RF Engineering Software for HAPS & NTN
The first RF engineering platform built specifically for High-Altitude Platform Systems. ITU-R compliant link budgets, interactive coverage maps, and 3GPP NTN simulation — in one place.
# request { "frequency_ghz": 28.0, "haps_altitude_km": 20.0, "elevation_deg": 40.0, "tx_power_dbm": 33.0, "tx_gain_dbi": 22.0, "rx_gain_dbi": 12.0, "rain_rate": 5.0, "cloud_type": "Clear Sky" } # 200 OK { "distance_km": 31.11, "fspl_db": 151.25, "gas_loss_db": 1.35, "rain_loss_db": 3.73, "cloud_loss_db": 0.0, "total_losses_db": 156.34, "rssi_dbm": -89.34, "margin_db": 10.66, "is_link_up": true }
Most engineers still rely on spreadsheets and generic RF tools that weren't designed for stratospheric platforms. That changes now.
Manual calculations break when you scale across frequency bands, atmospheric conditions, and elevation angles. One wrong cell reference can invalidate an entire feasibility study.
Satellite tools assume orbital mechanics. Terrestrial tools assume ground-level propagation. HAPS operates at 20 km with unique geometry, Doppler characteristics, and atmospheric profiles that neither handles correctly.
Implementing ITU-R P.525, P.676, P.838, and 3GPP TR 38.811 correctly requires deep domain expertise. A single formula error can mean months of rework on your deployment study.
Every product shares the same validated core library — consistent results whether you reach for the API, the dashboard, or the simulator.
RESTful endpoints for free-space path loss, atmospheric absorption, rain attenuation, and complete link budgets — all ITU-R compliant.
Plan HAPS deployments visually — multi-platform constellations, coverage heatmaps, and PDF reports, with no coding required.
Validate HAPS network design against 3GPP specs — time-stepping simulation with Doppler, A3 handover, and HARQ feedback.
Whether you use the API, dashboard, or simulator — the workflow is designed for speed and accuracy.
Set platform altitude, frequency band, antenna parameters, and atmospheric conditions. Choose from preset scenarios or configure custom parameters.
Our physics engine computes free-space path loss, atmospheric gas absorption, and rain and cloud attenuation using ITU-R validated models. Every result is traceable to its source standard.
Review link margins, coverage footprints, and KPI metrics. Export results as JSON or PDF reports ready for stakeholder review.
Every formula is traceable to its source recommendation. No black boxes, no proprietary approximations.
Every number is traceable. Inspect the test suite, read the validation report, and map each result back to its source standard.
A six-tier validation pyramid — code verification, ITU-R / 3GPP reference cases, cross-tool checks, empirical comparison, sensitivity analysis, and continuous integration. v0.9 working draft: explicit about which tiers are operational today and which are scheduled.
Read the whitepaper →Every push runs ruff lint, pytest with a 70 % coverage floor, pip-audit for CVEs, and bandit static analysis. Production images are signed keyless with Sigstore cosign and shipped with an SPDX SBOM.
Every recommendation surfaces as a named field you can read straight off the API response — inspect the math, don't trust a black box.
| ITU-R P.525 | fspl_db |
| ITU-R P.676 | gas_loss_db |
| ITU-R P.838-3 | rain_loss_db |
| ITU-R P.840 | cloud_loss_db |
| ITU-R P.2108 | clutter in coverage maps |
From feasibility studies to deployment planning, our tools support the entire HAPS network design lifecycle.
Evaluate HAPS deployment feasibility before committing to hardware. Model coverage radius, link margins, and atmospheric impact across target deployment regions and climate zones.
Compare multi-platform constellation topologies. Analyze hexagonal, grid, and circular layouts with coverage overlap metrics to optimize platform placement and minimize interference.
Validate NTN channel models against 3GPP specifications. Export structured simulation data for publications, thesis work, and reproducible research.
Test RF parameters across S, Ka, Q, and V bands. Analyze antenna gain patterns, beam configurations, and payload specifications for HAPS platform integration.