While other people specialize in data from a single system, protocol or network architecture, Buildings IOT specializes in data acquisition wholistically.

We can connect to:

• sensors,
• mechanical equipment,
• lighting equipment,
• power meters or
• controllers.

Once connected, we normalize the data against an open-sourced data model and make it available via a GraphQL API.

With standard network architectures to simplify buy-in from IT departments and a variety of protocols supported, we make it easy to connect to data from disparate systems and make it useful across departments.

There's no shortage of analytical tools for business these days. For buildings specifically, it's a smaller pool but you certainly still have options.

What sets our analysis tools apart is their integration into your existing workflows. With Buildings IOT:

• analytics or fault detection and diagnostics is not just another system,
• and operations teams don't need to incorporate it into their work across 30 other apps.

It's built-in functionality that's available to any users you choose. And it's complete with its own lightweight work order management system or can be connected to yours.

You've probably heard of integrated and remote control of building systems referred to as building operating systems or remote command centers. But typically, only one or two setpoints are writable.

With Buildings IOT:

• your entire building management system from every building in  your portfolio can be operated from anywhere;
• alarms and schedules are automated to reduce noise and fatigue;
• data is rolled up intelligently across multiple systems for use in configurable KPI dashboards.

This creates efficiencies across operations teams and it enables advanced use cases like autonomous buildings and automated demand management or the ability to run your building on auto-pilot

All of the previous stops along the digital transformation journey lay the groundwork for further advanced use cases. For most operations teams, that includes predictive maintenance to rein in uncontrollable and un-budgeted service charges.

At Buildings IOT, we do predictive maintenance through:

• AI/ML algorithms in conjunction with those created by our building scientists.

This allows our system to use your operational data to determine when equipment is operating at its outer limit and what specific areas of its operation should be worked on now to avoid catastrophic failure in the near future.

The need to adapt is everywhere, and your building is no different. While it's true that we can't know what the future will bring, the adaptive buildings journey brings you to a place where future requirements are easier to manage and the complicated requests of tomorrow are more cost-efficient to implement.

The end of the road will look different for everyone, but when you go on this journey with Buildings IOT, the ultimate outcome will be reduced expenses across operational categories and improved performance across collaborating departments.