For construction, facilities, and real estate data teams

Turn every drawing set into data you can query.

Bid sets, as-builts, and site photography abstracted into records that stay current across the portfolio.

Why it matters

An AI plan expert that reads every drawing, extracts every dimension and asset, and answers portfolio questions in seconds.

The answers are already in your drawings. Nobody has the hours to go and find them.

1.2B

sqft of enterprise operations run on REAL

8M+

tasks completed across enterprise portfolios

14%

average cost reduction across portfolio

01 · Document control

Always read the current drawing, never the ninth version.

Plan sets arrive shuffled by upload date and the current one becomes a guess. REAL identifies the live version, marks the rest superseded, and extracts only from the drawing that governs.

Document controlMaple Grove

Floor Plan · v9

CURRENT

Floor Plan · v8

SUPERSEDED

Floor Plan · v7

SUPERSEDED

Auto-extracted dimensions

from v9 · Sheet A-101

4,240 sqft
9 versions on file1 governs
02 · Layout extraction

Every sheet read, every dimension extracted.

Architectural, mechanical, plumbing, and electrical sheets are read and turned into structured records. What existed as a line on a drawing becomes a field you can filter, total, and check.

Layout extractionMaple Grove · As-built 2019

Rentable area

Sheet A-101

4,240 sqft

Usable area

Sheet A-101

3,890 sqft

Door schedule

Sheet A-601

18 openings

Rooftop HVAC units

Sheet M-201

4

Restroom fixtures

Sheet P-301

8
247 records extracted34 sheets read
03 · Portfolio query

Ask one question across every drawing at once.

Parking counts, fixture schedules, square footage by use. A question that would mean opening thirty drawing sets returns an answer in seconds, with the source sheet cited for every figure.

Portfolio query34 active projects

How many parking spaces across FY26 remodels?

Answer

across 34 sites

4,182 spaces

Sources

112 sheets · every figure cited

34 as-built sets
Response time1.4s
04 · Asset capture

Capture asset condition without a second site visit.

Signage, flooring, roofing, and visible equipment identified from site photography, each with a condition assessment. Record completeness improves and the trip back to measure one thing stops being necessary.

Asset captureSite survey · Nashville

Signage · illuminated pylon

Condition B

Flooring · VCT

Condition C

2,100 sqft

Roof · TPO

Condition B

Installed 2016
Captured from 42 photosno return visit
05 · Shared context

Check the area you lease against the area you have.

A lease stating less area than the as-built shows is an exposure. One stating more is a recovery opportunity. Either way the drawing has to be readable first.

SPACE & ASSET DATA AGENT ⇄ LEASE INTELLIGENCE AGENT
Downstreamas-built area · usable area · extracted records
Upstreamlease-stated area · rent per square foot
Live Context Updateauto

As-built 4,240 sqft → Lease Intelligence

Lease states 4,100 sqft · variance flagged

The REAL Suite

One agent is powerful. A suite is transformative.

Each REAL agent is an expert in its domain, built to share context and act on what the others know. The more agents work in your portfolio, the more complete each one’s view of it becomes, and the stronger every decision your team makes.

Space & Asset Data

Frequently asked questions

  • It does the takeoff and then keeps the result. A traditional takeoff produces quantities for one project at one moment and is rebuilt from scratch next time. REAL abstracts the same drawings into records that stay queryable across the portfolio, so the counts remain available for lease verification, asset registers, and later projects.

  • Version sequence and supersession are read from the sets themselves rather than from upload order. The current version is identified, earlier ones are marked superseded, and extraction runs only against the drawing that governs, which is the difference between a right answer and a plausible one.

  • Areas by type, door and window schedules, fixture and equipment counts, parking, and the mechanical, plumbing, and electrical records carried on the sheets. Every extracted value keeps a reference back to its source sheet, so any figure can be checked against the drawing.

  • Both, and the comparison between them is often where the value sits. Bid sets, permit sets, and as-builts are read the same way, and differences between them are surfaced, which is where unbilled scope and square footage disputes originate.

  • From site photography and survey imagery. Signage, flooring, roofing, and visible equipment are identified along with a condition assessment, which improves record completeness and reduces the repeat site visits manual capture requires.

  • Across the portfolio. A question about fixture counts or parking across thirty projects is answered from the abstracted records rather than by opening thirty sets, with source sheets cited for every figure.

  • No. Document management systems store and version drawings, and several were built for real estate rather than construction. REAL reads what is in them and turns the contents into records you can query, compare against leases, and hold asset data against.

  • REAL runs in a single tenant on your data, SOC 2 Type II and ISO 27001 certified, and your data is never used to train any model.

Stop counting what is already written down.

See REAL abstract one of your own as-built sets into records you can query.

  • Current version identified
  • Every figure cited to its sheet
  • Queried across the portfolio
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