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Underwrite any deal in minutes.

Smart Bricks turns offering memorandums (OMs), rent rolls, leases and your existing models into complete institutional underwriting. Specialised AI agents build the model, test scenarios and produce outputs ready for the investment committee (IC), with every assumption traced back to its source.

All connected to your Company Brain.

Company Brain knows your firm. Real Estate Intelligence knows the asset. Market Intelligence knows the market. Specialist Agents do the work.

Do the work.

  • Orchestrator
  • Financial Engines
  1. 01sourcing
  2. 02underwritingUnderwriting agents
  3. 03diligence
  4. 04portfolio management

Configured to your organisation.

Explore Intelligence

Your OMs, rent rolls, leases and models, turned into complete underwriting.

The institutional pack read in full, not sampled. Bring your own model: Smart Bricks fills the Excel your team already underwrites in.

  • Document ingestion

    The deal pack goes in as it arrived. Every document is read and filed against the deal.

  • Deterministic extraction

    Figures come out by rule, not by guess, each one tied to the line it was read from.

OM_OldBroadSt.pdfRent roll.xlsxT12Leases

The model proposes, the engine computes.

Named underwriting agents do the work: they plan it, call the tools and check their own output.

  • Assumption generation

    Assumptions are proposed from the data around the deal, shown before they are used, and yours to change.

  • Investment returns

    Base IRR (internal rate of return), equity multiple and the rest of the return set come out of the model itself.

  • Comparable evidence

    Every comparable behind a number is listed with the record it came from.

  • Excel that computes, not guesses

    Models calculate deterministically. Identical inputs return identical numbers, which is what makes the output auditable at all.

Every scenario, beside the base case.

The same deal re-run under other rate, rent and exit cases. Stress-tests macro and micro variables and flags every assumption that needs review.

125 Old Broad Street

Scenario analysis
Entry yield5.4%
Base IRR14.8%
Equity multiple1.9x

IC-ready outputs, written from the model.

Change one assumption and every dependent model, memo and deck updates with it. No stale decks circulating alongside live numbers.

  • IC memo

  • Excel model

  • PowerPoint deck

  • PDF

Ask any number where it came from.

A citation chain from the claim in the memo, to the formula behind it, to the source file, to the page it came from.

  1. The claim in the memo

    Entry yield 5.4%

    125 Old Broad Street, London · IC memo

  2. The formula behind it

    Financial Engines

    Calculated outside the language model

  3. The source file

    OM_OldBroadSt.pdf

    FW: 125 Old Broad Street OM

  4. The page it came from

    Opens at the cited line

    OM_OldBroadSt.pdf

10,000+ data sources · 207 countries covered

Faster than a raw frontier model, and right more often.

Internal benchmark: Smart Bricks’ own model against a raw frontier model on the same tasks.

See the benchmarks

Financial analysis, 255s to 80s
3.2x
Complex modelling tasks completed correctly, up from 43%
95%

Every deal you pass on still costs you a week.