India Consumer Intelligence

Understanding India's consumers,
through data

AI engineering, meeting first-party consumer data.

Saiterace combines hands-on AI engineering with data collected directly from Indian consumers. Through our beauty diagnostics service, Maison Saika, we build a dataset that links face, skin, preferences and living environment — and turn it into something Japanese companies can use to make decisions in India.

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What We Do / 01

Three businesses,
and what they build

Three businesses, one platform.

AI engineering sharpens our technology. Beauty diagnostics gather the data. The data drives revenue. All three build on a single data platform.

01.
Applied AI Engineering
Putting AI to work
In partnership with an AI startup named one of the world's top 10, we develop AI and deploy it into the day-to-day work of Japanese companies. Not research — systems that run in the field.
What we doDevelopment / Deployment
02.
Beauty Tech
Beauty diagnostics engine
We build and run the skin and personal-colour diagnostics engine behind Maison Saika, our beauty service for India. The judgement of Japanese experts, carried by AI to Indian customers.
What we doDiagnostics engine / Service operation
03.
Marketing & Sales Tech
Selling with data
From diagnostic data, we decide who to reach, with what, and at what price. Acquisition and sales built on real customer data, not instinct.
What we doCustomer analytics / Go-to-market design
Consumer Intelligence Platform
A consumer data platform for India
Market Entry Intelligence
Data-led market entry for Japanese companies
Consumer Intelligence / 02

Demand data on 1.4 billion people,
at a granularity no one else holds

Granularity no one else has.

India has purchase data. What it does not have is data that links face and skin condition, preferences and the environment of the city people live in. Maison Saika is our direct point of contact with Indian consumers, and every diagnosis updates a demand heatmap by region, age and income band.

What We Collect
The data we build
  • Face images with skin and personal-colour diagnoses
  • Concerns and preferences by city, age and income band
  • City environment (water, UV, air pollution) and how it relates to concerns
  • Response to recommended products, and post-use feedback
  • Seasonal shifts in concerns and purchasing
Market Entry Intelligence
For decisions by Japanese companies
  • Market fit before entry, by city and income band
  • Evidence for product range and pricing
  • Which cities to enter first
  • Product development and formulation for India
  • From beauty to other premium categories — food, sake, pet care

External access will open in stages as the dataset grows.

Partners / 03

Partnerships

Alliances in technology and strategy.

AI Partner
Partnered with one of
the world's top 10 AI startups
We work with an AI startup that GEN, one of the world's largest entrepreneur-support networks, selected as one of its global top 10 from hundreds of thousands of companies. Our role in the partnership: taking world-class AI and making it run in the field at Japanese companies.
AreaApplied AI Engineering
Strategy Partner
Working with one of Japan's
leading strategy consulting firms
Together with one of Japan's leading strategy consulting firms, we are shaping new businesses for the Indian market — starting from the data Maison Saika gathers, and building a way to support Japanese companies entering India.
AreaMarket Entry Intelligence
Why India / 04

Why India

The largest market still being shaped.

1.4 billion people. 490 million in the middle and affluent classes, on track for 880 million by 2030. But treat it as one market and you will miss. Delhi and Chennai differ in water, climate and income mix. That is exactly why data gathered directly from local consumers is valuable.

490M
Middle and affluent classes
35% of the population. Projected to reach 880 million (58%) by 2030.
11.7%
Annual growth of the affluent
Households above Rs 3 million a year. From 56 million to 169 million by 2030.

Income-band figures from PRICE (ICE 360° Survey, 200,000 households, 2020-21 prices).

Why Saiterace / 05

Why Saiterace

We have done this before.

i.
Running an overseas subsidiary
for one of Japan's largest manufacturers

Twenty-four years in sales and business development, ten of them in emerging markets. In India, Representative Director and Senior Vice President of Denso's local subsidiary, with sales, marketing and new business under him. Negotiations with conglomerate-group manufacturers, pitches to ministers in both governments, sourcing local startups. In each country, we know how a deal actually gets decided.

ii.
Data straight from
Indian consumers

We do not buy third-party research. We collect data directly from Indian consumers through our own diagnostics service. Data that links face, skin, preferences and living environment is not something others can copy later.

iii.
Building a business
in India from zero

At Denso's Indian subsidiary, our founder led the launch of the SaaS business "Solwer" as its owner. Five applications taken to commercial release and subscription billing, and in 2025 the business was selected for METI's Global South Future-Oriented Co-Creation Program. From launch to revenue, end to end.

Offices / Japan × India

One operation across two countries

Building one operation across two countries.

Development spans both countries. Japan holds product management and decision rights. India runs local operations.

[ HQ · JP ] ACTIVE
Japan headquarters
NAGOYA, AICHI
RoleData Processor
FunctionsProduct management / Decision rights / Contracts in Japan

Product design and decision-making sit here, along with contracting with Japanese companies and the execution of market-entry and sales engagements.

[ SUB · IN ] ESTABLISHING
India subsidiary
INDIA
RoleData Controller
FunctionsLocal operations / Data collection / Customer contact

Local operation of Maison Saika, and collection and use of Indian consumer data.

Founder / 06

Founder

Twenty-four years, ten of them overseas.

Shinya Watanabe

Shinya Watanabe

Founder & CEO, Representative Director
Career
2002
Joined Keyence Corporation. Major automotive accounts.
2006
Joined Denso Corporation. Head office OEM sales — CASE product growth and business strategy for major automotive OEMs.
2013
Seconded to Denso do Brasil Ltda. Head of sales to Japanese OEMs.
2017
Denso Corporation, head office OEM sales.
2020
Denso International India Pvt. Ltd., Representative Director and Senior Vice President — sales, marketing and new business. Led the launch of the SaaS business "Solwer".
2026
Founded Saiterace Inc.
FY2027
India subsidiary (planned).
Recognition
2022
NNA (Kyodo News Group) reports on a cold-chain logistics pilot — subscriber only, in Japanese
2025
Selected for METI's Global South Future-Oriented Co-Creation Program
2026
The Nikkei and NNA (Kyodo News Group) report on the business and its founder — subscriber only, in Japanese
2026
Invited as head of an AI-driven local subsidiary business to pitch to ministers of both governments (Cabinet Office official X)

All relating to "Solwer", the SaaS business at Denso's Indian subsidiary.

Company / 07

Company

Saiterace Inc.

Legal name
Saiterace Inc.
Japanese name
Saiterace株式会社
Founded
September 2026
Representative Director
Shinya Watanabe (Founder & CEO)
Head office
Dai Nagoya Building 11F, 3-28-12 Meieki, Nakamura-ku, Nagoya, Aichi 450-6490, Japan
Overseas subsidiary
India (planned, FY2027)
Business
Applied AI Engineering (AI development and deployment)
Beauty Tech (diagnostics engine development and operation)
Marketing & Sales Tech (data-driven acquisition and sales)
Consumer Intelligence (consumer data platform for India)
Services operated
Maison Saika Tokyo (beauty and personal-colour diagnostics for the Indian market)
Let's Talk

Understanding India's consumers,
through data

No stage is too early.

Deploying AI, using Indian consumer data, or entering the Indian market — all of it starts with an email.

If none of these fit, write to info@saiterace.com.

Depending on the nature of the request we may not be able to take it on. We will tell you plainly either way.