fileAI
AntlerPlug and Play VenturesSilicon Valley, US · Founded 2021 · 88 employees on LinkedIn · 10 known investors
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fileForensics provides document data extraction, validation, and workflow automation tools for processing files across industries. It serves insurance (claims, underwriting, compliance), banking and financial services (KYC, lending, core banking), accounting and finance (data capture, reconciliation, financial close), and healthcare and lab sciences, along with supply chain, BPO, and retail.
Also known as file.ai · fileAI · FileAI
Founders & leadership
fileAI was founded in 2021 by Christian Schneider and 🚀 Clare Leighton.
Investors · 10
How we know: 1982 Ventures's portfolio page · Not right? Tell us
How we know: GHARAGE Ventures's portfolio page · Not right? Tell us
How we know: research · technode.global · Not right? Tell us
How we know: open dataset · Top 3000 Accelerator Startups (no YC) 2026-08 · Not right? Tell us
How we know: funding news · the VCSheet dataset · research · technode.global · Not right? Tell us
How we know: open dataset · Top 3000 Accelerator Startups (no YC) 2026-08 · Not right? Tell us
How we know: funding news · press coverage · Not right? Tell us
How we know: funding news · press coverage · Not right? Tell us
Also in the syndicate · 2
Company profile
researched Sep 2026fileAI is an enterprise AI company that converts complex, unstructured business files into validated, structured and governed data that downstream systems, workflows and AI agents can act on. Its foundation platform, fileForge, covers a data preparation pipeline spanning capture, preparation, governance and orchestration: multimodal AI OCR and classification, zero-shot AI schemas for field extraction, a Scout capability that maps document and file types so teams can select relevant fields, model orchestration that balances quality, speed and cost, and a Forensics component that detects file tampering and anomalies at ingestion. A Resolve capability normalizes, enriches and reconciles records, while extraction, validation and transformation steps are logged with citations and timestamps, and reasoning models plus human-in-the-loop checklists support auditability.
On top of fileForge the company sells two purpose-built products: fileLedger for financial operations automation (capture, validation, GL tagging, multi-way matching, reconciliation and posting of transactions with evidence traced from source file to ERP) and fileShield for case automation in banking, financial services and insurance, which assembles evidence, applies policy and risk logic and routes cases to straight-through processing or human review. Solutions are positioned for insurance (claims, underwriting, compliance, policy administration), banking and financial services (KYC, lending, core banking), accounting and finance, healthcare and lab sciences, and other sectors including supply chain, BPO and brick-and-mortar retail. The platform supports 200+ languages, offers more than 100 ERP and system integrations, an advanced RAG stack and an MCP server, and is accessible through a no-code interface as well as APIs and SDKs.
Founding story
Co-founder and CEO Christian Schneider, a German economics graduate, left investment banking around 2013-2014 for a business intelligence role at a friend's e-commerce startup in Asia, then co-founded DishDash, a B2B office F&B procurement platform that ran four years and peaked at $10 million revenue before the food-tech downturn around 2018. At DishDash his team struggled to get data into shape for enterprise clients to sign off on monthly reconciliation, which became the spark for fileAI: an automated reconciliation tool for large businesses. Building an MVP with a small group of developers, Schneider concluded the accounting problem was really a data problem and broadened the scope into a data preparation platform. Roughly 18 months in, the arrival of generative AI allowed data to be understood, corrected and modified within the processing pipeline, lifting prediction accuracy from about 60% to well over 90%.
Business model
B2B enterprise software: fileAI licenses its fileForge platform and the fileLedger and fileShield solutions to enterprises, with published pricing, a self-serve public platform and demo booking alongside enterprise sales. The company positions its value on reducing back-office operating expense, with the CEO stating AI applications can cut operating expenses by up to 90 percent.
Software platform revenue from enterprise customers; the company reported more than $3 million in revenue, with a stated aim to triple it within months.
Traction
fileAI processes over 200 million files annually and states it works with 500+ leaders across global enterprises. In 2024 it processed and automated over 200 million pages and files, saving clients an estimated 420,000 hours and more than $7 million in costs. Revenue was reported at over $3 million, the team numbered about 70, and customers span Singapore, Australia, Thailand, Hong Kong, Japan and the United States.
Latest developments
In June 2026 fileAI partnered with JRE Ventures, the corporate venture capital arm supporting the JR East Group, establishing its presence in Japan, and in August 2026 it received an investment from SMBC Asia Rising Fund to support Japan expansion and product development. The current platform is organized around fileForge with the fileLedger and fileShield solutions, and the company operates a public self-serve platform, SDKs and an MCP server.
