A sovereign simulation platform where states harden their critical sites against drone attacks, and where drone makers benchmark their systems against a neutral standard. Impartial, reproducible, sovereign.
BLACKSOFT is an impartial adversarial-simulation platform. Every system is evaluated with the same methodology, on an iso-hypothesis basis, like a blind AI ranking. The verdict is credible precisely because it serves no vendor.
States harden their critical sites; drone makers benchmark their systems, on a single neutral physics engine. We take no side and sell no hardware — our only output is the evidence.
From FPV attack drones and loitering munitions to swarms and stealth UCAVs, hostile UAVs threaten airports, stadiums, prisons, and critical infrastructure — and the threat evolves week to week. Yet a state usually discovers how well its anti-drone bubble actually performs only under attack, or through slow, biased prime-contractor studies. Our threat library is built from open-source intelligence on documented UAV classes, modeled to real physics, so you can run the fight before it happens.
Low-cost drones are produced by the hundreds of thousands. Defenders must answer swarms without spending too many, or too few, effectors.
An arms race on maximum speed (Vmax) between attack and defense vectors. Speed and maneuverability decide the outcome.
Cities, bases, ships and infrastructure need a protective dome that detects, classifies, and neutralizes intrusions in seconds.
Complementary simulators, built around AI and multi-agent modeling, feed a single decision platform: capability sizing, optimal trajectories, swarm-counter-swarm, and a scored, fully auditable verdict.
Bracken–Lanchester equational models answer the core question: how many effectors to commit against N hostile drones to neutralize them at a target probability, with fully auditable assumptions.
Pursuit and proportional-navigation guidance in 2D/3D, one-on-one, multi-drone and "wall of drones" scenarios, revealing the speed-ratio threshold that governs success.
Cross-stochastic and Monte-Carlo methods for optimal commitment of effectors against swarm attacks (SCS), complementing the equational model.
Test the robustness of an anti-drone dome: deploy ground and airborne C-UAS components on 2D/3D maps, simulate attacks, measure performance, and reconfigure the shield.
Our engagement model uses proportional navigation, the guidance law used by real missiles, commanding lateral acceleration proportional to the line-of-sight rotation rate:
Validated across thousands of simulations, three conclusions guide the modeling:
BLACKSOFT sells no drone and no effector. Every system is scored with the same methodology, on an iso-hypothesis basis, so the verdict is credible precisely because we have nothing to sell you but the evidence.
Procure on proven performance instead of vendor claims. Every number is sourced, every assumption explicit and editable, and the whole verdict is reproducible and re-runnable on every threat evolution.
Our simulation work has been presented at defense-research conferences and is referenced by leading teams in the field. Deep expertise, fast iteration.
On-premise or air-gapped deployment. Makers never see a state's real defenses; states never expose their configuration. Each side feeds the engine, neither sees the other.
Defenders attack their own sites virtually; makers prove their drones against standardized defenses — on the same physics engine. Strict data separation by design: makers never see a state's real defenses, states never expose their configuration.
Load a digital twin of a site, run the threat library, and get a scored verdict with hardening recommendations — like a penetration test for airspace, fully traceable and re-playable by the evaluator.
Makers test their UAV in the simulator and receive a neutral benchmark against standardized defenses — the certification buyers ask for, with rankings kept anonymized and sovereign.
Impartiality is the moat. Like a model leaderboard, a neutral, reproducible benchmark becomes the reference makers compete to be in, and the badge buyers ask for. BLACKSOFT sells no effector and no drone — the verdict is credible precisely because it serves no vendor. The standard is the methodology.
For states, critical-infrastructure operators and drone makers: request a sovereign demo of the BLACKSOFT simulation platform.
blacksoft.ai@protonmail.com