Onboard is how building experts talk to buildings. The only self-serve AI platform for connecting and communicating with your buildings and its equipment.
Building Energy and Optimization Engineers use Onboardās AI software to acquire the building data they need to improve their clientās buildings. Onboardās self-serve AI software enables any engineer to collect, standardize, visualize, and share building data across their team or analytical apps. Engineers can flexibly install Onboardās virtualized software on their ITās preferred hardware inside the buildingās network. Currently, Onboard is focused on BACnet and Modbus data.
Onboardās AI filters out irrelevant data and applies standard ontologies, including Project Haystack Tags and Googleās Digital Buildings Ontology. Onboard transparently shares how its AI achieved its predictions, which allows engineers to intuitively operate its AI and all other software operations entirely by themselves.
Engineers can export their data to CSV, JSON or use Onboardās REST API to pipe data to any application. Onboard provides Python and R SDKs for engineers seeking to flex their data science skills as well as an ongoing YouTube Series and Knowledge Base for how to creatively use your building data.
Onboardās uniquely lightweight approach makes Onboard attractive to smart building consultants and OEMs alike, anyone needing a scalable, transparent and a cost-effective method for normalizing building data across portfolios. Onboard is an enabler of use-cases; its mission is to equip every engineer with the data they need to improve the worldās buildings.
City of Madison found its grid-interactive pilot couldn't shed load until it validated the OT foundation, discovering mixed subnets, stranded submeters, and BAS setpoints that carried no consistent "reduce load" command.
Learn how standardized HVAC sequences of operation, building automation systems (BAS), cooling tower optimization, and analytics help commercial real estate portfolios improve energy efficiency, reduce HVAC complaints, and achieve repeatable building performance at scale.
Learn how Texas Tech University built an in-house HVAC controls team to eliminate sequence drift, optimize building automation systems (BAS), reduce energy costs, and improve HVAC performance through recommissioning, controls programming, and fault detection.
Learn how UC Irvine uses operational commissioning, SkySpark, building automation systems (BAS), fault detection and diagnostics (FDD), and HVAC optimization to improve energy efficiency and building performance across a large campus.
Learn how RTX is using continuous commissioning, monitor-based commissioning (MBCx), and intelligent building controls to optimize HVAC performance, uncover energy savings opportunities, and scale energy management across a global portfolio of manufacturing facilities.
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