[ SYSTEM TOPOLOGY ]
Architecture Core
Syntharasight relies on a decentralized, event-driven microservices architecture to process zero-party data and translate it into physical action with sub-100ms latency.
Data Ingestion Swarm
Distributed edge nodes collect hyper-local telemetry via MQTT and Websockets. Data is buffered in Kafka topics to ensure zero data loss during network partitions.
Topic: telemetry.v2.kongad
Throughput: 4.2M msgs/sec
Throughput: 4.2M msgs/sec
Gemini 1.5 Pro Engine
Our core intelligence layer utilizes Google's Gemini 1.5 Pro for multimodal reasoning over massive context windows. It extracts sentiment and predicts physical demand.
Model: gemini-1.5-pro
Context: 2M Tokens / Request
Context: 2M Tokens / Request
Orchestration & Routing
Once demand is predicted, the routing layer triggers WhatsApp/OpenClaw APIs to automatically queue manufacturing orders at our MSME partners, completely bypassing traditional inventory storage.
ComputeKubernetes / Rust
StateRedis Cluster