Novant

Data flowing in minutes, not months.

Getting building data has always been slow and complicated. Specialists, custom work, and endless emails. Not anymore. With Novant, just plug in and go.

Works with your AI assistant

Model your building by talking to it.

Discovery finds the points. Turning them into a model of the building – floors and rooms, air handlers and VAVs, what feeds what – has always been the slow part.

Now you can hand that to the AI assistant you already use. Connect Claude, ChatGPT, or another assistant to Novant, share the drawings and point lists you have, and it drafts the model for you.

What used to take days of spreadsheet work becomes a conversation.

PDF · B2-Mechanical-Schedule.pdf Here’s the mechanical schedule for Building 2. Can you set up the model in Novant?

I matched the schedule to the 69 controllers Novant discovered. Here’s the draft:

  • Spaces 1 building · 4 floors · 86 rooms
  • Equipment 2 chillers · 3 AHUs · 64 VAVs
  • Zones 64 VAV zones, each with its rooms
  • Fed by Chillers → AHUs → VAVs → rooms

✓ Checked by Novant – nothing saved yet.

Want me to import it?

Looks good – import it.

Starts from what’s there

Your assistant reads the devices and points Novant discovered, plus any floor plans, schedules, or point lists you give it.

Drafts the whole model

Spaces, zones, and equipment, and how they connect – which air handler feeds which VAVs, and which rooms each one serves.

No changes till you say so

Novant checks every import before it’s saved, so you review the result first. Assistants can never control the building.

Your assistant, your rules

Access follows each person’s role, and your organization decides whether assistants can only read or can help edit.

Up and running in three steps.

1

Plug in

Drop a Novant edge node on-site. It links to the cloud on its own – nothing else to install or configure locally.

2

Discover

Novant auto-discovers your points and normalizes them into a single, consistent model.

3

Go live

The moment a point is bound, it's live – real-time values and trends, ready to use.

It doesn’t matter what your points are called.

There is no standard for naming points. Every vendor, every integrator, and every building does it differently – which is why onboarding has always meant deciphering thousands of cryptic abbreviations.

Auto Type identifies what a point actually is from far more than its name – the units it reports, the states it can be in, its address on the network, and the equipment it’s attached to.

It learns from how points are typed across the Novant network, so it keeps getting sharper as more buildings come online.

Raw point names RM214_ZN_T, ZoneTemp_214 and 214.SPACE_TEMP
                  all identified by Auto Type as zone_air_temp_sensor in °F,
                  alongside SF_VFD_SPD as fan_speed_cmd and CHW_VLV_CMD as
                  valve_cmd, both in percent.

Connects to every modern BMS.

Novant connects to the systems your buildings already run – new or legacy, single-vendor or mixed – so a site comes online no matter whose controllers are inside.

Automated Logic Carrier Honeywell Johnson Controls Niagara 4 Schneider Electric Siemens Trane

Onboarding without the overhead.

Self-serve setup

Stand up a site yourself – no professional-services engagement required.

Every protocol, out of the box

BACnet, Modbus, Niagara, OPC UA, and more, normalized into one vendor-neutral model.

Auto-discovery does the work

Novant finds the points on every system for you – no hunting through controllers, no lists to build by hand.

Scales across a portfolio

One person or your whole team can bring dozens of buildings online.

Live data on every point

Real-time values across the whole project, the moment each point comes online.

Up to 10 years of trends

Every point keeps its own history – up to a decade of trend data, captured automatically.