Fundamentia
Fundamentia is an operations consulting company that helps clients improve efficiency and data quality by digitizing data capture processes. Their proprietary technology, SimplÿData, uses Natural Language Processing (NLP) and Artificial Intelligence (AI) to automatically identify, classify, and extract data from any document. SimplÿData offers high success rates, exceeding 99% for identification and classification, and over 95% for data extraction. The solution is native in English and Spanish, can process multiple languages, and integrates with existing systems. It can be deployed On Premise or in the Cloud, and complements BPM and RPA solutions. Fundamentia has a team of highly qualified professionals specialized in functional areas and technology.
Fundamentia
Fundamentia is an operations consulting company that helps clients improve efficiency and data quality by digitizing data capture processes. Their proprietary technology, SimplÿData, uses Natural Language Processing (NLP) and Artificial Intelligence (AI) to automatically identify, classify, and extract data from any document. SimplÿData offers high success rates, exceeding 99% for identification and classification, and over 95% for data extraction. The solution is native in English and Spanish, can process multiple languages, and integrates with existing systems. It can be deployed On Premise or in the Cloud, and complements BPM and RPA solutions. Fundamentia has a team of highly qualified professionals specialized in functional areas and technology.
TL;DR
Headquarters: Madrid, Spain
Product: SimplüData — AI/NLP document identification, classification, and data extraction
Employees: 2–10 (site listings); 7 (company snapshot)
Founded: 2013
Last funding: Grant, Jan 2019
Company Overview
Problem Domain
Document capture, classification, and enterprise data extraction to improve operational efficiency and data quality.
Founded
2013
Industry
Operations consulting / B2B SaaS (document processing)
Tech Stack
Funding Track Record
80000.00
Funding includes a Horizon 2020 grant (grant agreement No 867653) and regional public fund support (e.g., IVACE).