Lazuli
Lazuliは、AI を用いてメーカー・小売・卸の商品データを自動で取り込み・構造化し、EC・PIM・AIエージェントへ配信する SaaS「Lazuli PDP」を日本のエンタープライズ向けに提供する、2020年創業の東京拠点の B2B スタートアップ。
- Company typePrivate
- Founded2020
- HeadquartersTokyo, Japan
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Lazuli does
Lazuli株式会社 (Lazuli Inc.) is a Tokyo-based B2B SaaS company founded in 2020 by Seigen Hagiwara that builds Lazuli PDP (Product Data Platform), an AI-powered platform that ingests heterogeneous product information in any format — Excel, CSV, PDF, or image — and converts it into a trusted single product master, which is then automatically distributed to e-commerce channels, PIM systems, and AI agents. Underlying technology combines NLP, image recognition, and machine learning for schema inference, normalization of inconsistent units and character variants, automatic category classification, business-rule validation, and LLM-based generation of EC-optimized product copy and SEO/AEO tags; the platform exposes a Python SDK, REST API, and CLI for enterprise integration.
The company monetizes through two layers: a recurring SaaS subscription to Lazuli PDP with a structured 1-week scoping plus 2–4 week PoC engagement, and a higher-touch "Total Service" overlay that bundles consulting, custom development, schema design, and monthly operational retainer support. It targets enterprise manufacturers, retailers, wholesalers, and EC/marketplace operators in Japan, and complements the platform with the 外食AIリサーチ (Food Service AI Research) service covering 1,500+ restaurant POS records and the proprietary "AI-Ready 5-Step Framework" for Agentic Commerce. Go-to-market is direct enterprise sales, supplemented by webinars, Executive Salon events, industry conferences (NRF, Shoptalk, Google Cloud Next, CES), and a growing ecosystem of co-marketing partners including Mirakl, Classmethod, NAVITIME Japan, Supership, TOPPAN, and AWL. Notable customers include Asahi Beverage, Asahi Beer, Baycia/Beisia, Mega Sports, Cainz, and Waseda University, with documented outcomes such as Asahi Beverage eliminating 468 annual hours of master registration and Baycia achieving 12x EC sales and 120x SKU growth.
Lazuli firmographics
Firmographics- Name
- Lazuli
- Legal name
- Lazuli株式会社
- Website
- https://lazuli.ninja
- Company type
- Private
- Founded year
- 2020
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Lazuliは、AI を用いてメーカー・小売・卸の商品データを自動で取り込み・構造化し、EC・PIM・AIエージェントへ配信する SaaS「Lazuli PDP」を日本のエンタープライズ向けに提供する、2020年創業の東京拠点の B2B スタートアップ。
- Ownership category
- akta.pro rank
Lazuli industry classification
Industry- Product category
- Product Data Management Software
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182), Custom Computer Programming Services (541511), Computer Systems Design and Related Services (54151)
- SIC
- Services-Computer Processing & Data Preparation (7374), Services-Prepackaged Software (7372), Services-Computer Programming Services (7371)
- akta.pro primary industry
- MDM Platforms (Customer/Product/Supplier/Location) (HDAEADAA)
- akta.pro secondary industries
- Robotic Process Automation (RPA) Platforms (HDAEAHAB), ERP/CRM/HRIS Implementation & Integration (BPAEAAAE)
Keywords
Where Lazuli is headquartered
LocationHeadquarters
- HQ city
- Tokyo
- HQ country
- Japan
- HQ region
- Asia
Offices1 record
Markets served
Lazuli business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Operations, Infrastructure
Revenue model
- SaaS Platform Subscription: Lazuli PDP is offered as a cloud-based SaaS platform with subscription pricing. The platform is available for standard subscription with monthly or annual billing. Implementation timeline for standard PoC is 1 week scoping + 2-4 week execution.
- Professional Services (Total Service): Comprehensive service layer above the core product encompassing consulting, custom development, and monthly operational support. Includes data preparation, data integration, schema design, PDP customization, and ongoing monthly engagement. Priced as project initial fee plus monthly retainer.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Multi-year contract | Standard PoC Package |
| Subscription | Multi-year contract | Total Service (Professional Services) |
Go-to-market motion3 records
Distribution channels1 record
Marketing channels6 records
Lazuli product offering
Product offeringCore offering
Lazuli PDP is an enterprise AI-powered Product Data Platform that ingests heterogeneous product data in any format (Excel, CSV, PDF, images, HTML) and automatically transforms it into a trusted single product master, which is then auto-distributed to EC channels, PIM systems, and AI agents. The platform automates extraction, schema inference, normalization, category classification, validation, and content generation. Lazuli complements the platform with a Total Service professional services layer for consulting, custom development, and ongoing operations, and operates a proprietary Food Service AI Research data service covering POS data from 1,500+ restaurants.
