
Generate Financial Databooks within minutes from scratch
Rapidly extract financial data from annual reports and trial balances, quickly review the data using AI, and finally export a complete & customised databook for further analysis
Precision at Pase

Clean financial from Messy Files
Our proprietary AI is built with deep financial accounting expertise, enabling it to extract, structure, and classify all financial data directly from the target company's documents.
Annual Reports
Monthly Trial Balance
Review, Adjust & Export Financials
Quickly reconcile annual reports with monthly trial balances, apply corrections, add company-specific adjustments, and export a comprehensive databook featuring Balance Sheets, P&L, Working Capital Analysis, Net Debt Analysis, and much more.
Reconcile Financial Data
Apply Corrections & Adjustments
Export Databook


Identify Trends & Outliers
Spot trends and uncover anomalies with financial heatmaps, while our AI lets you ask financial questions to reveal hidden risks—making complex insights instantly accessible
Financial Heatmaps
Financial Intelligence Assistant
Features
AI Categorization
Our AI leverages deep, country-specific accounting knowledge to automatically categorize all accounts, enabling the seamless creation of comprehensive financial statements for databooks.

Trial Balance Automation
Our software automatically extracts financial accounts from multiple trial balances, intelligently merges them, and organizes the data into a clean, reusable dataset—ready for analysis or reporting.

Reconile Data Sources
Confidently trust your numbers. Our software pulls data directly from annual reports and helps you reconciles it with trial balances to ensure accuracy and consistency

About Us

CEO - Frieder Barten
Frieder Barten is an expert in mid-market M&A, corporate finance, and financial modeling. As Managing Director of Cendas GmbH since 2018, he advises on business transactions, including valuation, deal structuring, due diligence, and financial modeling.

CTO - Naman Jain
Experienced full-stack and data engineer with a strong background in startups and scale-ups. Naman has built data platforms at Yelp, led product development across fast-moving teams, and co-founded tech ventures focused on delivering business impact.
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