Send AI Secures $2.39M Investment from Google to Eliminate Manual Data Entry Tasks

Dutch AI startup Send AI Secured a funding round of $2.39 million (€2.2 million), with Google’s AI fund, Gradient Ventures, and the Dutch venture capital firm, Keen Venture Partners, leading the charge. This pre-seed funding round also saw contributions from various current and former executives of companies like UiPath and MongoDB. Google DeepMind .

The company is set to utilize this investment to hasten the creation of advanced internal technologies. AI models and to expand globally.

“In today's world, many individuals prefer to share documents simply by taking a picture. However, the variability in photo quality often leads traditional document processing systems to falter. It's common to find multiple receipts captured in one shot, presented in various orientations—upright, upside down, at different angles—showing just how inventive people can be,” shared Thom Trentelman, co-founder and CEO of Send AI.

“In instances like these, data entry tasks require manual transcription, which consumes time and is prone to errors,” he continued.

Since its establishment in 2021, Send AI has been crafting innovative technology that autonomously interprets documents and extracts significant information. The company specializes in managing intricate paperwork, including photos of documents, subpar scans, and extensive PDFs.

As per Send AI, large organizations leverage its software platform to enhance and refine AI models for efficient and precise document processing. The goal is to put an end to tedious data entry work, which costs companies substantial sums annually.

By leveraging small, yet powerful open-source With its AI models, users can customize their models specifically for their needs, thereby bolstering both data security and overall performance.

Features of Send AI’s Platform for Improved Data Processing

To enhance the data processing experience, Send AI offers a range of features designed to optimize both user interaction and operational efficiency. One noteworthy feature is the Scan to Text tool, employing optical character recognition (OCR) technology to transform images or scans into editable text while maintaining the original layout.

Additionally, it provides robust data extraction capabilities, enabling users to train personalized models for accurately retrieving entities. This can be accomplished even with minimal initial training datasets, which helps streamline operations by pinpointing specific entities in documents and conserving time and resources. language models Send AI also simplifies data exportation, allowing users to export results based on their individual criteria. The platform includes Type Checking for validation purposes, ensuring the precision and reliability of the data that gets exported.

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