Skip to content / 本文へ
Join us

Fueled by data. Made for new experiences.

BUILD THE NEXT CYCLE.

Fueled by data. Made for new experiences.

01 / WHAT WE DO

Three businesses, shaped around what each client needs

KAGUYA is an
AI integration company.

SELECTED CLIENTS

Clients across KAGUYA’s development and AI implementation services and our own products.

電通カカクコムネオキャリアJTHRdocヒトクセomochiiiBONSAI

Data and experience.
Each makes the other better.

Preparing data expands what AI can do for workflows and services. Insights from real-world use help improve both data and systems.

At KAGUYA, we work across the data and experience layers, continually improving the value we create for companies and their users.

From data to useful experiences
DATAData foundation
EXPERIENCEWorkflows & services
Insights feed the next improvement
Put data to work. Learn from use. Improve the foundation.
01 — DATA LAYER

Your business data,
ready for AI.

KAGUYAData Cloud

We connect the information across your business and give AI a clear, reliable data foundation.

Explore our data foundation

KAGUYA Data Cloud is our in-house data platform. Our data specialists use it to organize each company’s data and existing systems, building foundations that make both information and its business meaning usable by AI.

  • Modernize existing systemsResolve technical debt and improve data integration and operations.
  • Connect different data typesWork with structured databases and unstructured documents and images.
  • Make business meaning accessibleDesign a semantic layer of metrics, terms, and relationships to connect data with AI.
02 — EXPERIENCE LAYER

Put AI
to work in the real world.

WorkflowsSystemsConversations

We turn that data into systems that help people in their daily work and the services they use.

Explore how we build with AI

Delegate parts of a workflow to AI. Add intelligence to existing systems. Create new services. We design and build systems, applications, and conversational interfaces around the work and the people who use them.

  • Put AI into workflowsDesign workflows where AI handles documents and information alongside human review and judgment.
  • Build systems around AITurn AI predictions into working systems.
  • Create new connections through conversationBuild services that understand intent through chat, voice, and images to support advice and product discovery.

02 / PRODUCTS

01 / UNDERSTANDING PEOPLEPersona Voice persona detail screenDATA INTO INSIGHT ↗
AI × CUSTOMER UNDERSTANDING

Persona Voice

Know who you’re creating for.

Turn market and customer information into tangible personas. Build a deeper understanding of people to shape marketing and recruitment communications.

MARKETINGHRAI PERSONA
02 / STARTING CONVERSATIONSV-Talk video and chat product screenINFORMATION INTO CONVERSATION ↗
VIDEO × CONVERSATIONAL AI

V-Talk

Curiosity becomes conversation.

Show through video. Respond through chat. Turn company and school information into conversations people can explore at their own pace.

VIDEOCONVERSATIONHR / SCHOOL

03 / SOLUTION

From deciding where to use AI to adopting products and building systems, our three businesses turn your needs into tangible outcomes.

01 / CONSULTING

AI and data consulting

Where should we use AI? How should we prepare our data? We work through the questions specific to your business and carry out the work—from strategy to validation and implementation.

  • First, we just want to
    try an AI product

    (e.g. how accurate chat answers are)
    Insurance company E
  • We have no AI engineers,
    but work we want to automate

    Staffing company N
  • We pay a lot for our existing CRM database and want to
    rebuild our whole CRM platform

    Education company L
  • Our data is a mess and
    we do not know where to start

    Construction company L
  • We want to change part of a KAGUYA product
    and make it our own

    Real estate company M
  • We want to rebuild our ERP system
    from scratch, with AI at its core

    Childcare company P

From questions to working outcomes.We identify use cases, estimate ROI, prepare AI-ready data foundations, and validate and implement workflow automation.

02 / PRODUCTS & CUSTOMIZATION

Proprietary product sales and
custom product development

We sell our own products, including V-Talk and Persona Voice. We also combine KAGUYA AI Components to customize functionality for your workflows and existing systems.

