Datavrn
Management reporting your finance team can trust

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.

Start freePreview the management-pack direction

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.

No AI requiredDeterministic calculationsInputs and working preserved

Sign up with your work email — no invitation, no waiting list, no password.

Employee costs₹86.4L⚑ +16.3%drill ⌕
The gap

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.

Trust every number you act on

Click any figure. Follow it to the source.

Illustrative product direction with fictional data.

datavrn.com/pack
Zenalyx Technologies
Management pack · May 2026 · FY 2026-27
B+
Pack
Confidence
87/100

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.

How the work changes

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.

01

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.

02

Spend time on the exceptions.

Datavrn brings missing or uncertain items forward for review. Nothing is silently decided for you; each confirmation remains attributable.

03

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.

04

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.

05

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.

06

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.

Work the way your organisation trusts

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.

01

Work directly in Datavrn

Complete every reporting workflow available today directly in Datavrn with your team. Nothing is held back for AI users.

02

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.

03

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 →

Different ways to work. The same numbers underneath.

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.

Adapted to how the business operates

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.

SaaS / subscription recurring-revenue economics
datavrn.com/pack
Zenalyx Technologies
Management pack · May 2026 · FY 2026-27
B+
Pack Confidence 87/100
ARR
₹24.8 Cr
+38% YoY
NRR
108.2%
vs 112% target
Net burn
₹45.2L
target ≤ ₹40L
Employee costs₹86.4Ldrill ⌕
Revenue from operations₹2.24 Cr
Customer concentration28.4%

Is the recurring-revenue engine still accelerating, and is the burn buying growth? — every figure drills to the contract behind it.

Manufacturing cost, yield and inventory
datavrn.com/pack
Kaveri Precision
Management pack · May 2026 · draft in review
B
Draft not yet sealed
Draft — one review note open before approval. Drafts carry no seal.
Scrap
₹14.8L
4.1% of RM
RM price var
+₹11.2L
adverse
EBITDA
₹74.2L
9.0% margin
Valve bodies — contribution26.2%drill ⌕
Finished goods > 90 days₹38.6L
Power & fuel₹41.8L

Where is margin actually being made or lost — which line, which machine? — traced to the production log and goods receipt.

Services people, projects and lockup
datavrn.com/pack
BrightPath Advisory
Management pack · April 2026 · approved
A−
Pack Confidence 91/100
Approved & sealed · run BP-A412
Utilisation
71.4%
vs 78% target
Realisation
86.3%
of standard
Lockup
92 d
WIP + AR
Project Helios — margin18.2%drill ⌕
Bench cost (unabsorbed)₹11.8L
Timesheets pending2 of 95

Is the team's time turning into margin, or leaking into bench? — every figure drills to the timesheet behind it.

Trading / retail margin, mix and stock health
datavrn.com/pack
Suvarna Retail Ventures
Management pack · April 2026 · approved
B
Pack Confidence 84/100
Gross margin
14.9%
−0.7pp MoM
Inventory
52 d
turns 7.0×
Dead stock
₹38.4L
>180 days
Mobiles — category margin9.8%drill ⌕
Scheme income (2 estimated)₹18.6L
Top supplier share41.2%

Which categories carry the business, and where is cash trapped in dead stock? — traced to the invoice and stock register behind them.

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.

Five moments this is built for →

What makes it trustworthy

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.

A blank, filled
Gross margin
0.0%
silently zeroed
A blank, flagged
Gross margin
n/m
data awaited
clearly labelled
For teams that repeat this work at scale

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.

  1. 1Organization
  2. 2Entity
  3. 3Reporting period
  4. 4Preserved run
  1. 1Organization
  2. 2Group
  3. 3Member entities
  4. 4Reporting period
  5. 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 from finance practice

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 →
Get started

Start today — or build it with us.

Two ways in, and neither of them is a queue.

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. Datavrn prepares the statements; it does not file or certify them.

Expanding on the same platform

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.

What happens next: we read what you report on, and reply by email to set up a short conversation about whether Datavrn fits it. No obligation either way.

We'll only contact you about Datavrn. Privacy policy.

Datavrn is built by two Chartered Accountants who spent their careers producing these packs. Meet the founders →

Datavrn · datavrn.com
Datavrn Notes

Methods, controls and operating lessons from the finance function.

View all posts
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The Reconciliation Gap: Where the Close Gets Stuck

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FP&A

Variance Analysis by Account Type: One Method Does Not Fit All

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