of finance team time goes to data gathering and reporting, not analysis
Adaptive Insights CFO surveyStop preparing data.
Start deciding.
Finance teams spend more than half their week gathering and reconciling numbers before a single insight happens. Finpy connects the systems your company already runs, prepares the evidence, and delivers the answers, reports, alerts and scenarios behind your next decision — every figure traced back to its source.
Your systems stay in placeEvery answer cites its sources
You
Show our open pipeline by stage, including deal count and value.
Finpy
Analysis details ⌄
Open pipeline⌁€2.999.040
Weighted forecast⌁€2.291.352
Open deals⌁8
Historical win rate⌁31,4 %
As of 17 July 2026, your HubSpot Sales Pipeline shows €2.999.040 in open pipeline across 8 deals. Here's the breakdown by stage:
- Qualified To Buy: 2 deals worth €479.760
- Presentation Scheduled: 2 deals worth €239.760
- Decision Maker Bought-In: 2 deals worth €959.760
- Contract Sent: 2 deals worth €1.319.760 (that's 44 % of the total open pipeline).
Pipeline by stage — Sales PipelineTable · 4 rows · 3 columnsOpen ↗
Cumulative stage reach — Sales PipelineTable · 3 rows · 5 columnsOpen ↗
Sources
Ask a follow-up...
Finpy Explore uses your company data only. It can make mistakes — check figures in Library.
The problem
The insight isn't the hard part. The preparation is.
Every report starts the same way: export from accounting, export from the CRM, match periods, fix mappings, reconcile the numbers nobody trusts yet. By the time the data is clean, the meeting is tomorrow — and the strategic question (“what actually drove this?”) gets the leftover hour.
of a CFO's time is supposed to go to strategy — the ambition, rarely the reality
Deloittewhat's usually left for the actual thinking, after the prep is done
The Finpy system
From your company stack to a decision you can defend.
Finpy does the preparation before you ask: systems connected, evidence reconciled, and a brief shaped around the decision in front of you.
DACH-native
Built around the systems companies here actually run — DATEV at the core, your billing, CRM and banking around it. Your stack connects as it is. Nothing is replaced, nothing is migrated.
Evidence-gated answers
Every figure carries its source. Finpy only answers where the deterministic finance layer can back it — missing evidence is shown, never guessed.
Decision briefs, not dashboards
You don't get another screen to interpret. You get the finding, its drivers, and the trade-offs — prepared before the meeting begins.
How it works
A finance workflow built around the question.
01
Bring your company stack together.
The systems your company runs on—accounting, billing, CRM, banking—meet in one governed finance layer, without replacing anything your team already trusts.
DATEV
StripeHubSpot
finAPI02
Let the evidence resolve first.
Mappings, period logic and reconciliations run before any answer is written. Gaps stay visible instead of becoming a confident guess.
03
Walk into the meeting with the brief.
Ask the question you'd ask your finance lead. Get the answer, its drivers, and the underlying source records in one place.
Questions, prepared
The decisions hiding inside your data.
Cross-source questions used to mean a week of exports. Now they take a sentence:
Why did gross margin move in June?
What changes our cash runway most?
How much revenue is truly in reach?
What deserves attention this month?
Evidence layer
Trust is a product feature.
AI in finance fails in one predictable way: confident numbers with no origin. Finpy separates calculation from explanation. Deterministic finance logic prepares the numbers; AI turns verified findings into a clear brief. Every claim can be opened back to its origin.
Answer trailReconciled
Revenue movementBilling · 619 invoices€1.08M
Hosting varianceAccounting · accounts 4800–4985+€57k
Pipeline coverageCRM · 42 open deals2.7×
Cash positionBanking · 3 connected accounts€884k
Our point of view
Finance software should shrink the distance between a question and a good decision.
More dashboards don't create more clarity. Founders and finance leads need the few facts that change the decision — prepared in time, backed by evidence, ready to defend in the room.
That is why Finpy begins with the source trail, not the generated answer—and why the finished product reads like a brief, not a control room.
Why I'm building this
Finpy is built by an operator, not a tourist. I spent years as a startup finance lead preparing exactly these reports — exporting, mapping, reconciling — and watching the strategic question get the leftover hour. I built the finance function, ran the fundraise, closed the M&A deal. Finpy is the system I wished I had on those nights.
— {{FOUNDER_NAME}}
Finpy is in early access. We're working closely with a small number of DACH finance teams to shape the product — if the problem above sounds like your week, we'd like to talk.
Bring the next decision.
Finpy will prepare the finance behind it.