Altura helps clients navigate the complex journey to smart buildings through a pioneering approach to Systems Planning, Analytics and Integration that delivers proven business value and occupant delight.
Altura is a new breed of engineering consulting firm, delivering everything it takes to guide owners to realizing climate & carbon goals by maximizing building performance. Clients describe working with Altura as “transforming the way we deliver projects”, “taking the pain and confusion out of the smart building systems delivery process”, and “delivering an integrated commissioning and systems integrator process that actually delivers business value”.
In the planning phase, our involvement takes the form of decarbonization roadmaps and building automation standards. During design, Altura takes ownership for defining the building controls strategy and establishing performance-based systems acceptance criteria. In the construction phase, we leverage our groundbreaking data analytics platform to transform MEP systems delivery, enable connected commissioning, and build automation software that delivers best-in-class occupant and operator experiences. During the critical operations and maintenance phase, Altura weaves targeted data analytics processes into your organizational workflows to ensure persistent value and achievement of long-term carbon goals.
The industry has been arguing about how to construct smarter buildings for years—Division 25, integrators wanting earlier involvement, consultants pitching their frameworks, prefab vendors pushing integration upstream.
Hannah Baker, engineer at Willow, walks through how DFW Airport built a CBM program that actually stuck, from training a non-technical QA team to triage thousands of faults, to graduating recurring issues into automated work orders, to tracking a single KPI called 'unsuccessfully actioned' that finally gave leadership visibility into whether closed work orders were actually fixing the problem.
Jose de Castro, CTO of Mapped, shows how one of the world's largest retailers moved restroom operations from schedule-based janitorial rounds to condition-based workflows by combining foot traffic sensors, flush counts, soap levels, and occupancy predictions into AI-summarized work orders that land directly in the existing CMMS, with no new dashboards or tools for technicians to learn.
Brad Dameron from the University of Iowa's Asset Optimization Team and Katie Rossman from Clockworks Analytics walk through how Iowa handles 3,500 faults per day without burying their maintenance shops, showing the exact triage, routing, and closeout workflow they built to turn fault detection into planned work orders that look and feel identical to every other work order in the system.
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