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mERP docAI can quickly and reliably capture and extract key values from documents, enabling the automation of core data overviews for company processes.
mERP docAI can read invoices, delivery notes, contracts and safety data sheets. It stores the extracted data in your ERP system and can be configured to handle other document types at any time.
Local LLMs (large language models) perform data processing dynamically, with the model and training frequency selected according to the area of application.
mERP does not require a cloud connection; it works with local on-site hosting. This means that your data stays where it belongs.
Thanks to the REST API, mERP docAI can be seamlessly integrated into your existing IT infrastructure with minimal effort.
Intelligent data analysis and structuring supports data-driven decision-making, enabling medium-sized companies to boost their efficiency.
Thanks to its adaptability and independence from cloud providers, mERP is a secure solution for small and medium-sized enterprises looking to integrate AI-based optimisation options into their processes.
mERP docAI is a modular extension for modern ERP systems. It uses the power of generative artificial intelligence and image recognition to automatically extract information from structured and unstructured documents. It uses locally installed large language models (LLMs) that intelligently analyze both free text (contracts, emails) and forms (e.g., invoices, delivery notes) and convert them into structured data. Thanks to GDPR-compliant data protection, mERP docAI can be used to process sensitive data such as personal information. free text (contracts, emails), and forms (e.g., invoices, delivery notes) and convert it into structured data. Thanks to GDPR-compliant local installation, companies retain control over their sensitive business data at all times—without dependence on cloud providers such as OpenAI or Google.
Typical use cases
mERP docAI is the ideal solution for companies that want to automate document-based processes while meeting the highest data protection requirements.
According to https://www.hostinger.com/tutorials/llm-statistics, 88% of LLM users report that the quality of their work has improved thanks to the use of LLMs
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