Explore V-Talk and Persona Voice

AI chatbots & avatars

Combine video, voice, and conversational AI to answer questions in the moment.

Google Maps & other integrations

Connect maps, external services, and internal data for search and analysis.

Automated sales materials

Streamline data preparation, reports, and proposals for everyday work.

AI advertising communications

Use customer insights and personas to test advertising and messaging hypotheses.

Better matching & predictions

Build recommendations and demand forecasting with the data your business already collects.

Internal workflow systems

Organize information and support decisions in recruiting, knowledge management, and other internal workflows.

Explore the technology behind our custom products
TECHNOLOGY / BUILDING BLOCKS

Combine capabilities. Build useful systems.

Data foundations and the technology to bring AI into work and services, combined around your needs.

01 / 12

RAG Engine

Retrieval-augmented generation that returns accurate answers grounded in internal documents

A mechanism where the LLM searches internal documents and databases and generates answers grounded in their content. It suppresses hallucination and returns accurate answers based on your own knowledge.

  • Cross-search internal docs, FAQs, and manuals
  • Cite the sources behind each answer
  • Filter information by access permissions
  • Support PDF, Word, spreadsheets, and more
IN PRACTICE

Possibilities in combination.

Example configurations for different challenges.

01

Recruiting Support SaaS

Matches job postings with candidate data and auto-generates compelling scout messages, supporting everything through to chat with candidates.

Persona GenerationConversational AI / ChatVector Search InfrastructureMulti-tenant Platform
  • Automate from application to interview scheduling, cutting hiring effort
  • Deliver scout messages that resonate with each candidate
02

Knowledge Utilization SaaS

Cross-searches internal documents and answers automatically with citations, automating everything from inquiry handling to report generation.

RAG EngineVector Search InfrastructureAI AgentMulti-tenant Platform
  • Drastically reduce inquiry-handling effort
  • Instantly surface knowledge scattered across the company
03

Customer Analytics SaaS

Predictively analyzes customer data and generates AI personas, extracting multimodal insights including voice and images.

Machine Learning PipelinePersona GenerationVoice & Vision AIMulti-tenant Platform
  • Accelerate data-driven decision-making
  • Deepen customer understanding from multiple angles
04

Customer Support SaaS

Provides 24/7 automated responses grounded in FAQs and manuals; agents autonomously handle complex inquiries and hand off smoothly to human support.

Conversational AI / ChatRAG EngineAI AgentMulti-tenant Platform
  • Automate first response and standardize response quality
  • Enable 24/7/365 inquiry handling
05

Sales Enablement SaaS

Analyzes and summarizes sales-call audio and generates optimal proposals grounded in past cases, supporting everything from minutes to next-action suggestions.

Voice & Vision AIRAG EngineLLM OrchestrationMulti-tenant Platform
  • Improve quality and speed from proposal prep to follow-up
  • Automate minutes and next actions
06

Data Utilization SaaS

Automatically collects needed data from the web and APIs, then structures and analyzes it—usable as a foundation for predictive models and semantic search.

Data AcquisitionUnstructured Data ProcessingMachine Learning PipelineVector Search Infrastructure
  • Turn scattered data into practical assets
  • Build a data foundation that underpins prediction and search accuracy
03 / SYSTEM DEVELOPMENT

Contract system development
rebuilt from the data layer up

We redesign ERP, CRM, CMS, and other business systems from the data foundation up. We take responsibility for requirements, design, development, testing, and deployment, with future maintenance and improvement built in.

  1. Phase. 1

    Define requirements with AI in mind

    Map workflows and data flows, then design the data foundation. Define the information AI can use and the functions the system needs.

  2. Phase. 2

    Build the system from a working prototype

    Use AI to assemble working prototypes and review screens and workflows. Validate and refine them into a production-ready system.

  3. Phase. 3

    Deliver a foundation for ongoing maintenance

    Hand over specifications, development logs, and operating guides with system monitoring. Enable teams to ask AI about specifications and development decisions.

