Skelter provides an AI‑driven audit platform that automatically extracts financial data from PDFs, spreadsheets, and ERP systems, then applies machine‑learning models to identify anomalies, compliance gaps, and performance outliers. Real‑time risk scores and configurable dashboards prioritize high‑impact findings, enabling auditors to focus on judgmental analysis and accelerate audit cycles.
Funding
Funding not disclosed
Founders
Product
Problem
Financial auditors spend extensive time manually extracting data from disparate sources and performing repetitive analytical checks, which increases labor costs and the risk of human error. This manual process slows audit cycles and can miss subtle anomalies or compliance issues.
Solution
Skellet offers an AI‑driven audit platform that automates the extraction of financial data from documents, spreadsheets, and ERP systems, then applies machine‑learning models to conduct analytical reviews. The system flags irregular transactions, potential compliance breaches, and performance outliers, allowing auditors to focus on judgmental tasks. Integrated dashboards present insights and risk scores in real time, streamlining the audit workflow and enhancing overall accuracy.
Target Audience
Skelter targets accounting firms, internal audit departments, and financial compliance teams that need to accelerate audit cycles while maintaining high accuracy.
Features
- Automated data ingestion from PDFs, Excel files, and major accounting software using natural‑language processing
- Machine‑learning models that perform continuous analytical reviews to detect anomalies and compliance gaps
- Real‑time risk scoring and visual dashboards that prioritize high‑impact findings for auditor review
- Configurable rule sets that align with industry standards such as IFRS, GAAP, and regulatory requirements
- Seamless export of audit findings and reports to common audit management tools and document formats