Kaizen Platform,Inc. Q2 FY2025 earnings call

• Company Overview

  • Founded in the US in 2013, inverted to a Japanese company in 2017, with 133 total employees
  • Mission: "Improve the world through smooth workstyles", focused on one-stop DX solutions for tangled enterprise client challenges

• Market Position

  • Operates in the customer-facing DX market (covering sales, marketing, customer service), which currently accounts for only 11% of the total DX market, leaving large room for future growth
  • Key market dynamics: Labor shortages are widening, and generative AI adoption remains very low across Japanese enterprises, even as 20% productivity improvement is needed across the economy
  • Existing legacy system constraints are the primary bottleneck for generative AI adoption and customer experience improvement, as modifying core backend systems costs hundreds of millions of yen for most large enterprises

• Core Competitive Advantages

  • 1. Deep accumulated experience and data from years of customer experience improvement projects; 2. Fast implementation without modifying core legacy systems, cutting time and cost; 3. Flexible, timely talent assignment for efficient project delivery
  • Client benefits: Avoids expensive legacy system overhauls, enables business-unit led fast DX deployment, and drastically cuts lead time and project costs

• Business Model

  • Two-segment structure: High-margin cloud services, paired with professional services to deliver end-to-end solutions; leverages a 15,000+ external talent network for variable cost structure, with Kaizen Platform retaining core project management
  • Group structure: Kaizen Platform handles consulting, marketing, and development BPO; DZERO handles creative services; Haiwel handles SES business, enabling end-to-end delivery from upstream consulting to downstream execution

• Recent Operational Updates

  • Released two new generative AI-powered agents integrated into the cloud segment: Kaizen Conversion Agent (automates form data entry from business cards, ID documents, and official paperwork) and Kaizen Personalize Agent (stores user profile data across web and LINE, delivers automated personalized outreach and update notifications)
  • Both new AI agents are offered with pay-for-performance and usage-based pricing structures; Kaizen Conversion Agent has already secured pending adoption deals with human resources and property & casualty insurance firms

Overall Domestic Business: Cumulative revenue through the first half (2nd quarter) was 2.146 billion yen, a 6% decrease year-over-year (YoY). Average Revenue Per User (ARPU) increased 19% YoY, while total transaction accounts decreased 21% YoY. Gross profit margin improved 3 percentage points to 32%.

Cloud Segment: Revenue increased 35% YoY, ARPU increased 32% YoY, and transaction accounts increased 2% YoY. Gross profit margin increased 48 percentage points to 65%, making it a high-margin segment that drove overall gross profit and margin improvements for the company.

Professional Services Segment: Revenue decreased 9% YoY, ARPU increased 13% YoY, and transaction accounts decreased 20% YoY. The decline in accounts was driven by a strategic shift to focus on larger clients. Gross profit margin decreased 2 percentage points YoY.

• Full-year 2025 fiscal year performance is currently tracking in line with management's original expectations, with on-track progress toward full-year targets
• Management expects the new generative AI offerings to drive sustained ARPU growth across the client base and expand the company's addressable DX market
• The company is targeting to halt the decline in professional services transaction accounts and return to account growth from the 2nd quarter onward
• The core strategic priority is expanding the share of high-margin cloud segment revenue, which will lift overall company profitability over time
• Management plans to restart growth in the professional services segment via adoption of the new performance-based pricing models tied to the new AI solutions

• Generative AI adoption faces persistent barriers from legacy system constraints at client companies, which can slow adoption of the company's new AI offerings
• The company's strategic shift to focus on larger enterprise clients has driven a temporary decline in transaction accounts across the professional services segment, with uncertain timing of return to growth
• Partner count at group subsidiary Haiwel has declined recently, creating near-term pressure on the professional services delivery supply chain; management notes ongoing work to expand the partner network
• Low overall generative AI adoption across Japanese enterprises creates a slower addressable market growth trajectory than high-adoption scenarios

The full Q&A document is hosted externally at the link provided in the call transcript; no Q&A content is included in the available summary material.