming algorithms. When we simulate, we simulate our own systems first.
AI-Native Architecture
Built from day one on PyTorch, TensorRT, and NVIDIA Jetson edge computing. Not a legacy simulation tool with AI bolted on. AI is the core computational engine, not a marketing feature.
Access to real field testing
We have access to the most real-world RF environments for testing and validation in Ukraine.
Platform snapshot
A quick look at the AISAR simulation center — real data, interactive controls, and client-ready reports.
- •Interactive simulation dashboard — configure scenarios, sensors, and runs.
- •Real operational RF datasets and AI-powered classification, ready for client integration.
- •Exportable reports and data artifacts for procurement and verification workflows.
Nobody Combines AI + Field-Validated Data + SaaS
Every radar needs a digital twin.
Let's build yours.
$2.5B market. AI-native. Field-validated. European sovereign technology. Talk to us.