Your financials need
Structura.
A platform where M&A teams and AI agents work together on financial data, with every change recorded.
The problem
New files arrive.
The checking starts again.
Each company sends its accounts in a different format. Before you can analyse them, you have to align account codes, periods and reporting structures. Then a revised file arrives, or another month closes. You need to work out what changed and check that the mapping still holds. Much of that work lives in spreadsheets and in the memory of the person who prepared them.
The foundation
Why not just
give the files to Claude?
In Structura, your team and AI agents work with company accounts, reporting periods and adjustments. You can map trial balances or reclassify accounts without translating the task into cell references.
The agent acts through Structura’s financial operations. For example, it can map columns B and C as debits and credits. Structura validates and applies that mapping; your team can check the rule against the source.
The history shows how a source was read, which accounts were reclassified and what an adjustment changed. Your team can review that work and make corrections. Changes made with an agent are recorded with both of you as coauthors.
See our comparison: the same 36 files, with and without Structura
- Existing data
- Coauthored with AI
- Edited by you
Changes made directly or with an agent appear in the same history. Each mark below the line represents a recorded change.
Data preparation
Bring company accounts
into a common structure.
Bring trial balances from different accounting systems into Structura. Align them by company, period and account, while retaining the link to each source. Use the same financial data across your due diligence analyses, and update it when revised files or a new reporting period arrive.
Milano_TB · London_TB · Berlin_TB
- Fields in the source files
- Shared fields in Structura
- Identity fields
These are the default fields. Add dimensions to match the way your team analyses the data.
Account mapping
Different account codes.
A common reporting structure.
Map each company's accounts to the structure your analysis needs. Work directly in Structura or with your AI agent. Classifications apply to the data as you work, and carry forward when matching accounts appear in new files.
Classifications supplied in the source remain available alongside your assignments.
Illustrative mapping for one company. Changes are recorded in the workspace history.
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
Work with AI
Your AI assistant,
working with your data.
Connect the assistant you already use to Structura. Ask it to compare margins, investigate cost movements or classify accounts. Calculations run through Structura on the same financial data your team works with.
Example requests for an external AI assistant connected to Structura.
Reporting
Dynamic
Excel exports.
Build a report with your own layout and formulas, and reuse that structure for the next reporting period. Tie each report to a saved version of the data so later changes leave the figures you shared intact. Export to Excel with the formulas and structure preserved, ready for your team to continue the analysis.
Security
Protect the data.
Keep the record.
Work on shared financial data with access managed per workspace and a history your team can review.
Data protection
Private, encrypted storage
Financial files are stored privately and encrypted at rest. The database is encrypted and kept off the public internet.
Access
Roles & permissions
Manage access to each workspace with roles that determine who can view the data and who can make changes.
Provenance
Recorded changes
Changes to financial data are recorded with their effect and whether a person or the system made them.
Use cases
Financial due diligence.
Portfolio reporting.
For financial due diligence, bring several years of trial balances into your firm's reporting structure. Record adjustments and eliminations, work through review with your team and deliver the databook in Excel.
For private equity, bring a new acquisition into portfolio reporting using the files its finance team already produces. Reuse the classifications as new periods arrive and compare performance across companies.
See how Structura fits your work.
Tell us how you prepare and review financial data. We’ll walk you through importing trial balances, reviewing mappings and building a report.