Bevi manufactures and operates filtered water machines for offices, with embedded IoT sensors feeding real-time consumption data into a modern analytics stack (Kafka, Snowflake, dbt, Looker). The company is actively building a proprietary streaming data system and advanced ML capabilities, alongside an evolving acquisition and experimentation roadmap — indicating a shift from hardware-first toward data-driven unit economics and cross-portfolio growth. The balanced hiring mix across product, engineering, sales, and data reflects a maturing go-to-market operating on both direct and indirect sales channels.
Notable leadership hires: Product Director
Bevi operates a B2B hardware and SaaS platform delivering filtered still, sparkling, and flavored water to commercial spaces across the US, Canada, UK, and Ireland. The machines connect to a cloud platform that tracks consumption, operational health, and customer engagement in real time. The business combines recurring hardware placements with usage-based and subscription revenue, supported by a sales organization managing both direct and partner channels. Current focus areas include improving partner performance tracking, scaling real-time IoT data pipelines, and developing predictive models for demand forecasting and equipment optimization.
Bevi uses Kafka for streaming, Snowflake for data warehouse, dbt for transformation, and Looker for analytics. They also use InfluxDB for time-series metrics and Apache Spark for processing. This stack supports real-time IoT data ingestion and historical analysis at scale.
Bevi is building a proprietary streaming IoT data system, advancing data architecture for democratization, developing ML/AI modeling capabilities, and creating testing frameworks. Active projects include flavor consumption A/B testing, web app development, and an AI-ready roadmap.
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