FileAI, a Singapore-based enterprise artificial intelligence (AI) startup, has on Monday announced it has raised $14 million Series A funding.

This round, led by returning enterprise solution investors Illuminate Financial, Antler Elevate, Insignia, Heinemann Group and others, brings the company’s total funds raised to just over $20 million, fileAI said in a statement.

According to the statement, the funding will accelerate fileAI’s mission to enhance its proprietary A capabilities as it emerges as the solution for enterprises to shelf-off millions of dollars of their back-office expenses, while unlocking new efficiency through the power of AI.

With strong traction globally in the financial services and insurance (BFSI), accounting and manufacturing sectors, the funds will support product development to deepen their
expertise in AI file management.

“This funding milestone marks a significant step forward in our journey to redefine enterprise automation with AI,” said Christian Schneider, Chief Executive Officer and Co-founder of fileAI.

“We’re empowering businesses to transform from within by delivering AI applications that slash operating expenses by up to 90 percent while boosting the topline by unlocking
hidden value in unstructured data,

“This investment will fuel our research and development (R&D) and enable us to deliver even greater value to our clients as we unlock unparalleled efficiency with AI,” he added.

Luca Zorzino, Partner and Head of Asia at Illuminate Financial, said that fileAI represents the cutting edge of enterprise AI, addressing one of the most persistent challenges businesses face—unstructured data management and scalable AI applications,.

“Our continued investment reflects our confidence in fileAI’s ability to redefine back-office processes, delivering measurable value for enterprises across critical sectors like banking, financial services and insurance (BFSI) and logistics,

“We are excited to support their expansion and innovation as they scale their impact globally,” he added.

FileAI is the a platform for automating unstructured data processing at scale leveraging advanced AI to simplify data extraction, organization, and enrichment across all file types and documents.

The firm has customers across diverse regions including Singapore, Australia, Thailand, Hong Kong, Japan and the United States.

The platform is used by global enterprises like MS&AD, MSIG, DirectAsia Toshiba, KFC, Pizza Hut, and Ernst & Young.

With support for200+ languages, fileAI processes over 200 million files annually.

Cited research, the statement highlighted that over 80 percent to 90 percent of global content is unstructured, challenging businesses to manage vast amounts of data in various formats, including portable document format (PDFs), spreadsheets, emails, and other unstructured formats.

Further complexity arises from the need to process data across multiple languages, structures, and data sources — both digital and physical.

FileAI tackles these issues with a proprietary blend of predictive an generative AI, large language models (LLMs), and agentic workflows, enabling seamless file processing and workflow integration.

In 2024 alone, fileAI has processed and automated over 200 million pages and fil saving its clients an estimated 420,000 hours and more than $7 million in costs.

Its solutions span industries such as, financial services, insurance, accounting, and manufacturing.

After three years of intensive research and development, fileAI unveiled its new platform in the first quarter.

Tailored for the compliance, procurement, legal, and finance sectors, this innovative solution leverages proprietary file processing models to automate workflow for long-form documents, offering unparalleled capabilities in document comparison, discrepancy detection, data validation, and compliance assurance.

The fileAI platform revolutionizes unstructured data management by enabling businesses to process and understand large document volumes with precision and ease, significantly reducing costs associated with manual file handling while unlocking value in company data through AI-driven autonomous navigation of file data in accordance with internal an regulatory standards.

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