Product overview
Lazuli's product portfolio consists of Lazuli PDP as the core Product Data Platform, with the Data Structuring module handling AI-powered extraction and normalization from unstructured sources. The Total Service professional services layer provides strategy, implementation, and ongoing operational accompaniment. The Food Service AI Research module offers a specialized weekly POS data service covering over 1,500 restaurant locations. The AI-Ready 5 Step Framework is an proprietary methodology embedded across the platform for preparing product data for AI agent commerce (Agentic Commerce). The portfolio follows a platform-plus-modules architecture, where Lazuli PDP serves as the central hub and the modules/framework extend its capabilities for specific use cases.
Differentiator
Problem solved
Functional benefit
Products and services
- Lazuli PDP (Product Data Platform) Lazuli PDP is an enterprise SaaS Product Data Platform that ingests heterogeneous product data in any format (Excel, CSV, PDF, images, HTML) and converts it into a unified single product master. The platform uses AI to automate schema inference, normalization, category auto-classification, validation/quality gating, and content generation, then auto-distributes formatted product data to EC channels, PIM systems, and AI agents. Targeted at manufacturers, retailers, wholesalers, and e-commerce operators in Japan. Shortest PoC launch is 2 weeks.
- Total Service Total Service is a professional services offering built on Lazuli PDP, providing product data consulting, data preparation, schema design, PDP customization, and ongoing operational support, including monthly improvement accompaniment and team knowledge transfer. Includes dedicated consultant, AI engineer, and PM team. Targeted at enterprises with complex, business-specific requirements or legacy assets who need strategy-to-operations support.
- Food Service AI Research (外食AIリサーチ) Food Service AI Research is a weekly data service providing normalized, AI-structured POS data from more than 1,500 food-service establishments. It enables analysis of drink and food sales, customer counts, and spending trends across the food service market. AI harmonizes heterogeneous POS formats into an analytics-ready dataset. Used by Asahi Beer for sales support and by Waseda University for consumer price index research published in the international academic journal 'Review of Income and Wealth'.
Quantifiable outcome
- Asahi Beverage Company reduced annual product master registration work from 468 hours to 0 hours (100% automation)
- +6 more outcomes
Companies that use Lazuli
Customer profileNamed customers6 records
Segments4 records
Ideal customer profiles4 records
Lazuli technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability10 records
Feature10 records
Lazuli partnerships and signals
Strategic signalPartnerships
Eight partnerships are on record, tiered flagship, core and minor.
- TOPPAN, Treasure AI, シンカー, AWLflagshipFive-company business partnership for promoting 'Real Transformation (RX)'. TOPPAN, Treasure AI, Shinka, and AWL formed a business partnership with Lazuli to jointly advance digital transformation in the retail and distribution industry through combined product data, AI, and platform capabilities.
- 伴 大二郎 (Ban Daijiro) - Chief EvangelistcoreAppointed as Chief Evangelist in January 2026. Brings extensive retail and customer experience expertise from prior roles at Opt, Yappli, and db-lab. Represents Lazuli at international conferences (Shoptalk, Google Cloud Next, NRF) and leads strategic consulting engagements.
- 公益財団法人 流通経済研究所 (Distribution Economics Institute of Japan)coreJoint research on consumer understanding through product tag (口碑タグ) data. Combined Lazuli's AI-generated product tags with the institute's retail economics research methodology. Research produced academic insights on consumer behavior analysis using product DNA data.
- SupershipminorJoint webinar on maximizing customer experience value on EC sites. Supership provides S4 series (site search, product ads, recommendation features); Lazuli provides product data platform. Combined solution optimizes EC site search and recommendation quality through improved product data.
- MiraklcoreCo-hosted webinar in November 2024 on marketplace product data strategy. Mirakl supports marketplace operators globally and partnered with Lazuli for joint thought leadership and go-to-market activities in the Japanese marketplace segment.
- ナビタイムジャパン (NAVITIME Japan)coreJoint webinar on unified product and store data management for customer experience optimization across all channels. NAVITIME Japan provides Location Cloud for store data management; Lazuli provides product data platform. Combined solution enables online/offline customer experience integration.
- 株式会社デコム (Decom)minorCo-hosted webinar on CX improvement through research and data utilization. Decom provides insight research capabilities; Lazuli provides product data platform. Joint session explored combining research insights with product data for improved customer understanding.
