Fintech platform financing solar, batteries, and EV upgrades across Australia
Brighte finances renewable energy and home electrification for Australian households and SMEs. The tech stack reflects a maturing data and analytics operation—Snowflake, dbt, Airflow, and BI tools (Tableau, Power BI, Looker)—alongside active AI adoption (OpenAI, Anthropic). Current project focus on real-time pipelines, compliance automation, and dbt-driven dimensional modeling signals a shift toward self-serve analytics and AI-powered decisioning; simultaneously, bridging legacy logic to the modern stack and data integrity issues remain friction points.
Brighte is a fintech platform founded in 2015 that provides point-of-sale financing for residential and commercial clean energy installations. The company partners with over 2,900 installers and solar retailers nationally, has facilitated solar adoption for over 180,000 households, and has processed more than $2 billion in finance applications. The product covers solar systems, battery storage, electric vehicles, and energy-efficient home upgrades. Brighte operates from Sydney and currently employs 51–200 people, with recent hiring activity concentrated in data and engineering roles.
Brighte's core stack includes Snowflake for data warehousing, Apache Airflow and dbt for transformation, AWS for cloud infrastructure, and React/Node.js for frontend and backend services. Analytics layers use Tableau, Power BI, and Looker; marketing tools include HubSpot and Salesforce Marketing Cloud.
Current priorities include real-time data pipelines and AI use cases, compliance automation (risk-based training, compliance-by-design integration), dbt transformations for self-serve analytics, and an AI-powered go-to-market stack. Internal challenges include data integrity issues and bridging legacy logic to the modern architecture.
Brighte's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.