End-to-end data flow
01
Sensors & Cameras
MQTT / HTTP
02
Coral Edge TPU
On-device ML
03
Cloud Pub/Sub
Global bus
04
Dataflow / BigQuery
Stream + store
05
Vertex / Gemini
ML + multimodal
06
Looker / Cloud Run
BI + APIs
Architecture layers
Device & Edge Layer
Google Coral (Edge TPU)
ASIC for edge ML inference — USB, PCIe and SOM form factors at low wattage
TensorFlow Lite / LiteRT
Optimised on-device inference with hardware delegates for MCUs and edge SoCs
Anthos / GKE Enterprise
Run containerised edge and plant-floor workloads with consistent Google Cloud ops
Connectivity & Ingestion Layer
Google Cloud Pub/Sub
Global durable messaging for IoT telemetry at millions of messages per second
Apigee
Enterprise API management for exposing IoT data with OAuth, quotas and analytics
Cloud Datastream
Serverless CDC replication from operational stores into BigQuery
Processing & Storage Layer
Cloud Dataflow
Managed Apache Beam for unified stream and batch IoT processing
BigQuery
Serverless warehouse — analyse months of sensor history in seconds with SQL
BigQuery Omni
Analyse IoT data across AWS S3 and Azure ADLS without wholesale migration
Cloud Bigtable
Wide-column NoSQL for massive time-series ingestion and lookups
Cloud Spanner
Globally distributed relational store for device registries needing strong consistency
AI / ML Layer
Vertex AI
Unified MLOps — AutoML, custom training, feature store, registry and endpoints
Gemini on Vertex AI
Multimodal Gemini models for text, image, video and audio industrial reasoning
Vertex AI Agent Builder
Build grounded agents with search, tools and orchestration for plant operations
Vertex AI Vision
Warehouse occupancy, PPE and defect inspection with prebuilt or custom models
Vertex AI Forecast
Demand and anomaly forecasting for industrial time series
Document AI
Parse invoices, quality reports and forms into structured industrial data
Application & Visualization Layer
Looker / Looker Studio
BI with LookML semantic layer connected directly to BigQuery
Cloud Run
Serverless containers for IoT microservices and APIs that scale to zero
Google Maps Platform
Fleet tracking, geofencing and routing for location-aware IoT
Firebase
Low-latency sync for live dashboards and field mobile apps
Industrial AI use cases
BigQuery IoT Analytics
Pub/Sub → Dataflow → BigQuery → Looker
Visual Inspection AI
Vertex AI Vision + Coral Edge TPU
Gemini Industrial Copilot
Gemini + Vertex RAG + Agent Builder
Time-Series Forecasting
Vertex AI Forecast + Bigtable
Robotics & Manipulation
Gemini Robotics patterns + Isaac integration
Multi-Cloud Analytics
BigQuery Omni + Dataplex
Key differentiators
Analytics-native stack
Pub/Sub, Dataflow and BigQuery form a coherent path from device events to petabyte analytics.
Vertex AI + Gemini
One platform for classical ML, multimodal GenAI and agent construction with enterprise controls.
Edge TPU acceleration
Coral hardware for efficient on-device vision and classification where cloud round-trips are costly.
Multi-cloud reach
BigQuery Omni and Anthos reduce lock-in when OT data already lives across hyperscalers.