Spexi delivers ultra-high-resolution obliques & orthosmosaics that bring precision, clarity, and frequency to Hivemind’s training pipeline. When autonomous flight depends on vision, Spexi gives you the cleanest view possible.
Spexi’s obliques, orthos, and Standard Image API supply the real-world data needed for flight simulations that actually match reality. Spexi’s Ultra-high resolution imagery helps autonomy teams validate route logic, optimize low-altitude pathfinding, and test navigation algorithms with real terrain.
Even the best imagery leaves gaps that limit model accuracy. Temporal data gaps cause model drift and data decay. Spexi’s time-series obliques deliver fresh visual intelligence so AI models can learn from real environmental changes; critical for mission validation, re-training, and target tracking accuracy.
Relying on fixed-wing or satellite imagery means training autonomy systems on data that’s often weeks or months old. Spexi’s frequent, high-resolution aerial data provides the clarity and recency Hivemind needs to interpret terrain, identify hazards, and maintain precision.
Spexi is trusted by leading governments, disaster response teams, and real estate professionals who need fast, verifiable, and sustainable imagery.
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Integrate high-resolution obliques directly into Shield AI’s autonomy stack. Reliable, fast, and structured for real-time training and simulation pipelines.
A secure, browser-based viewer for autonomy engineers and analysts to inspect, compare, and validate mission areas. Ideal for reviewing terrain features, change detection zones, and test environments before deployment.
Geo-accurate stitched imagery and digital terrain models for autonomy development and mission rehearsal. Perfect for simulation-to-reality workflows and for training vision models on real-world topography.
Every decision Hivemind makes depends on what it sees. Spexi keeps that view current, sharp, and true to the world it flies through. Build autonomy that learns faster, reacts sooner, and operates with confidence.
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