Explore our development scope and process
DEVELOPMENT / FIELD NOTES

Designed around challenges. Delivered into real work.

From modernizing business systems to new development, we design the data foundation, AI functions, interfaces, and workflows together and deliver the full implementation.

01

Operational Efficiency AI

Custom systems that automate and streamline routine internal tasks across back office, sales, and customer support. We implement RAG and operational agents that leverage internal knowledge to dramatically boost employee productivity.

  • Cross-knowledge RAG system
  • Auto-generation agent for sales decks & proposals
  • Meeting-minutes analysis pipeline (Whisper + LLM)
  • Data-analysis AI for management decisions
  • AI agent for customer support
02

AI Enhancement of Existing Services

Development that embeds AI into services already in operation to evolve the experience. From improving matching accuracy to introducing recommendation algorithms and enriching search, we partner with you to extend AI features that maximize your existing assets.

  • AI enhancement of matching algorithms
  • Semantic search using vector search
  • Building & tuning recommendation engines
  • Adding a natural-language interface
  • Adding an AI analysis layer to existing DBs
03

New Business Development Support

End-to-end support for launching AI-centered new businesses—from strategy to product development to post-launch operations. From the hypothesis-validation phase, KAGUYA's specialists join your business team.

  • PoC & MVP development for new AI products
  • Hypothesis validation (incl. user-interview design)
  • AI-assisted competitor & market research
  • Hands-on support through product launch
  • Multilingual design for global expansion
HOW WE DELIVER

Beyond the launch.

We handle requirements, development, testing, and deployment. We organize specifications and development logs so the delivered system can be operated and improved.

Discuss your project
  1. 01

    Hearing & Problem Definition

    Working back from the business question to solve, we identify—with a consulting mindset—the essence that AI should address.

  2. 02

    Hypothesis & Solution Design

    Drawing on our experience launching our own products, we design the optimal approach, weighing feasibility and cost-effectiveness.

  3. 03

    Rapid Implementation via AI-Driven Development

    With solid engineering capability, we build high-quality systems far faster than conventional approaches.

  4. 04

    Implementation & Integration into Your Environment

    We see implementation through—integrating into your existing systems and workflows.

  5. 05

    Operations Support & Continuous Improvement

    Leveraging our product-operation experience, we help it grow into something that keeps being used after delivery.

You can talk to us even before your requirements are fully defined.

Talk about your project

04 / ABOUT US

About the team
Kana Okada
Representative Director CEO

Kana Okada

Profile

Graduated from the University of Tokyo, Faculty of Letters, Department of Sociology. Joined Google as a new graduate and conducted marketing support for over 300 companies ranging from SMEs to large enterprises. After obtaining an MBA at INSEAD in France, engaged in strategy and marketing for new businesses at Amazon before assuming the position of Representative Director at KAGUYA.

Shotaro Kadoya
Tech Lead

Shotaro Kadoya

Profile

Ph.D. in Engineering from the Graduate School of Engineering, the University of Tokyo. After serving as a research assistant professor there, he began his career as an engineer. He leads the design and development of RAG systems for products such as “V-Talk.”

Ryo Kakurai
Creative Director

Ryo Kakurai

Profile

After an internship at Uber, he joined ByteDance Japan as a new graduate. Following work on TikTok's video content strategy and marketing for new features, he led marketing at the Japan office of a Singapore-based company.

Soichi Sumi
Technical Advisor

Soichi Sumi

Profile

Completed a master's in Computer Science at Osaka University. After product development at Recruit, he joined the fintech startup Ginco as a founding engineer, served as tech lead, and headed the platform division—achieving a 40% reduction in system costs (¥120M/year) and roughly 80% performance gains.

05 / NEWS

Latest updates
View all news
LET’S TALK BUSINESS

Have a project in mind?

Let’s start by thinking through your idea together.

Company information
Company
KAGUYA Inc.
CEO
Kana Okada
Address
LANTIQUE BY IOQ 211, 1-1-17 Nakameguro, Meguro-ku, Tokyo 153-0061, Japan