Something big is on the horizon

AI-Native
FPS Simulation Engine

Real-time physics, neural rendering, and adaptive opponent AI —
purpose-built for the next generation of gaming and VR training.

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# 91FPS Simulation Scenario Definition
scenario "urban_breach_v2" {
  // AI-driven environment
  environment {
    map            = "industrial_complex"
    time_of_day    = "dynamic"
    weather_model  = "neural_weather_v3"
  }

  // Adaptive opponent squad
  opponents {
    count          = 12
    behavior       = "llm_tactical_v2"
    difficulty     = "adaptive"
    coordination   = "squad_ai"
  }

  // VR-optimized rendering
  rendering {
    mode           = "foveated"
    upscale        = "neural_4x"
    target_fps     = 120
  }
}

Platform

Everything an FPS platform should handle

From physics to AI opponents, one unified simulation runtime.

Neural Physics Engine

AI-driven bullet trajectory prediction, material penetration modeling, and real-time collision resolution at microsecond precision.

Adaptive Opponent AI

LLM-powered tactical decision trees that learn from player behavior, delivering unpredictable and human-like engagement patterns.

VR-Native Rendering

Foveated rendering with neural upscaling achieves 120 FPS per eye at 4K resolution — no reprojection artifacts, no motion sickness.

Sub-10ms Sync

Deterministic netcode with edge-computed hit registration. Multiplayer state sync at under 10 milliseconds, globally.

Procedural Generation

Generate infinite, playable maps from natural-language prompts. Each environment is unique, balanced, and AI-validated for competitive integrity.

Performance Analytics

AI-powered hit registration analysis, skill tracking, and predictive performance metrics — real-time dashboards for players and coaches.

Developer Experience

Infrastructure that scales with your ambition

From prototype to production, 91FPS provides the tools to build, test, and deploy AI-powered FPS experiences.

Python SDK REST API WebSocket

# Initialize a simulation instance
from fps91 import Simulation, Scenario

async def main():
    sim = Simulation(
        scenario="urban_breach_v2",
        players=24,
        region="us-west-2"
    )

    # Deploy adaptive AI opponents
    await sim.spawn_ai(
        count=12,
        model="tactical-v3",
        difficulty="adaptive"
    )

    # Stream real-time telemetry
    async for event in sim.stream():
        print(f"Tick {event.tick}: {event.hit_registration}")

scenario.yaml

# Scenario configuration
api_version: "v3"
scenario:
  name: "night_ops_warehouse"
  mode: "team_deathmatch"
  max_players: 32

ai_settings:
  opponent_count: 16
  behavior_model: "tactical-v3"
  personality: "aggressive_patrol"

rendering:
  target_platform: "vr"
  foveated_rendering: true
  neural_upscale: "4x"

networking:
  sync_mode: "deterministic"
  tick_rate: 128
  region: "auto"