Klassif.ai utilizes machine learning to automate the extraction and classification of data from complex documents, significantly enhancing processing efficiency. This technology reduces manual workload and errors in sales order and invoice management, enabling organizations to save substantial time and improve their order-to-cash cycle.
Funding
Funding not disclosed
Founders
Product
Problem
Many organizations face challenges in efficiently processing large volumes of documents like invoices, sales orders, and delivery notes, leading to manual data entry, increased error rates, and delays in critical business processes. Traditional OCR solutions often struggle with the variability in document formats and require extensive setup for each new template or client.
Solution
Klassif.ai offers an AI-powered intelligent document processing (IDP) platform that automates the extraction and classification of data from complex documents and emails. The platform uses machine learning models trained on labeled data to accurately identify and extract relevant information, such as product names, quantities, and amounts, regardless of document format. By integrating with existing workflows and systems, Klassif.ai streamlines document processing, reduces manual workload, and minimizes errors. The platform continuously learns and improves its accuracy as users process documents, ensuring optimal performance over time. Accessible analytics provide transparency, allowing users to monitor model performance and further refine their workflows.
Target Audience
Klassif.ai targets organizations across various industries that handle large volumes of documents and are looking to automate their document processing workflows, including customer support teams, rental departments, and financial institutions.
Features
- AI-powered document classification and data extraction from various document types (invoices, orders, delivery notes, etc.)
- Integration with existing systems and workflows via out-of-the-box connectors (Outlook, Gmail, Dropbox, etc.)
- Continuous learning and improvement of AI models through user-labeled training data
- Accessible analytics dashboard for monitoring model performance and identifying areas for improvement
- Natural Language Processing (NLP) capabilities for efficient processing of email orders
- Automated extraction of Certificate of Analysis (COA) data, including product name, batch/lot number, manufacturer details, test results, and expiration dates
- Intelligent extraction and enrichment of customs documents, including importer/exporter details, Harmonized System Codes, and invoice numbers
- Integration with Microsoft Dynamics 365 F&O and NetSuite
- Integration of Anthropic Claude Sonnet 3.5 (v2) for advanced LLM capabilities
- Ticketing workflow connecting with Jira, ClickUp, and other enterprise tools