Overview
Orient AI comprises five primary layers:
Data Layer – Responsible for ingesting, normalizing, and persisting on‑chain and off‑chain market data. It leverages high‑throughput connectors, event streams, and time‑series databases to ensure data integrity, low latency, and historical traceability.
AI Layer – Hosts configurable machine learning and large language models for signal generation, predictive analytics, and decision support. Models can be fine‑tuned on domain‑specific datasets and deployed as microservices with auto‑scaling capabilities.
Agent Layer – Defines reusable agent templates that encapsulate strategies, business logic, and execution policies. Agents subscribe to AI outputs and data feeds, executing trades, alerts, or research workflows according to predefined triggers and risk constraints.
Execution Layer – Interfaces with external endpoints including exchange APIs, smart contracts, and custodial services. This layer guarantees order routing, on‑chain transactions, and transactional atomicity within sandboxed environments.
Interface Layer – Provides SDKs (Python, TypeScript), CLI utilities, and GUI dashboards for monitoring agent performance, configuring workflows, and accessing audit logs.
Collectively, these layers enable dual‑market compatibility, high security through integrated KYC/AML modules, and extensible APIs for third‑party integration.
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