
Brighthive is an AI-powered platform providing a complete data solution stack for enterprises, designed to simplify and automate end-to-end data workflows. It features six specialized autonomous AI agents that handle data ingestion, governance, engineering, analytics, visualization, and task orchestration, enabling all teams to unlock insights from diverse data assets without technical skills. The platform supports integration with over 350 data sources and open-source tools, offers no-code pipeline creation, and delivers instant insights with interactive visualizations. Brighthive's BrightBot acts as a conversational interface, guiding users through data lifecycle phases and enabling custom AI agents for tailored workflows. The company targets enterprises aiming to become data-informed across all workstreams, positioning itself as a comprehensive AI-native data team in a box, accelerating time to insight and fostering data-driven culture.

Brighthive is an AI-powered platform providing a complete data solution stack for enterprises, designed to simplify and automate end-to-end data workflows. It features six specialized autonomous AI agents that handle data ingestion, governance, engineering, analytics, visualization, and task orchestration, enabling all teams to unlock insights from diverse data assets without technical skills. The platform supports integration with over 350 data sources and open-source tools, offers no-code pipeline creation, and delivers instant insights with interactive visualizations. Brighthive's BrightBot acts as a conversational interface, guiding users through data lifecycle phases and enabling custom AI agents for tailored workflows. The company targets enterprises aiming to become data-informed across all workstreams, positioning itself as a comprehensive AI-native data team in a box, accelerating time to insight and fostering data-driven culture.
Headquarters: Chicago, Illinois
Founded: 2018
Product: AI-powered enterprise data management and analysis platform with autonomous AI agents and no-code pipelines
Team size (reported): 11–50 employees
Funding rounds (reported): 3 (including grant, seed, convertible note); last disclosed: Jul 1, 2019
Enterprise data management, data engineering, analytics, and data governance with AI automation to lower technical barriers.
2018
SaaS; AI; Enterprise Data Management
Most recent disclosed round
“Acumen America; Rethink Education; Village Capital; Lumina Foundation”