Compute and decision logic close to the sensor
Send events and insights instead of raw streams
Reduce dependence on manual operation loops
Operate in constrained and intermittent connectivity
Built for real-world perception, not demo environments
A full-stack edge AI architecture purpose-built for drone operations — inference, sensing, and reporting without cloud dependency.
Computer Vision at the Edge
Real-time perception pipelines designed to understand complex environments directly on airborne systems.
On-Board Inference
Low-latency AI execution on-device, without dependency on constant cloud connectivity or live video streaming.
Autonomous Operations
Mission logic, event detection, and decision support integrated into a unified edge-native architecture.
Multi-Sensor Intelligence
Designed for RGB, thermal, LiDAR, OGI, and GPR sensing modalities to create actionable situational awareness.
A better operating model for autonomous drone systems
The architecture makes decisions as close as possible to the source of data. That changes speed, cost structure, operational resilience, and the scale at which the system can be deployed.
Real-time decisions where data is created
Event-driven reporting instead of constant video transfer
Resilient operation in bandwidth-constrained environments
Architecture built for scale across multiple industries
Privacy by design. GDPR compliant by default.
Our edge-first architecture is inherently privacy-preserving. Data is processed on-board the drone — raw video never leaves the device, and only anonymised event metadata is transmitted.
On-Device Processing
Raw sensor data is processed locally and never streamed to the cloud. Only structured event reports leave the drone.
GDPR Compliant
Built for European regulatory standards. Data minimisation, purpose limitation, and privacy impact assessments are embedded in the platform design.
Data Minimisation
95–99% less data transmitted. No continuous video recording, no mass surveillance — only actionable, anonymised event alerts.
Data Sovereignty
Deployable on-premise or in sovereign cloud environments. Full control over where data is stored and processed.
One cohesive stack for airborne sensing and decision support
The same core stack — drone + edge AI + dock + SaaS — is adapted to entirely different industries by changing a single variable: the sensor and model combination.
One platform, multiple billion-dollar verticals
We enter via high-ROI markets and compound as a cross-industry autonomous systems platform. Changing sensor + model = new market.
Security
Autonomous perimeter patrols, intrusion detection, and dual-use defence deployments. $262B global market.
Energy
Solar and wind asset inspection, thermal anomaly detection, and predictive maintenance. $20B+ global market.
Smart Cities
Traffic analytics, pedestrian safety, urban mobility intelligence, and real-time occupancy detection at scale.
Maritime
Offshore monitoring, port security, LNG infrastructure protection, and autonomous 24/7 patrols from floating docks.
Every new sensor opens a new vertical
The architecture was built from day one to expand — not to specialise. Every sensor added to the platform opens a new vertical. Every new AI model creates a new market.
Early wildfire and industrial fire detection at scale, across vast areas no ground system can cover.
Millimetre-accurate structural inspection of bridges, towers, and critical civil assets.
Sub-surface analysis of pipelines, cables, and geological formations — without excavation.
Invisible methane and gas plume detection across oil, gas, and industrial facilities.
Let's build autonomous infrastructure together.
Orientic.AI is deploying the AI layer for the physical world. A single platform that turns any drone into an autonomous decision system, at any scale, in any industry.
We are ready to deploy in your environment — security, energy, maritime, or urban.
Co-develop verticals, integrate with existing infrastructure, or license the core platform.
Secure preferential access and shape the product roadmap for your specific market.