- クラスメソッド (Classmethod)coreCo-hosted seminar on generative AI utilization strategy for retail and manufacturing industries. Classmethod provides cloud and data analytics expertise; Lazuli contributes product data platform capabilities. Joint events held multiple times throughout 2024-2026.
Scale indicators10 records
Recent moves6 records
Expansion highlights6 records
Lazuli competitors and assessment
Company assessmentDirect peers
- Akeneo: Global leader in Product Information Management (PIM) with AI-powered product data capabilities. Directly comparable to Lazuli PDP as both serve enterprise manufacturers and retailers managing product master data, though Akeneo focuses on outbound PIM versus Lazuli's inbound/integration layer positioning.
- inRiver: Enterprise PIM platform specializing in product information management for manufacturers, retailers, and distributors. Comparable in target customer base (manufacturers and retailers managing product data) and similar SaaS delivery model.
- Stibo Systems: Enterprise PIM and Master Data Management (MDM) provider with deep enterprise customer base. Comparable in addressing product master data challenges for large organizations with multi-source, multi-format product information.
- Pimcore: Open-source PIM, MDM, and digital experience platform serving enterprise customers. Comparable in product master data management functionality and target customer base of manufacturers and retailers.
- Tamr: AI-native Master Data Management platform that uses machine learning for data mastering, entity resolution, and schema mapping. Directly comparable in AI-first approach to enterprise product/reference data integration.
- Catsy: PIM platform focused on e-commerce product information management. Comparable in target use case (e-commerce channel readiness for product data) and SMB-to-mid-market positioning, though primarily US-focused.
Broad incumbents
- Reltio: Cloud-native Master Data Management platform with AI-powered data unification. Comparable in addressing master data fragmentation and enrichment for enterprise customers, though broader in scope beyond product data.
- Ataccama: Data quality and master data management platform with AI-powered data cataloging and governance. Comparable in addressing enterprise data quality and unification challenges across product and customer data domains.
- Salesforce Commerce Cloud: Major enterprise commerce platform with built-in product data management and PIM-adjacent capabilities. Comparable as a competing destination for product master data investment, though broader in scope than Lazuli PDP.
Emerging players
- Scale AI: AI data infrastructure platform specializing in data labeling and AI training data preparation. Comparable in AI-powered data structuring capabilities and enterprise customer base, though focused on training data rather than product master data.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
Lazuli social profiles
Digital presenceLazuli compliance and trust
Trust signalCompliance1 record
Lazuli financial estimates
Financial estimateRevenue estimate
Valuation estimate
Lazuli leadership team
Management profileNumber of profiles
Profiles10 records
Lazuli funding detail
Funding detailFunding overview
Funding rounds3 records
Investors5 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Lazuli M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Lazuli
What does Lazuli do?
Lazuli PDP is an enterprise AI-powered Product Data Platform that ingests heterogeneous product data in any format (Excel, CSV, PDF, images, HTML) and automatically transforms it into a trusted single product master, which is then auto-distributed to EC channels, PIM systems, and AI agents. The platform automates extraction, schema inference, normalization, category classification, validation, and content generation. Lazuli complements the platform with a Total Service professional services layer for consulting, custom development, and ongoing operations, and operates a proprietary Food Service AI Research data service covering POS data from 1,500+ restaurants.
Is Lazuli a public or private company?
Lazuli is a private company. It is classified as venture growth investor backed and is currently operating.
When was Lazuli founded?
Lazuli was founded in 2020. It employs 11 to 50 people.
Where is Lazuli based?
Lazuli is headquartered in Tokyo, Japan, in the Asia region.
How does Lazuli make money?
Two revenue lines are on record. SaaS Platform Subscription is the primary driver. The others are professional Services (Total Service).
Who are Lazuli's main competitors?
Direct peers on record are Akeneo, inRiver, Stibo Systems, Pimcore, Tamr and Catsy. Broad incumbents are Reltio, Ataccama and Salesforce Commerce Cloud. Scale AI is listed as an emerging player.
Does Lazuli have an API?
Yes. Lazuli PDP offers a Python SDK and REST API / CLI for programmable batch processing and manual operations. The API enables integration with EC platforms, PIM systems, and AI recommendation engines. Available to enterprise customers as part of the platform offering.
What industry is Lazuli in?
Lazuli's product category is Product Data Management Software. Its primary akta.pro industry code is HDAEADAA, MDM Platforms (Customer/Product/Supplier/Location), with a secondary code of HDAEAHAB, Robotic Process Automation (RPA) Platforms. Its NAICS code is 5182 and its SIC code is 7374.