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Your financials need
Structura.

The operating system for M&A. Structure, transform, and standardize financial data for reporting, deal advisory, and portfolio monitoring.

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The problem

Different sources for multiple entities.
Hours to reconcile.

Every entity runs its own systems, its own account codes, its own logic. Consolidating them means manual mapping, formula-heavy spreadsheets, and one wrong cell away from starting over. AI makes an individual analyst faster, but the work between the raw exports, the trial balance, and the final report stays slow, lossy, and manual.

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Consolidation_FY25.xlsx
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FileHomeInsertPage LayoutFormulasDataReviewView
C3
fx
=VLOOKUP(A3,London_TB!A:D,4,0)
A
B
C
D
E
1
Account
Milano Srl
London Ltd
Berlin GmbH
Consolidated
2
Revenue
1,204
980
1,410
3,594
3
COGS
842
#REF!
905
#REF!
4
Gross margin
362
#REF!
505
#REF!
5
Personnel cost
96
88
140
324
6
Services
84
70
120
274
7
Other operating expenses
40
32
45
117
8
EBITDA
142
#REF!
200
#REF!
9
D&A
40
38
60
138
10
EBIT
102
#REF!
140
#REF!
11
Net financial items
12
14
20
46
12
Taxes
25
36
34
95
13
Net income
65
#REF!
86
#REF!
Consolidated
Milano_TB
London_TB
Berlin_TB
+100%

The foundation

Why not just
upload it to ChatGPT?

Because it will answer. Confidently. And you'll have no way to tell a real figure from an invented one, or to see who typed over the cell.

Structura's engine establishes what is true across your data. The AI only proposes where truth is missing, and a person approves it before it counts. Whatever moves a number after that, whether the engine, the AI, or a colleague, is recorded with who, when, and what changed. Every value can name its author.

Then connect the assistant you already use. It stops guessing: instead of reading a PDF and hoping, it queries the engine and gets the same answer you would. The model isn't the foundation. It's what you build on top of one.

  • Known deterministically
  • Gap or conflict, detected
  • Proposed by AI
  • Changed by a person

Every mark below the line is a recorded change: who, when, what.

Consolidation

Every source in.
One dataset out.

Import trial balances from every system in the deal. Structura maps each source into a shared set of dimensions, so exports that never agreed on a format converge into one consolidated dataset, ready for reporting, pro-forma analysis, or the investment committee.

Milano_TB · London_TB · Berlin_TB

Conto Account Konto
Account Code
Descrizione Desc Bezeichnung
Description
Saldo Balance Betrag
Amount
Società Entity Gesellschaft
Entity
Periodo FY Periode
Period
Mastro Class Gruppe
Cluster
  • A source's own name
  • Canonical Structura dimension
  • Identity key

Account Code, Entity, and Period are identity dimensions: together they key each row, so re-importing a file updates it in place instead of duplicating it.

These six are the defaults. A workspace can define its own custom dimensions on top.

Smart account mapping

Different logic for every entity?
Structura maps them all.

Structura resolves each account the same way every time: first from the structure in the file, then from the decision already made for that account elsewhere in the deal. Only what's left over goes to the AI, which proposes but never decides. You review, resolve conflicts, and commit.

Start from 592 pre-built account paths across five industry templates (retail, trading, manufacturing, SaaS, and professional services), or map straight into the clusters you already use.

Deterministic first. AI where it helps. A person on every call.

Accounts 103·Resolved 103
All103Needs attention0Has AI2Resolved103
Identity
Status
Destination
455030001
Resolved
P&L/Revenues/Domestic sales
633052003
Resolved
P&L/Services/Representation expenses
735010003
Resolved
P&L/Rent and leases/Equipment leasing
743030001
Resolved
P&L/Financial items/Bank charges
742020001
Resolved
P&L/Services/Subscriptions and fees

Scenarios

What if?
Find out safely.

Most platforms are static. Structura is alive. Every mapping, every upload, every adjustment lands in an immutable history. Want a pro-forma consolidation that drops one entity from the perimeter, or adds the acquisition you're modelling? Create a scenario, change the perimeter, compare the results. Your master data doesn't move until you decide it's final.

No more "v2_FINAL_FINAL." No lost edits. No black boxes.

Account main cost-spike Δ
COGS Cost of goods sold · 4 accounts
531010001 Flour, semolina & yeast 1,865,000 2,355,000 +490,000
531010002 Tomato & canned tomatoes 1,158,000 1,482,000 +324,000
531010003 Mozzarella & dairy 1,052,000 1,315,000 +263,000
531010004 Cured meats & toppings 728,000 910,000 +182,000

Δ = cost-spike − main · FY25 · for COGS, an increase is unfavorable

Deal Intelligence

Ask Structura.
Or let your agent ask.

Ask across the whole consolidated dataset and the documents beside it: margin trends, anomalies, what changed between scenarios, what a contract actually says. Every answer comes from the engine and cites where it came from, so you can check it the way you'd check an analyst.

Ask across your numbers and the documents beside them.

Reporting

Dynamic
Excel exports.

Your work doesn't stop in the browser. Build reports with your own layout and live formulas, then export a workbook that keeps all the logic and structure intact, so you and your team continue the analysis in Excel instead of rebuilding it from scratch.

Profit & Loss/PL00Visible
Anchors
B
I
U
A
(1,234)
H
auto
W
auto
Select a cell, row, or column
Pizza_Corp_Board_Pack.xlsx
FileHomeInsertPage LayoutFormulasDataReviewView
A1
fx
=SUMIFS(TB!$C:$C, TB!$F:$F, $A2, TB!$D:$D, D$1)
A
B
C
D
1
Profit & Loss
FY23
FY24
FY25
2
Revenues
15,102,000
16,948,000
19,053,000
3
COGS
4,735,000
5,358,000
5,217,000
4
Gross margin
10,367,000
11,590,000
13,836,000
5
Services
1,623,000
1,930,000
2,764,000
6
Personnel cost
1,518,000
1,756,000
1,956,000
7
Rent and leases
532,000
608,000
703,000
8
D&A
548,000
598,000
653,000
Sheet PL00 · 7 rows · anchoredExport → .xlsx

The Full Suite

Everything you need.
In one place.

Structura handles the heavy lifting of data prep, then combines structuring, AI-powered analysis, and reporting in one platform, so you never reconcile tools, outputs, or versions again.

Trust

Security & provenance

High-stakes deals need high-stakes controls. Encrypted data, isolated per workspace, and an immutable record of every change: who made it, when, and what moved.

Data room

Answers from documents

Ask across the contracts, statements, and reports sitting in the data room, not only the numbers in the trial balance.

Access

Roles & permissions

Role-based access control across the deal. Decide who can map, who can commit, and who can only read.

Sources

Connectors & formats

Upload trial balances in the shapes they already come in. Direct connectors to SAP, QuickBooks, and Xero are on the roadmap. If your deal runs on something else, tell us and we'll build for it.

Use cases

Built for your
M&A workflow.

From PE funds to advisory firms, Structura adapts to your process. Whether you're consolidating a buy-and-build, preparing an investment committee report, or structuring data for a financial due diligence, Structura gives you a foundation solid enough to build any output from.

Ready to prioritize insights over inputs?

Book a call or a private walkthrough of the platform.