
Onboard.io offers a self-serve AI platform designed for building experts to collect, label, manage, and share building data. Their platform centralizes data from BACnet and Modbus devices, standardizes it using AI (award-winning by the US DOE) to formats like Haystack or Google's DBO, and provides real-time visualization with alerts. Onboard enables secure data sharing with fine-grained access controls and allows developers to connect applications via a REST API with Python or R SDKs. The virtualized software scales to preferred IT/OT ecosystems for reliable setup. They serve Facility IT & OT Specialists, Mechanical Engineers, and Software Engineers & Data Scientists, empowering them with data to improve building systems. The company has received significant US Department of Energy awards for its AI technology and operates internationally, supporting researchers globally. Onboard emphasizes independence, stating they have no venture capitalists, focusing on pragmatic problem-solving.

Onboard.io offers a self-serve AI platform designed for building experts to collect, label, manage, and share building data. Their platform centralizes data from BACnet and Modbus devices, standardizes it using AI (award-winning by the US DOE) to formats like Haystack or Google's DBO, and provides real-time visualization with alerts. Onboard enables secure data sharing with fine-grained access controls and allows developers to connect applications via a REST API with Python or R SDKs. The virtualized software scales to preferred IT/OT ecosystems for reliable setup. They serve Facility IT & OT Specialists, Mechanical Engineers, and Software Engineers & Data Scientists, empowering them with data to improve building systems. The company has received significant US Department of Energy awards for its AI technology and operates internationally, supporting researchers globally. Onboard emphasizes independence, stating they have no venture capitalists, focusing on pragmatic problem-solving.
Product: Self-serve AI platform to collect, manage, standardize, visualize, and share building systems data.
Protocols / Sources: Supports BACnet and Modbus device data.
Standards & tooling: AI-based cleaning/labeling with Project Haystack and Google's DBO; REST API with Python and R SDKs.
Funding posture: Disclosed funding is award/grant-based (two U.S. DOE awards $2M+, two Massachusetts awards $300K+, and a $25K competition win); states it has no venture capitalists.
Deployments stated in the US, Canada, UK, Singapore, and India; API used by researchers in 25+ countries.
Interoperability, integration, cleaning, and management of building systems and sensor data to enable analytics and operational improvements.
Smart building software; data integration; developer APIs
$2M+
Two U.S. Department of Energy awards totaling more than $2 million (stated by company).
$300K+
Two Massachusetts awards totaling more than $300,000 (stated by company).
$25,000
Winner of the $25K DeltaClime Competition (stated by company).
“States it has no venture capitalists; disclosed funding is awards/grants and competition prizes.”