LayerX closed a $100 million Series B round in September 2025, led by TCV. The Series B round included participation from MUFG Bank, Mitsubishi UFJ Innovation Partners, JAFCO Group, Keyrock Capital, Coreline Venture, and JP Investment.

This follows the company's Series A round in November 2023, which brought total funding to approximately $132 million at that time. LayerX has raised a total of $192 million across all funding rounds.

LayerX's Bakuraku Suite is an AI-native back-office automation platform accessible via browsers and mobile apps, designed to replace paper-based workflows in Japanese enterprises.

A typical user workflow begins when an employee incurs a business expense and uploads a receipt photo through the Bakuraku mobile app. AI-powered optical character recognition processes the image in under one second, extracting relevant fields and automatically categorizing charges as either corporate card transactions or out-of-pocket expenses. Policy and e-ledger compliance checks operate in the background, and journal entries can be posted directly to the customer's ERP system with a single click.

The platform includes multiple integrated modules. Bakuraku Expense manages expense reporting with features such as real-time mobile notifications, support for 35 currencies, and compliance controls that prevent uploads violating Japan's Electronic Books Preservation Act.

Bakuraku Invoice automates inbound invoice processing via email, drag-and-drop uploads, or scanner feeds. AI agents handle over 90% of historically manual invoices by learning account and department mappings.

Bakuraku Business Card provides virtual cards instantly and physical VISA cards within five days. Features include real-time spend limits, merchant category blocking, and unlimited sub-cards offering 1.0-1.5% cash-back rewards. The platform integrates directly with major Japanese ERP systems such as Money Forward, Freee, and SAP S/4HANA, removing the need for manual CSV file transfers.

In addition to back-office automation, LayerX offers Ai Workforce, a solution built on Microsoft Azure OpenAI, which generates AI agents to streamline document-intensive workflows in legal, procurement, and finance operations.

LayerX operates a B2B SaaS model with tiered subscription pricing based on feature access and usage volume. The company generates revenue primarily through monthly and annual subscriptions for its Bakuraku Suite, with pricing scaled according to company size and feature requirements.

For Bakuraku Business Card, companies spending over ¥300,000 monthly receive the full feature bundle at no additional cost, while smaller companies pay ¥13,000 monthly for expanded capabilities. The corporate card also generates revenue through interchange fees, offering 1.0-1.5% cash-back to customers while retaining a portion of the interchange income.

The business model leverages strong unit economics, with AI automation reducing manual processing costs. As customers digitize more workflows, they often expand usage across multiple Bakuraku modules, creating upsell opportunities in areas such as expense management, invoice processing, corporate cards, and AI workforce solutions.

LayerX's go-to-market strategy includes partnerships with major financial institutions like MUFG and Mitsui & Co., which serve as customer acquisition channels and provide validation for enterprise sales. The company increased its headcount from 220 employees in October 2023 to 430 by July 2025, reflecting investment in sales and customer success capabilities.

Revenue retention rates are high, consistent with back-office software that becomes embedded in operations. Switching costs rise as companies integrate Bakuraku with ERP systems and train employees on AI-native workflows.

SAP Concur holds a dominant position in the global expense management market, supported by extensive enterprise adoption and the integration of Joule generative AI across travel and expense functions.

The platform's global Peppol certification and partnership with American Express create competitive barriers, particularly appealing to Japanese multinationals seeking to standardize systems across regions.

Oracle NetSuite and Coupa offer comprehensive business spend management solutions with robust procurement and accounts payable capabilities. However, both have been slower to address Japan's specific e-invoice requirements and local compliance standards.

Money Forward Cloud Keihi serves over 400,000 business subscribers and introduced an AI Agent roadmap in 2025 to deploy autonomous digital workers across finance functions. The platform leverages extensive bank and card data networks alongside a strategic alliance with SMBC, positioning it as a direct competitor to LayerX's integrated approach.

Freee, with 624,000 paying customers, launched six AI agents in 2025, including tools for automated expense reimbursement and AI-driven chat invoicing. The company focuses on SMB and mid-market segments, bundling payroll and HR capabilities to create a broader small business operating system.

