Turn finance judgement into a reporting system that runs every cycle.
Datavrn makes the layer between source data and the decision repeatable. Preserve the inputs, apply confirmed methodology through deterministic engines, and retain the evidence behind the result. Finance teams spend less time rebuilding the process and more time explaining what changed.
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.
The first cycle produces the report. Every cycle after it compounds the method.
Datavrn does not ask finance teams to trade judgement for automation. It turns the work around that judgement into a controlled, reusable cycle.
Bring the real source into one controlled cycle.
Start with the data finance actually receives. Datavrn preserves source provenance and the fields permitted for each format, while people-data formats exclude personal fields by design; gaps remain visible for review.
Review only what needs a decision.
Suggestions stay separate from confirmed decisions. Unresolved groupings and disclosures remain visible until an authorised user or agent confirms them.
Issue a result you can stand behind.
Deterministic engines calculate and reconcile the output. The inputs, working and confirmed methodology are preserved in Datavrn alongside the result; an undefined measure never becomes a reassuring zero.
Make next month easier than this month.
Each preserved run pins the inputs, decisions and engine context used. The team can reproduce what it issued without allowing later setup to silently rewrite the past.
Scale senior finance judgement without cloning the workbook process.
Virtual CFO practices need portfolio leverage. Enterprise finance teams need control across entities and systems. Both need reusable methodology without erasing local judgement. The released starting point is one standalone Entity; portfolio and group workflows are being built on the same architecture.
Virtual CFO and outsourced-finance practices
Turn senior judgement into a repeatable service model across a portfolio. Reuse standards and prior decisions as suggestions while each Entity retains its own confirmed methodology and reporting history.
Enterprise and group finance teams
Give group finance one controlled reporting layer across entities and source systems. Preserve member detail, responsibility and source provenance behind every group-level answer.
Tuesday, 9:04 am. You open Datavrn. Four clients are ready to run, two are awaiting data — the reminder links already went out — and one pack sits in review with a note from your manager. By the time the coffee is done, four drafts are generated: the methodology each client confirmed last month has already done the assembly. Your morning goes to the two judgement calls that actually need you.
Illustrative — portfolio workflows are in development; today's released workflow covers one standalone Entity.
- Organization
- Entity
- Reporting period
- Preserved run
- Organization
- Group
- Member entities
- Reporting period
- Preserved run
Built by Chartered Accountants who have produced management reporting across client portfolios, global enterprise controls and operating finance. Meet the founders →
The conversational surface can change. The source of the numbers does not.
Work directly in Datavrn, connect your enterprise AI, or use optional Datavrn AI. The same permissions, explicit confirmations and deterministic calculations remain underneath every mode.
Use Datavrn directly
Complete every reporting workflow available today in Datavrn with your finance team. No AI is required, and 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. It can work within the Datavrn journeys available today, and take on more as those 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 →
Start with financial statements. Extend the same controls across management reporting.
One standalone Entity: Trial Balance to Excel
Upload a Trial Balance, confirm the prescribed Schedule III groupings and disclosures, and export either an Excel working draft with live links or a clean finalised workbook with fixed values. Datavrn prepares the statements; it does not file or certify them. No AI is required.
The wider management-reporting cycle
Allocation, consolidation, operating metrics and management packs are being built on the same preserved-input, confirmed-methodology and deterministic-engine design. Additional actions through connected AI become available with the reporting workflows they operate.