Seecon provides an AI‑driven platform that automates the collection, validation, and analysis of financial data for M&A due diligence. By extracting key metrics from contracts and statements, detecting anomalies, and generating customizable, audit‑ready reports, it speeds up deal preparation and enables real‑time collaboration for corporate development, investment banks, private equity, and advisory firms.
Funding
Funding not disclosed
Founders
Product
Problem
Financial due diligence and deal preparation in mergers and acquisitions often involve manual data collection, fragmented analysis tools, and lengthy turnaround times, which increase costs and the risk of oversight.
Solution
Seecon offers an AI‑driven platform that automates the aggregation, validation, and analysis of financial data for M&A transactions. The system ingests source documents, extracts key metrics, and applies machine‑learning models to identify anomalies, benchmark performance, and generate risk assessments. Users receive standardized, customizable reports that can be exported to common deal‑flow tools, reducing the time required to produce due‑diligence deliverables. By providing a single, cloud‑based workspace, Seecon enables deal teams to collaborate in real time while maintaining data security and audit trails.
Target Audience
Primary customers are corporate development teams, investment banks, private equity firms, and M&A advisory boutiques that require efficient, data‑driven due‑diligence workflows.
Features
- Automated data extraction from contracts, financial statements, and third‑party sources using natural‑language processing
- AI‑powered anomaly detection and valuation benchmarking across comparable transactions
- Real‑time collaborative workspace with version control and permission management
- Configurable reporting templates that produce audit‑ready due‑diligence packages
- Secure cloud storage with encryption and role‑based access controls
- Integration connectors for popular CRM and deal‑management platforms via API