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Brickfyn

Developers · Document & Inbox AI

AI for real estate developers: analysing contractor tenders and structuring project documents without re-reading them by hand.

For developers who receive offers in every format and spend days putting them into a table before deciding.

What happens today

  • Offers arrive as PDFs, Excel files and emails, with different structures.
  • Building the comparison table takes days and introduces errors.
  • Discrepancies and omissions are detected late.
  • Project documents (permits, contracts, amendments) are hard to find and track.

The workflow

01 · Inputs

  • Supplier offers (PDF, Excel)
  • Reference specifications
  • Project documents

02 · Processing

  • Extraction of line items and prices
  • Alignment with the reference structure
  • Detection of discrepancies, omissions and assumptions
  • Structuring and indexing of project documents

03 · Human checks

  • Unrecognised line items → human review
  • Table validated before distribution
  • No automated award decision

04 · Outputs & actions

  • Structured comparison table
  • List of points to clarify
  • Indexed project documents
  • Version log

What changes

Today

With the system

Manual retyping of offers.

Automatic extraction and alignment, review of uncertain line items.

Discrepancies discovered in meetings.

Discrepancies and omissions flagged on receipt.

Scattered documents.

Structured, queryable project documents.

Example

E4Workflow example

Five offers in different formats are aligned with the specifications; the table flags three missing line items and two diverging assumptions to clarify before human review.

Illustrative example of how the process can work.

What drives the economics of the project

No savings are guaranteed. The variables below are the ones we measure in Discover.

01

Number of tenders per year and offers per tender

02

Current time spent building the table

03

Heterogeneity of formats

04

Cost of errors or omissions detected late

Any estimate shows its assumptions: current time, hourly cost, expected rate of unrecognised line items.

Implementation

  1. 01

    Discover

    Extraction test on your past tenders, definition of the reference structure.

  2. 02

    Data & access

    Access to project documents and specification templates.

  3. 03

    Build

    Extraction, alignment, discrepancy detection, indexing.

  4. 04

    UAT

    Your teams compare the generated table with their manual one.

  5. 05

    Go-live & RUN

    Rollout, monitoring, adjustment of the rules.

Security and privacy

Tender documents are confidential: restricted access, logs and providers documented before production, validated with you.

Frequently asked questions

Can scanned offers be read?

It depends on scan quality. We measure the recognition rate on your documents in Discover.

Does the system choose the supplier?

No. It structures and compares; the decision stays human.

Can it track amendments?

Yes, within a defined perimeter: indexing, versions, deadlines.

How long?

Estimate after Discover.

Show us a tender.

One past tender is enough to test the extraction and tell you whether a system is justified.