Template and format agnostic AI-driven Financial Statement Analysis
Evaluate SMEs and corporates for credit rating, audit, compliance and risk assessment by analyzing financial data
Our approach to AI-driven financial statement analysis
Trusted by one of the Big4 Consultancy firm
Seamless Financial Statement Analysis
Cygnet’s financial statement analyzer offers detailed insights by examining balance sheets and income statements, validating diverse terminologies and mapping as per dictionary standards with IDP/AI -OCR-based data extraction capabilities.
Parameters obtained with automated Financial Statement Analysis
Financial Performance
Liquidity information
Profitability
Efficiency ratio – Asset
Solvency ratio
Operating cash flow
ROI
Margin statement
Supplier concentration
Balance sheet
P&L details
Automation at ease with Bank Statement Analysis
AI-driven bank statement analysis simplifies financial processes by enhancing efficiency, accuracy, and speed. It automates data extraction from various formats, categorizes transactions, and accelerates loan approvals, significantly reducing manual effort and errors. An ML-trained financial statement processor also strengthens fraud detection, offers detailed financial evaluations with customized reports, and enables precise customer categorization and risk analysis. Leveraging AI-driven bank statement analysis boosts competitiveness and meets customer needs in a secure, efficient financial ecosystem.
Tech Fact
Increase your employee productivity by 75% and reduce corporate risk profiling Turnaround Time from 4 to 1 man-hour with Financial Statement Analysis. Trained to understand the accounting rules, our engine can easily read and interpret financial statements.
With our Financial Statement Analyzer
Learn more about FSA with a success story
A leading consultancy firm overcame manual and operation-oriented transfer pricing audit challenges with intelligent document processing. They leveraged AI-driven financial statement analysis and RPA bots. This transformation resulted in audits being conducted more efficiently, reducing time by 75%, and mitigating risks associated with diverse data formats. The success was marked by substantial operational cost savings, up to 50%, positioning the auditor as a leader in leveraging technology to enhance accuracy and streamline processes in the dynamic global business environment.
FAQ’s
Cygnet’s Financial Statement Analyzer is an AI-driven solution that processes financial statements from various formats, offering in-depth insights into balance sheets, income statements, and other financial documents. The platform uses intelligent document processing (IDP) and AI-OCR technology to streamline financial analysis for credit ratings, audits, compliance, and risk assessments.
Our platform is template-agnostic, meaning it can process various formats and structures of financial statements without requiring a predefined layout. The system reads and interprets the statements, extracting key data points using machine learning and advanced image processing techniques.
The system generates customized reports in formats such as JSON and Excel. These reports include financial ratios, key performance metrics, and other analytics that help make informed decisions. The solution also allows for direct integration of these reports into workflows via APIs and webhooks.
The Financial Statement Analyzer categorizes line items and transactions according to multiple accounting standards, including GAAP, IFRS, and IndAS. This allows for seamless global compliance and standardization.
- Faster turnaround time, reducing manual data entry and response times by 60%.
- Accurate extraction of tables and statements with machine learning.
- Seamless generation of reports that can be integrated into your workflows.
- Tracking and comparison of financial ratios across industries and geographies.
Cygnet’s financial statement analysis platform ensures data privacy and compliance with industry regulations. The system has built-in security protocols to protect sensitive financial information during processing and storage.
Yes, the platform is designed for easy integration via APIs and webhooks, allowing it to fit seamlessly into your current workflows without the need for significant changes to your IT infrastructure.