
Anyformat
The Gen-AI data extraction platform.
Date | Investors | Amount | Round |
---|---|---|---|
* | €520k | Seed | |
Total Funding | 000k |
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Anyformat, a Spanish generative artificial intelligence startup founded in 2024, is positioned to address the pervasive issue of underutilized unstructured data within enterprises. The company was established by Juan Huguet (CEO), Alejandro Fernández (COO), and Diego Pérez (CTO). Based in Madrid with offices at the Google for Startups campus and in Mallorca, the firm secured €520,000 in a pre-seed funding round in October 2024. This investment was led by 4Founders Capital and Abac Nest Ventures, with participation from several business angels, to accelerate the platform's development and team expansion.
The core of Anyformat's business is a no-code, AI-powered Software-as-a-Service (SaaS) platform designed to extract, structure, and validate data from a multitude of sources without requiring technical expertise from the user. It tackles the reality that an estimated 80% of company data is unstructured and, therefore, difficult to process and analyze. The platform allows business users and domain experts to configure data extraction workflows in minutes, automating what was previously a manual and time-intensive process. It can process diverse formats including documents, presentations, scanned files, and even voice recordings, turning them into structured, actionable tables. This enables organizations to optimize processes and enhance data-driven decision-making. Anyformat's business model is centered on providing this technology as a scalable and easily integrated solution that prioritizes data security and privacy.
The platform offers features such as human-in-the-loop validation, ensuring precision and human oversight. It promises high accuracy with traceable results that provide evidence and confidence scores for all extracted data. The system leverages a combination of best-in-class foundational models from providers like OpenAI and Anthropic, layered with its own proprietary models to fine-tune the data extraction pipeline. Key use cases span across various industries, including logistics, where it automates data extraction from bills of lading and customs declarations, and other sectors that rely on complex technical documents. The company aims to transform this extracted information into a competitive advantage for its clients, which range from public safety government infrastructures to industries like aviation, energy, and manufacturing.
Keywords: unstructured data extraction, generative AI platform, no-code AI, data automation, document intelligence, data validation, business process optimization, SaaS, AI data analysis, human-in-the-loop, data structuring, strategic insights, Madrid startup, enterprise AI, workflow automation, complex document processing, data extraction API, AI for logistics, data privacy, pre-seed funding