Walter is an AI-powered document processing platform that automates paperwork by reading, capturing, and validating data before integrating it directly into ERP systems. It leverages purpose-built LLMs and native ERP cross-checking to achieve over 90% accuracy within 10 documents, replacing traditional template-based OCR. The platform supports 270+ languages and helps enterprises save over 60 hours per week in procurement workflows.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises handling order management and procurement face significant manual paperwork that is time-consuming and error-prone. Traditional document processing tools rely on template-based OCR, which requires extensive setup and tuning, and often fails to deliver high accuracy without complex configuration.
Solution
Walter is an AI employee that reads documents, captures and validates data, and integrates it directly into ERP systems. Using purpose-built LLMs, Walter achieves 90%+ accuracy after just 10 documents, eliminating the need for template setup. The platform performs native ERP cross-checks for validation, reducing reliance on manual rules, and includes built-in workflows that replace bolt-on RPA solutions. Its accuracy improves over time, providing compounding benefits as the system learns from each processed document.
Target Audience
Primary users are enterprises running on ERP systems in order management and procurement departments, particularly teams handling bills of material, purchase needs analysis, and vendor outreach.
Features
- Purpose-built LLM for document understanding, eliminating the need for template-based configuration
- 90%+ accuracy out of the box after only 10 documents
- Native ERP cross-check validation, reducing manual rule creation and error rates
- Built-in workflow automation that replaces bolt-on RPA tools
- Supports 270+ languages for global document processing
- Compounding accuracy improvement over time as the system processes more data