Built by finance leaders who lived this problem from every seat.
Datavrn is built by two Chartered Accountants who have produced management reporting across practice, global enterprise and operating finance — and repeatedly encountered the same fragile assembly layer between source systems and the decision.
Srivatsa VS
LinkedIn →Srivatsa qualified as a Chartered Accountant in 2013 and has spent the years since across every seat in the finance function. In practice, producing management reporting and finance work for a portfolio of clients. At a global technology corporation, strengthening controls across a $12 billion receivables book and treasury operations running in fifty-plus currencies. And as the finance function's first hire at a growth-stage SaaS company — building the monthly close, the controls and leadership reporting from scratch, then running pricing, planning and performance metrics as its VP of Finance & Business.
Across those roles, the same fragile layer sat between the books and the decision: spreadsheets rebuilt every cycle. Datavrn exists to turn that layer into a governed, repeatable reporting system.
Geethanjali S
LinkedIn →Geethanjali qualified as a Chartered Accountant in 2013 and has spent the years since in precisely the work Datavrn encodes: budgeting and variance analysis, segment profitability reporting, multi-entity management reporting and consolidation, and finance support for business decisions. She has produced the packs, run the allocations, reconciled the eliminations and answered for the numbers in the room — cycle after cycle, for businesses of very different shapes.
Her standard is simple: when a finance leader is challenged on a number, the source, working and basis should already be preserved.
Why Datavrn exists
Between us, we have produced management reporting from every side of the table — the CA practice serving many clients, the global corporation, the growth-stage startup, the operating business. The tools changed; the layer in the middle never did. The allocations, the consolidation, the judgement that turns a trial balance and five other systems into something a board can act on — it lived in spreadsheets and in people's heads, and it was rebuilt from scratch every month.
Reported figures come from deterministic engines — AI may help a user understand a supported result, but it never computes one. Datavrn's purpose is to encode finance methodology once so it can be applied consistently each cycle, with the inputs and working preserved, and uncertainty disclosed rather than hidden.
Built for the realities of finance
Portfolio-scale method
Reuse controlled methodology without flattening Entity-specific judgement.
Accountable control
Keep permissions, responsibility and change history visible as the organisation grows.
A repeatable reporting cycle
Carry confirmed methods forward so each cycle starts with prior judgement, not a blank workbook.
Group answers with evidence
Preserve Entity detail, inputs and working behind consolidated reporting.
Start with a Trial Balance and take one standalone Entity through a controlled, linked financial-statement workflow.
Start freeWant to help shape the broader management-reporting platform? Explore the design-partner programme →