Architecture
Technology & How It Works
Across the portfolio, AiRK systems share one architecture: compute at the edge, AI for perception and decisions, and tight integration with the operational systems you already run.
The common pattern
Whether it's a calling agent, a fleet of AMRs, or a monitoring drone — the architecture is the same.
Edge compute on-device
All real-time processing happens on the device itself — a Jetson-based AI system for the calling agent, embedded compute on the robot or drone for others. No cloud round-trip for time-critical decisions.
AI perception & understanding
Lightweight, task-specific AI models handle speech recognition and synthesis, visual anomaly detection, spatial navigation, and environmental sensing — tuned for the domain, not general-purpose.
Hybrid deterministic + AI control
Critical paths use deterministic logic — finite-state machines and rule engines — for reliability. AI handles the flexible parts: intent interpretation, anomaly classification, path adaptation. Auditable throughout.
Integration into your systems
Results — confirmed deliveries, material movement events, inspection alerts — are pushed into your OMS, CRM, WMS, and ERP via bi-directional APIs. The system fits your operation; your operation doesn't change to fit the system.
Why edge?
Latency
Cloud round-trips add 200–800 ms per decision cycle. For voice conversations, warehouse navigation, or drone obstacle avoidance, that lag is operationally unacceptable. Edge processing eliminates it.
Reliability
Industrial sites, warehouses, and Gulf logistics operations frequently have unreliable or expensive connectivity. Edge systems run whether the connection is good or not.
Cost
Per-minute cloud voice API costs, per-frame vision API charges, and data egress fees accumulate rapidly at operational scale. On-device models have predictable, hardware-bound costs.
Data locality
Call audio, drone imagery, and sensor streams are sensitive operational data. Processing on-device means less of it leaves your environment — reducing exposure and simplifying data-protection compliance.
System architecture
[Architecture diagram — placeholder. Replace with a real system diagram before launch.]
For engineers
The stack, in more detail.
Compute platform
NVIDIA Jetson Orin Nano (calling agent) · Partner-integrated embedded compute (AMRs, drones)
Speech (calling agent)
On-device STT + TTS. Multilingual: English, Arabic, Hindi, Malayalam, Tamil, Telugu, Kannada. Code-switching support.
Navigation (AMR)
LiDAR-based SLAM · Dynamic obstacle avoidance · Real-time path planning · Multi-robot traffic coordination
Vision (drones)
Visual + thermal camera processing · On-device anomaly detection · Pattern recognition · Event alerting
Decision layer
Finite-state machine for deterministic paths + lightweight LLM / intent engine for flexible interpretation. Auditable state transitions.
Integration
REST / webhook APIs to OMS, CRM, WMS, ERP. Bi-directional. Reporting via dashboard, Excel export, or API.
See the technology in your environment.
Assessment starts with your operation: what runs, what fails, and what can be automated.
