The OpenGrab Product Suite
Two flagship platforms engineered for real-time acoustic computing and AI-native aerial navigation: OpenGrab Voice and OpenGrab Air.
OpenGrab Voice
Turn spoken intent into direct computer actions, structured text, and operating system workflows.
Low-Latency Acoustic Streaming
Continuous speech capture with sub-50ms acoustic streaming for uninterrupted dictation and instant command execution.
Context-Aware Intent Engine
Intelligently extracts semantic intent with real-time awareness of active application windows, selected files, and recent workspace context.
Native Operating System Actions
Dispatches keyboard shortcuts, file system commands, application switches, and multi-step desktop workflows.
Zero-Telemetry Acoustic Security
Local acoustic processing designed with strict zero-retention principles to protect enterprise privacy.
OpenGrab Air
OpenGrab Air gives autonomous aerial systems the ability to understand space, perceive their environment, localize themselves, plan movement, anticipate traffic, and navigate through changing airspace.
AirMap AI Living Airspace Map
Envisioned as a continuously evolving spatial representation connecting terrain, infrastructure, aircraft, corridors, restrictions, and mission context.
Context-Aware Dynamic Trajectory Replanning
Autonomous spatial trajectory recalculation adapting flight paths in milliseconds when obstacles, weather shifts, or geofences appear.
Neural Edge Computer Vision & Perception
Onboard visual perception transforming aerial imagery into 3D geometry, semantic segmentation, and obstacle tracking with sub-10ms inference.
Multi-Agent Swarm Airspace Coordination
Decentralized peer-to-peer airspace coordination organizing multiple autonomous operations across stratified altitude transit layers.
One Unified SDK for OpenGrab Voice & Air
import opengrab
# Initialize OpenGrab Unified Client
client = opengrab.Client(api_key="og_live_secret_...")
# 1. Real-time Acoustic Voice Stream
voice_session = client.voice.create_session(
sample_rate=48000,
model="neural-acoustic-v4",
zero_retention=True
)
# 2. 3D Sky Navigation & Autonomous Drone Mesh
sky_corridor = client.air.request_corridor(
drone_id="og-quad-842",
altitude_m=120,
destination_coords={"lat": 37.7749, "lng": -122.4194}
)
print(f"Air Corridor Status: {sky_corridor.status} | Active Swarm Nodes: {sky_corridor.active_peers}")