NP Labs provides customized AI integration for corporate systems, utilizing large language models LLMs and retrieval-augmented generation RAG to enhance data processing and semantic document search. The company addresses inefficiencies in information retrieval and decision-making by enabling businesses to quickly access and analyze complex data from various document formats.
Funding
€6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many organizations struggle with inefficient data processing and information retrieval due to the complexity of accessing and analyzing data stored in various document formats across disparate systems. This can lead to delays in decision-making and hinder the ability to leverage valuable insights hidden within unstructured data.
Solution
NP Labs offers customized AI integration solutions that leverage large language models (LLMs) and retrieval-augmented generation (RAG) to streamline data processing and enhance semantic document search capabilities for corporate systems. By integrating AI into existing systems, NP Labs enables businesses to quickly and efficiently access, analyze, and extract insights from complex data stored in various document formats. The platform provides a complete processing pipeline for diverse document types, facilitating intelligent searches and improved data-driven decision-making.
Target Audience
NP Labs primarily targets businesses across various industries seeking to improve data processing, enhance information retrieval, and leverage AI for better decision-making.
Features
- Customized AI integration into existing corporate systems
- Semantic document search for rapid information retrieval
- Complete processing pipeline for PDFs, spreadsheets, and other document formats
- AI-powered chatbots for improved customer interaction
- Secure and protected information handling
- API integration for seamless connectivity with existing systems