Quanthome Data Engine
Our engineers structure your data. Every Quanthome tool runs on it. Your data sits in spreadsheets, PDFs and data rooms. Quanthome engineers work with your team to structure it into one governed base: standardized fields, entities matched across sources, every figure validated and linked back to the document it came from. The base is then available in the Quanthome platform, in Quanthome AI, through the API and MCP, and in Quanthome Workflows. The same engineers automate the AI processes that run on top. Bring one reporting cycle and we structure it with you.
Inside the engine
Two engines run inside a secured layer: one structures your documents, one audits the result. Our engineers operate them with your team, on your data, until every figure traces back to its source.
What a deployment delivers
Engineers, two engines, and one base your whole Quanthome stack reads from.
Engineers on your data
Quanthome engineers join your team for the deployment. They map your sources, structure them, and stay on to automate the AI processes you run on top.
Data Quality Engine
Spreadsheets, PDFs and data rooms are structured, standardized and entity-matched: the same asset, fund or counterparty resolves to one record across your sources.
Data Audit Engine
Testing agents validate each extracted figure and cross-check each other's work. Each number stays traceable to the record, and the document, it came from.
One base, every tool
The structured base is reachable in the Quanthome platform, in Quanthome AI, through the API and MCP, and by Quanthome Workflows. Structure once, use everywhere.
Why teams pick Quanthome
Three things set the engine apart for real estate and finance.
Entity matching
We resolve the same asset, fund or counterparty across documents and registries, so your data joins up instead of fragmenting.
Real estate ground truth
Your holdings are matched against Quanthome's market coverage: 140+ vehicles and every building in Switzerland, so structured data lands on real assets.
Model-agnostic
We route each task to the model that performs best on it and swap models as they improve, so you are never locked to one vendor.
The jobs this product enables
These are the jobs that depend on your data being structured, reconciled, and audited first.
Portfolio reconciliation
Reconcile internal books against administrator statements, valuations and bank data in one structured base, every variance flagged with its source, so errors surface before the audit and each cycle is a refresh, not a rebuild.
Data room audit
Query a full data room in plain language and hand over reports where every figure cites its source.
How a deployment runs
A deployment is engineers working with your team, not a licence handed over.
Start with one cycle
You bring one reporting cycle and its current files. We map the sources and agree on the deliverable.
We structure it with you
Quanthome engineers build the base on your data: standardized, entity-matched, audited, every figure source-linked.
We automate the processes on top
The same engineers encode your reporting and due-diligence steps as workflows that run on the base, and connect them to the tools your team already uses.
Twelve months of working sessions
Every deployment includes twelve months of sessions with your team to ship workflows, embed them, and keep improving them after go-live. The workflows stay yours.
What we guarantee for your data
- AnonymizationClient data is anonymized inside the engine, so structuring and analysis never expose identifiable holdings.
- No training on client dataYour data is never used to train models, and serves only your own reports and analysis.
- No distributionClient data is never shared, sold, or distributed to any third party or other client.
- No retentionData is retained only as long as the engagement requires it and is then removed, never kept beyond its purpose.
Questions we hear most
Who does the work?
Quanthome engineers. They deploy with your team, structure your data, and stay on to automate the processes that run on it. You are not handed a tool and left to configure it.
Does the Data Engine see our raw data?
Your data is structured inside the engine and anonymized. It is never used to train models, never distributed, and never retained beyond what the engagement requires.
Which tools can read the structured base?
All of them: the Quanthome platform, Quanthome AI, the API and MCP, and Quanthome Workflows. The base is built once and every Quanthome tool reads the same records.
How is the annual fee set?
The annual fee is scaled to the organization and includes the licenses. We size it in the working session once the scope of the data and the reporting cycle is clear.
Can we keep our own report templates?
Yes. You define the templates and the engine populates them from structured data, so the output matches the format your investors and auditors already expect.
Bring one reporting cycle
Bring one reporting cycle and its current files. We will map how the engine structures it and show the deliverable produced from a template you control.
Let's discuss your project