▸Full profile — market position, technology, go-to-market, geography, history
Market position
Positioned as an AI-native data preparation and execution layer for enterprise workflows, aiming to be default infrastructure for agentic AI in production rather than isolated pilots. Investors describe it as addressing unstructured data management and scalable AI applications for BFSI and logistics.
The company emphasizes governed, auditable output — full citations, timestamps, reasoning-model verification and human-in-the-loop controls — combined with a single execution layer that replaces tool sprawl, persistent context that compounds across runs, file tampering detection at ingestion, purpose-built vision-language models said to outperform generic LLMs on structure, handwriting and multilingual documents, and access for both business users (no-code UI) and developers (API, SDKs, MCP).
Technology
A proprietary blend of predictive and generative AI, large language models and agentic workflows. A custom vision-language stack is used for document parsing, positioned for structure, handwriting and multilingual accuracy, with zero-shot AI schemas for auto-classification, extraction and validation. The platform includes model orchestration, SOP-driven workflow and validation engines, file tampering and anomaly detection, record matching and reconciliation, retrieval with numbered citations, an MCP server and 100+ ERP and system integrations. Accuracy reportedly rose from about 60% to well over 90% after generative AI was incorporated into the processing pipeline.
Go-to-market
Enterprise direct sales supported by a self-serve public platform and waitlist, live demo playground, open-source SDK examples and an MCP repository on GitHub, developer documentation, community channels, whitepapers and events. The company also uses corporate venture and partnership channels, such as a partnership with JRE Ventures to establish its Japan presence.
Large enterprises and regulated industries, including banking, financial services and insurance, accounting and finance, manufacturing, healthcare and lab sciences, supply chain, BPO and retail. Named customers include MS&AD, MSIG, Toshiba, DirectAsia, KFC, Pizza Hut, Nippon and Ernst & Young.
Geography
Founded and headquartered in Singapore, with offices in New York (147 West 24th Street) and Singapore (Asia Square Tower 2), and expansion into Japan, Australia and the United States. Customers are located in Singapore, Australia, Thailand, Hong Kong, Japan and the US.
History
The company was founded in 2021 in Singapore. Antler backed the business as its first investor after Schneider completed the Antler residency program in Singapore and introduced an additional investor. After about three years of research and development, fileAI unveiled a new platform aimed at compliance, procurement, legal and finance use cases, with capabilities in document comparison, discrepancy detection, data validation and compliance assurance. In February 2025 it raised a $14 million Series A, bringing total funding to just over $20 million, and has since expanded from Singapore into Japan, Australia and the US.
Compiled by commissioned research from 9 cited public sources — announcements, filings, and press listed under research sources below.
Key figures
latest reportedCompany-reported or press-reported figures, each dated to when it was claimed — not independently audited.
Timeline · 5
launches, deals, and filingsFileAI received an investment boost from SMBC Asia Rising Fund to support its expansion in Japan and deepen its product capabilities.
FileAI partnered with JRE Ventures, the corporate venture capital arm supporting the JR East Group, which established the company's presence in Japan.
Singapore-based fileAI announced a $14 million Series A led by returning investors Illuminate Financial, Antler Elevate, Insignia and Heinemann Group, bringing total funds raised to just over $20 million; proceeds fund R&D and proprietary AI capabilities.
$14M source ↗
fileAI expanded from Singapore to establish offices in Japan, Australia and the United States.
After three years of research and development, fileAI unveiled a new platform using proprietary file processing models to automate long-form document workflows, including document comparison, discrepancy detection, data validation and compliance assurance.
Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.
▸Research sources · 9
primary sources listed
- fileAIfile.ai · web
9 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does fileAI do?
- Singapore-founded enterprise AI company turning unstructured files into validated, structured data for automated workflows.
- Who founded fileAI?
- fileAI was founded by Christian Schneider, 🚀 Clare Leighton in 2021.
- Who are fileAI's investors?
- fileAI's investors include 1982 Ventures, GHARAGE Ventures, Insignia Ventures Partners, Antler, Illuminate Financial, Plug and Play Ventures, SingTel Innov8 Pte Ltd., SMBC Asia Rising Fund.
- Where is fileAI headquartered?
- fileAI is headquartered in Silicon Valley, US.