Rakuraku Seisan, developed by Rakus, leads the expense SaaS market and introduced features in 2025 such as receipt preview, auto-linking to card statements, and bulk upload functionality. However, its rules-based approach contrasts with LayerX's use of large language models.

Ramp, serving 40,000 customers, launched AI Agents for Controllers in 2025 to autonomously approve expenses, detect fraud, and rewrite policies. Supported by a $500 million Series E-2 funding round at a $22.5 billion valuation, Ramp sets a global benchmark for AI-driven spend management.

Brex focuses on integrated finance management, combining expense and vendor handling with an emphasis on user experience and technological efficiency. Both Ramp and Brex have established strong positions in AI automation, presenting a competitive challenge for LayerX in securing multinational accounts.

LayerX soft-launched Bakuraku attendance and time-tracking in November 2024, with a full release scheduled for January 2025. This marks a shift from finance into the larger human resource management (HRM) stack. Once time data is captured in Bakuraku, the platform can algorithmically link time-worked to expenses and payroll, creating opportunities to expand into payroll calculation, shift scheduling, and hiring modules.

Japan's April 2024 overtime-cap law and digital work-style-reform subsidies are driving increased software spending in HR categories. The attendance product provides a pathway for LayerX to expand into the broader HRM market beyond its existing focus on back-office finance automation.

Ai Workforce extends LayerX's capabilities into document-heavy workflows through verticalized AI agents designed for tasks such as legal contract review, procurement RFP summarization, and compliance monitoring. This broadens LayerX's addressable market from forms processing to knowledge work automation across multiple departments.

LayerX is expanding its customer base from small and medium-sized businesses (SMBs) and mid-market clients to larger enterprises, with customer count increasing by 50%, from 10,000 to 15,000 companies, in just over a year. Early adoption by large banks such as MUFG and asset managers like Mitsui & Co. Digital Asset Management indicates the platform's ability to meet stringent security and compliance requirements.

This enterprise validation creates opportunities to serve insurers, telecommunications companies, and public agencies with similar compliance needs. Regulated industries typically offer higher contract values and longer-term commitments compared to LayerX's historical customer base.

The 2024 Invoice System, which mandates digitized qualified invoices, is creating regulatory momentum. LayerX is one of the few vendors offering compliant e-ledger storage and invoice validation solutions required by large enterprises.

Japan's back-office software market is valued at $17 billion, but Southeast Asia presents additional opportunities due to similar paper-heavy finance processes and upcoming e-invoice mandates, such as Indonesia's 2027 requirement. LayerX's expertise in Asian character recognition and multi-language large language models provides a technical edge for regional expansion.

The company's experience navigating complex regulatory frameworks, such as Japan's Electronic Books Preservation Act, positions it to address digital transformation mandates in other Asian markets. LayerX has publicly announced plans to expand internationally, leveraging its AI-native architecture to support this growth.

Competitive pressure: LayerX faces increasing competition from well-funded global players such as Ramp and Brex, which are expanding into Asia, while domestic competitors Money Forward and Freee are deploying AI capabilities at a rapid pace. The company's ability to maintain its competitive position relies on sustaining technological advantages in AI automation, a position that could weaken as larger competitors allocate billions of dollars to similar technologies.

Regulatory dependence: LayerX's growth has been heavily influenced by Japan's 2023 e-invoicing implementation and compliance with the Electronic Books Preservation Act, creating regulatory-driven market opportunities that may not be replicable in other regions. A reduction in regulatory enforcement or competitors achieving comparable compliance capabilities could diminish a key factor driving customer adoption.

AI cost structure: LayerX's AI-native model depends on large language models and cloud infrastructure, which introduce variable costs that scale with usage. This cost structure could pressure gross margins, particularly if competitors with lower-cost models undercut pricing. Unlike traditional software companies with gross margins exceeding 80%, LayerX's reliance on AI-heavy architecture may constrain profitability as the market matures.