NeuroDeal provides an AI-powered platform for rapidly generating customized financial databooks from source documents. The software extracts, structures, and classifies financial data from annual reports and trial balances with deep accounting expertise. Users can reconcile data, apply adjustments, and export comprehensive analyses including P&L and Working Capital statements.
Funding
Funding not disclosed
Founders
Product
Problem
Companies and financial analysts often spend extensive time manually extracting, classifying, and reconciling financial data from annual reports and disparate trial balances. The process is error‑prone, requires deep accounting expertise, and delays downstream analysis such as valuation, working‑capital assessment, and risk identification. Consequently, timely insight generation for M&A, due diligence, and strategic planning is hindered.
Solution
NeuroDeal delivers an AI‑driven platform that automatically extracts financial line items from annual reports and monthly trial balances, then structures and classifies them using country‑specific accounting rules. The system reconciles multiple data sources, allows users to apply custom adjustments, and generates a fully formatted financial databook that includes balance sheets, profit & loss statements, working‑capital and net‑debt analyses. Integrated financial heatmaps highlight trends and outliers, while an AI‑powered assistant answers ad‑hoc queries to surface hidden risks. All outputs can be exported for further modeling or reporting, reducing manual effort from days to minutes and improving data reliability for decision‑makers.
Target Audience
Primary users are corporate finance teams, M&A analysts, private‑equity professionals, and auditors who need rapid, accurate extraction and analysis of target‑company financials for valuation, due diligence, and reporting. The platform also serves CFOs and financial controllers seeking to streamline internal financial data consolidation.
Features
- Proprietary AI models trained on deep, jurisdiction‑specific accounting standards for automatic account categorization
- Trial‑balance automation that extracts, merges, and normalizes accounts from multiple monthly statements into a clean dataset
- End‑to‑end reconciliation engine that aligns annual report figures with trial‑balance data and flags inconsistencies
- Custom adjustment layer enabling users to apply company‑specific corrections before finalizing the databook
- One‑click export of comprehensive financial statements, including Balance Sheet, P&L, Working Capital, and Net Debt analyses
- Interactive financial heatmaps that visualize trends, anomalies, and variance across periods
- AI Financial Intelligence Assistant that interprets natural‑language queries to surface insights and risk indicators
- Secure, cloud‑based processing pipeline ensuring data confidentiality and audit‑ready traceability