Statements in, reviewed
Upload statements or an Excel or CSV workbook. Extracted figures wait in a review screen until a person accepts them, and normalisation adjustments are recorded with their reasons.
One valuation engagement taken from the client’s statements to an approved, issued report — for chartered accountants, registered valuers, CFOs and advisory teams. Every figure comes from a deterministic engine, never from a model.
Built for Indian businesses. Designed for what’s next.
Illustrative interface. Figures are examples, not a valuation.
AI explains, drafts and flags; it never produces a figure. Each valuation run is kept unchanged and keyed to its inputs, so a number in the report can be traced back.
Upload statements or an Excel or CSV workbook. Extracted figures wait in a review screen until a person accepts them, and normalisation adjustments are recorded with their reasons.
DCF, market multiples, precedent transactions, adjusted NAV, earnings and revenue multiples, the VC method, First Chicago, Scorecard and Berkus, reconciled into one conclusion.
Forecasts, sensitivity grids and a simulation lab show how the value moves when an assumption does.
Review points and information requests block approval until they are dealt with. The report builder offers templates for purposes such as FEMA pricing, Income-tax Rule 11UA, ESOP and Ind AS 113 fair value.
Valuations works alongside the rest of Aicountly, so your data stays in one place and your teams stay aligned.
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Chartered accountants, registered valuers, CFOs and advisory teams who take a valuation engagement from the client’s statements to an approved, issued report.
No. A deterministic, versioned engine calculates every figure, and each run is kept unchanged and keyed to its inputs. AI explains, drafts, asks interview questions and flags issues; a report draft that quotes a figure not in the engagement’s data is discarded.
DCF, market multiples, precedent transactions, adjusted NAV, earnings and revenue multiples, the VC method, First Chicago, Scorecard, Berkus, and a documented professional method — reconciled into one conclusion, with sensitivity grids and a simulation lab.
Upload the statements, or an Excel or CSV workbook. Extracted figures are proposed in a review screen and reach the engagement only when a person accepts them.
An engagement moves through data review, model preparation and review to approval before a report is issued. Reviewers raise review points and information requests, and open mandatory items block approval.
A standard report plus templates shaped for purposes such as FEMA / RBI pricing, Income-tax Rule 11UA, ESOP, fundraising and Ind AS 113 fair value. The method chosen and its application remain your professional judgement.
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These quotes reflect experience with the Aicountly suite — not a product-specific endorsement of every module on this page.
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