Vaulter Technologies, Inc.
Walter is an AI employee that reads business documents, validates the data, and writes it into a company's ERP system.
The Problem
Companies processing sales orders, bills of material, and other paperwork rely on manual data entry or legacy template-based OCR tools that require heavy setup and tuning. Orders arrive by email and PDF and must be parsed, checked against catalogs, and keyed into ERP systems by hand or via rigid rule-based validation. This is slow, for example sales order processing described as taking around 15 minutes per order, and procurement document review is described as consuming over 60 hours per week. Legacy OCR systems are limited to a handful of languages, use manual validation rules, and do not improve over time.
The Solution
Walter is positioned as an AI employee that reads documents, captures and validates data, and integrates it directly into a company's ERP system. It is built on a purpose-built LLM rather than template-based OCR, supports over 270 languages, and reaches above 90% accuracy after seeing just 10 documents, without manual setup and tuning. It performs native ERP cross-checks for validation instead of relying on manual rules, and includes built-in workflows rather than bolt-on RPA. The page describes two specific use cases: order management, where sales orders are parsed from email and PDFs, validated against a catalog, and written to the ERP, reducing processing time from 15 minutes to 1 minute; and procurement, where bills of material are analyzed to identify purchase needs, supplier fit, and vendor outreach, saving over 60 hours per week.