Turn the close into a decision-ready view of the business.
Datavrn turns the reporting judgement between closed books and business decisions into a governed system — encoded once, run every cycle, every number traceable to its source. Work with AI or without: your enterprise AI, optional Datavrn AI, or neither. The numbers come out the same.
Available now: for one standalone Entity, take a Trial Balance to Schedule III financial statements in Excel — as a working draft with live links or a clean finalised workbook with fixed values.
Sign up with your work email — no invitation, no waiting list, no password.
Employee costs₹86.4L⚑ +16.3%drill ⌕The books close. The dashboard refreshes. The reporting judgement between them still lives in spreadsheets.
For many finance teams, that in-between layer is where the numbers that steer a business are assembled: which products earn their margin, which units pull their weight, and where the trend is heading. It draws from the ledger, billing, bank, payroll, sales and stock, then reconciles allocations, consolidations, adjustments and professional judgement into one management view. Across disconnected tools, that work is slow to repeat and difficult to defend.
Datavrn makes that layer a product. It brings those inputs together, encodes the methodology once and runs it every cycle, so the depth that used to take days arrives with the close — clear enough for leadership to act on and strong enough to stand behind in the room.
The pricing call, the hiring decision, the vendor negotiation — most of a month's decisions are made in its first two weeks. A pack that arrives on day 15 arrives after them. One that arrives with the close still has a say.
Click any figure. Follow it to the source.
Illustrative product direction with fictional data.
A preview of the four-level drill-down planned for the management pack.
Today's released workflow provides its source trail through the linked Excel workbook.
Set the reporting method once. Repeat the reporting cycle without rebuilding it.
Available today: Trial Balance to financial statements for one standalone Entity. As allocation, consolidation, operating metrics and the management pack are released, the same workflow will carry more of the reporting cycle: bring in the inputs, resolve the exceptions, review the result and retain the trail.
Start from the source data finance uses.
Preserve source provenance and the permitted fields needed for reporting; people-data formats exclude personal fields by design.
Spend time on the exceptions.
Datavrn brings missing or uncertain items forward for review. Nothing is silently decided for you; each confirmation remains attributable.
Make this month’s decisions reusable.
Carry confirmed mappings and reporting structures forward. New or changed items return as suggestions for explicit review, while each period retains the methodology version it used.
Let the repeatable work run.
Released workflows recalculate consistently and reconcile the output. Allocation and consolidation will follow the same model as they are released.
Know what is ready to share.
Draft, review and approval remain distinct, so the team knows what still needs attention and who confirmed the result.
Answer “where did this number come from?”
Preserve the source context, inputs and working in Datavrn alongside the result, so your team can explain and reproduce what was reported.
Use the product directly. Or ask for what you need in conversation.
The reporting method and calculations stay the same in every mode. Choose how your team asks for information and takes action.
Work directly in Datavrn
Complete every reporting workflow available today directly in Datavrn with your team. Nothing is held back for AI users.
Connect your enterprise AI
Let your approved enterprise AI ask Datavrn questions and complete only the actions it has permission to perform. The connection is live today: it works within the released Datavrn journeys, and takes on more as new journeys are released.
Talk to Datavrn AI
Ask Datavrn AI for help while you work or for an explanation of a supported finalised-statement result. It is optional, controlled by your organisation, and never calculates or changes the figure.
Every AI mode runs under disclosed, allow-listed data boundaries — what each request may carry, to whom, and which requests may be processed outside India is stated precisely on our security page. How AI data is handled →
However you choose to interact, Datavrn applies the same methodology, permissions and confirmations. Deterministic engines compute every reported figure: AI changes how you work with the system, not how the number is produced.
One governed reporting architecture. Different operating models.
Use the financial and operational measures that fit the business without changing the controls underneath. Missing data is flagged, never guessed.
Illustrative product direction — fictional companies and figures showing how the governed architecture adapts by operating model. Pack Confidence is a planned readiness grade computed from the run itself — unallocated amounts, unresolved items, data staleness — never a model's judgement.
It tells you what it doesn't know.
Datavrn shows its workings, including the gaps. Missing data is greyed and labelled. An undefined ratio reads “n/m,” never a misleading 0%. Every estimate carries its basis. The result is a number you can stand behind.
Every figure is produced by a deterministic engine — no model generates, estimates or adjusts one, because a confidently wrong number would defeat the point of the product.
Work directly in Datavrn or ask for what you need through your enterprise AI or optional Datavrn AI. The conversation can change; the calculation cannot.
Give every Entity a consistent reporting cycle without forcing every Entity into the same mould.
Reuse proven structures and prior decisions as suggestions, while keeping each Entity's confirmed reporting method and history separate. Your team spends less time cloning workbooks and more time reviewing what changed.
Datavrn is designed for these operating models. Today, the available workflow covers one standalone Entity; portfolio, group and wider management-reporting workflows are in development.
- 1Organization
- 2Entity
- 3Reporting period
- 4Preserved run
- 1Organization
- 2Group
- 3Member entities
- 4Reporting period
- 5Preserved run
Virtual CFO & outsourced finance practices
Producing management reporting across a portfolio of clients. Run each client’s methodology consistently without rebuilding the reporting process every month.
Enterprise CFOs & finance leaders
Bringing together reporting across entities, business units and geographies. Get one management view without losing the operating detail behind it.
FP&A & management-reporting teams
Building cost-centre P&Ls, consolidations and variance analysis by hand. Let the assembly run as software so your time goes to the decision, not the plumbing.
Built by finance leaders who lived this problem from every seat.
Two Chartered Accountants bring first-hand experience across CA practice, global enterprise controls, multi-currency treasury, SaaS finance leadership and multi-entity reporting. That experience shapes the controls, workflow and level of detail Datavrn is built to carry.
Meet the founders →Start today — or build it with us.
Two ways in, and neither of them is a queue.
For one standalone Entity, take a Trial Balance to Schedule III financial statements in Excel — as a working draft with live links or a clean finalised workbook with fixed values. Datavrn prepares the statements; it does not file or certify them.
Allocation, consolidation, operating metrics and the full management pack — then planning and scenarios on the same architecture. See the sequence →
Sign up and use it now
Free to start, with your work email. No invitation, no waiting list, no password.
And as paid plans arrive, pricing follows deliverables — you pay when a pack is delivered, rework never costs extra, and a failed run never charges.
Start free →Or build it with us
We're also choosing a small group of design partners: a direct line to the two founders, a real say in what gets built, and the methodology you've refined over years encoded as software. If that's you, tell us what you report on.
Datavrn is built by two Chartered Accountants who spent their careers producing these packs. Meet the founders →