We build domain-specific AI for buildings.

Boom is the company. CoreSpec is how it works.

  1. 01Foundation

    Your drawings become a living 3D record of the building.

  2. 02Connect systems

    Energy, plant, security and documents, each wired to the place it belongs.

  3. 03Build workflows & agents

    Your team designs the work once, around the real building.

  4. 04Updates the asset automatically

    Close a job and the record updates itself. Nobody opens a CAD tool.

Built-world teams run on our software

  • J.Crew
  • NBC Universal
  • Prime Group Holdings
  • Smart Net Zero
  • PyroComm
  • Nevada HBC
  • Calgary Lock and Safe
The gap

A $177B a year problem with no product behind it.

That is what poor data costs US construction and the teams who inherit the building afterward, every year. The largest single line in it is people hunting for information that already exists somewhere. Software has digitized the documents. Nothing has made the building itself readable, which is why the hunting never stopped.

$177BLost each year to bad project data
5.5 hrsPer person, per week, looking for information
48%Of rework traced to poor data and communication

PlanGrid and FMI, Construction Disconnected. Republished by Autodesk.

What we believe

AI is only as good as what it is grounded in. We build the ground truth first, then the AI on top.

Every AI tool pointed at a building infers it from paperwork, because a building has no machine-readable form. We produce that form, then open it to the AI systems and the tools a team already runs. Not a general AEC platform. Not a dashboard company.

How we work →
The method

Boom is the mission. CoreSpec is how we make it real.

CoreSpec is four things working as one: the dashboard your team works in, the living 3D record underneath it, your systems wired into both, and AI doing the work across all of it. It is built from the drawings a building already has, and it is the first proof of the mission everything else we make stands on.

It works "like" an MCP server for the building, so any system or agent reaches the same record rather than guessing from documents. Data goes both ways: once the systems are connected, CoreSpec reads a change where it happens and updates the twin headlessly, so the floor plan stays true without anybody maintaining it.

The CoreSpec platform: a building model beside the systems and work connected to it
What we own

Five systems we built ourselves, because nothing existed to buy.

Five patents granted across the US and Canada with EU and UK in flux, and three more applications pending. This is the part a competitor cannot shortcut.

01

AI image recognition

Reads blueprints, line drawings and sketches the way a person does, including the annotations and overlays.

02

2D to 3D

A drawing set becomes a structured, navigable building. One day, not one quarter. Pat. US 12,632,615 · CA 3,143,033

03

Multi-device 3D editor

A full editor with real-time co-editing, and digital sticky notes pinned to a place in 3D. Pat. US 11,263,825

04

Phone LiDAR capture

Scan, edit, share and export in one workflow. First to put the whole loop on a phone.

05

Layered diffusion renders

Photoreal output generated from the model rather than from a flat image. Pat. US 12,567,222 · US 11,295,534

06

MCP platform architecture

Any building system, AI platform or live sensor connects to one record through one interface.

Why it compounds

Every building makes the next one better.

The work produces the training data, and the training data makes the work cheaper. Nobody can buy their way into this loop, because it only runs if you are already doing the buildings. We have been doing them for seven years.

10M+Square feet modeled
3,400+Floors modeled
5Patents granted, three pending
7 yrsBuilding the foundation
Investors

Seven years of foundation, now in market.

We spent seven years building the thing that had to exist first. It is patented, it is deployed with named enterprises, and it improves with every building that runs through it.

Defensible

Five granted patents across the US and Canada covering the 2D to 3D core, the render pipeline and spatial notes, with three further applications pending.

See the patents

Deployed

In production with global real estate services, enterprise retail and media names, and in build with a major security manufacturer.

How it got here

Compounding

Every building processed improves the model. The work is the training data, and the loop only runs for whoever is already doing the buildings.

Our process
Investor portal

Access by invitation. Materials, data room and the current round.

The company

Who we are, and how we got here.

Our story

Seven years of building the thing nobody else would, starting with a drawing set that was wrong.

Read the story

The team

The people who built it, and the board and advisors who have been with it since 2019.

Meet the team

How we work

We work alongside your team to unlock the data, connect the systems and get you ready for agents.

Our process

Put AI on your buildings.

Bring one drawing set. We will show you the model, and the work it does, on a building you already run.

Talk to us
Contact

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