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.

Launch Platform Demo Platform Architecture
01 / Platform Logic
CURRENT STAGE: MVP (Active Pilot)

Operational Model

Brighton Honey operates as a Subscription-Based (SaaS) platform for commercial apiaries. Clients subscribe to receive real-time telemetry and predictive collapse alerts through a tiered licensing model.

Usability & Interface

The platform is operated over a secure Web Interface. Customers manage hive deployment, view thermal acoustic heatmaps, and export automated compliance reports directly through our cloud portal.

Why Google Cloud?

Our Vertex AI pipelines analyze historical acoustic patterns to flag "Queenless" states. We are utilizing GCP infrastructure to scale from 100 localized pilot nodes to a high-capacity regional rollout.

02 / The Vision

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. Brighton Honey deploys Edge-IoT Sensors to capture thermal acoustics and humidity, forecasting disease vectors before they are visible to the human eye.

03 / The Tech Stack

IoT Edge Ingestion

Custom ESP32 firmware transmitting secure MQTT payloads via cellular gateways directly to cloud endpoints.

Predictive Logic

Google Cloud Vertex AI pipelines analyzing historical acoustic patterns to mitigate large-scale colony collapse.

04 / The Team
EG

Edward Graham

Principal Systems Architect & Founder

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