System Status: Alpha Pilot Active

Digitizing the
Apiary Lifecycle

We solve agricultural supply chain opacity by converting raw hive telemetry into structured data using Google Cloud AI and predictive ML models.

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01 / The Problem

The "Black Box" of Commercial Apiculture.

Commercial pollination is a multi-billion dollar industry running on intuition. There is currently zero real-time visibility into colony health, leading to preventable collapse and unpredictable yields.

Our Solution

Brighton Honey deploys Edge-IoT Sensors to capture thermal acoustics and humidity. We transmit this data to our cloud-native warehouse, where ML models forecast disease vectors before they become visible to the human eye.

02 / The Tech

Data Ingestion

Custom ESP32 firmware transmitting MQTT payloads via secure cellular gateways directly to AWS IoT Core.

Predictive Logic

Google Cloud Vertex AI pipelines analyzing historical acoustic patterns to flag "Queenless" states.

03 / The Team
EG

Edward Graham

Principal Systems Architect & Founder

Edward specializes in Enterprise IT Management and Multi-Cloud Infrastructure. He leads the technical roadmap for Brighton Honey, architecting the integration between local biological sensors and global cloud identity systems.