Sahya AI

Overview

Sahya AI is the proprietary, software-defined flight-control and pilot-assist framework developed by SahyaLabs LLP. Designed as the core intelligence layer for the Sahya CX1 (Technology Demonstrator 1 / TD1) eVTOL air taxi, Sahya AI bridges deep-tech autonomous robotics with stringent aerospace certification standards. Beyond powering SahyaLabs' own aircraft, Sahya AI forms the backbone of an asset-light, high-margin "Aero-SaaS" licensing engine for global Original Equipment Manufacturers (OEMs) seeking safety-certified, human-in-the-loop flight operations.

Key Capabilities & Operational Features

Human-in-the-Loop Co-Pilot Architecture: Sahya AI acts as an Augmented Intelligence safety overlay rather than a complete pilot replacement. The human pilot retains high-level tactical command while Sahya AI manages real-time flight envelope protection, wind shear compensation, and micro-adjustments.

Active Obstacle Shielding (Visual Fencing): Monitors near-field and long-range hazards (such as cranes, power lines, or non-cooperative aircraft). If a path violates safety buffers, Sahya AI creates virtual tactile resistance or auto-executes evasive setpoints.

Dynamic Coaxial Failure Compensation: Built specifically to manage the aerodynamic complexity of coaxial X8 octocopters. If a motor or power bus fails, Sahya AI detects the drop in thrust and instantly recalculates motor-mixing matrices across the remaining active motors to keep the airframe level.

Precision Hover-Lock & Optical Anchoring: Integrates downward optical flow with LiDAR point clouds to "anchor" the craft over vertiport landing pads, counteracting urban thermal updrafts and "toilet-bowl" GPS drift.

Explainable AI (XAI) & Neuroadaptive Feedback: Converts system telemetry into natural language alerts (e.g., checklist verification, course change rationale) to reduce pilot cognitive load during high-stress flight phases.

Federated Learning (FL):  This is a core software feature of Sahya AI that enables continuous, decentralized model improvement across active eVTOL fleets without requiring raw sensor data to be continuously offloaded to central servers

Scroll to Top