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Mineds AI Research

Mineds AI Agent

AI Data Lab

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SERVICE- Mineds AI Research

AIResearch


AI-Driven Revolutionary Research Solution


Patent Acquired

  • Service Overview

  • Service Advantages

  • Key Features of Mineds AI Research

Qualitative Research

A completely new research solution that fully utilizes generative AI
to achieve dramatic sophistication and efficiency in research operations

Based on the data and insights that Minedia has accumulated,
we have independently developed AI solutions specialized for research.
By "co-creating" with AI for both quantitative and qualitative research,
dramatic sophistication and efficiency of research operations become possible.
Furthermore, through the accumulation of your company's research data, past research results become assets,
and AI will be driven more effectively based on that data.

ADVANTAGES

Service Advantages

Efficiency

Achieve overwhelming speed with AI
For quantitative research, research reports
can be completed as early as the same day

Speed

Minimize communication with AI
No unnecessary back-and-forth, real-time responses
80% reduction in confirmation and instruction work

Cost Optimization

Achieve optimal costs compared to
conventional methods while ensuring
equivalent or superior output quality

Traditional Qualitative Research

KEY FEATURES

Key Features of Mineds AI Research

In-house developed online interview system that completes interviews fully remote

KEY FEATURE 1

High-quality quantitative and qualitative research design, planning, and output creation by AI

We provide advanced research design utilizing AI for both quantitative and qualitative research by combining data science and market research expertise. We create optimal research plans tailored to business challenges and needs at overwhelming speed, achieving efficiency in marketing processes. Furthermore, we have achieved unprecedented evolution in research processes by streamlining output creation processes such as automatic transcription and summary creation for qualitative research and report creation for quantitative research through AI.

01
Insight data accumulation platform for reviewing and sharing interview content within the organization

KEY FEATURE 2

Platform for research data accumulation and organization

The system is structured to efficiently accumulate and organize collected research data, enabling easy sharing and review within the organization. Furthermore, as data accumulates, AI-powered meta-analysis becomes possible, enabling correlation analysis and trend identification between past research results and new data. Through this system, past research data becomes an asset, making effective review and utilization of past research data possible, which was previously difficult, creating a mechanism that maximizes data value and enhances the long-term effectiveness of research investment.

02
AI automatic transcription function with significantly low error recognition rate

KEY FEATURE 3

【Quantitative Research】Automation from questionnaire creation to data analysis for quantitative research by AI

We streamline quantitative research processes with AI, enabling the implementation of everything from automatic questionnaire creation to cross-tabulation analysis, which previously took considerable time, at overwhelming speed. Additionally, we discover complex correlations and segment characteristics that were time-consuming in human analysis, providing deeper insights. By streamlining workflows from data collection to analysis, we achieve shortened research periods and cost reduction. This becomes a powerful factor in enhancing competitive advantage in business environments that require rapid decision-making.

03
Acquiring optimal research panels through proprietary digital marketing

KEY FEATURE 4

【Qualitative Research】High-quality qualitative research through proprietary web interview system

We have implemented a proprietary web interview system specialized for qualitative research. Designed to obtain deep insights equivalent to face-to-face research in an online environment, it ensures natural communication between interviewers and respondents while enabling seamless sharing of videos and images within the system and real-time confirmation of respondent reactions from the back room. Furthermore, data conducted through this interview system is instantly linked with AI, enabling smooth output generation.

04
Securing high-quality moderators

KEY FEATURE 5

Comprehensive support through AI systems and expert teams

In addition to efficiency and automation through cutting-edge AI systems, we also provide comprehensive support from a team of experienced research professionals. From the initial stages of research design to result interpretation and strategic implementation, professionals provide comprehensive support, and we provide comprehensive consulting including how to utilize AI tools.

05

CLIENT

There's a reason we're chosen

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CASE STUDY

Case Studies

MINEDSfor EC DATA

株式会社西鉄ストア様 Mineds for EC Data 導入事例…

西鉄ストアご担当者様プロフィールご担当者様株式会社西鉄ストア営業企画部兼メディア戦略課兼マーケティング室課長坂本 大輔 氏略歴2001年に株式会社西鉄ストアへ入…

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MINEDSfor INSIGHT DATA Facebook社ロゴ

Facebook Japan株式会社様 Mineds for Insight Data 協業事例…

Facebookご担当者様プロフィールご担当者様グローバルビジネスグループ・チームリード宇津井 文子 様グローバルビジネスグループ・アカウントマネージャー木崎 …

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MINEDSfor INSIGHT DATA 資生堂ロゴ

資生堂ジャパン株式会社様 定性調査データアーカイブ機能 導入プロジェクト責任者インタビュー…

資生堂ジャパンご責任者様(当時)プロフィール 資生堂ジャパン株式会社CMI(Consumer & Market Intelligence) バイ…

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MINEDSfor INSIGHT & EC DATA picsart_logo

Picsart様 Mineds 導入事例…

PicsartについてPicsartはセコイア・キャピタルやソフトバンク・ビジョン・ファンドなどから出資を受け、企業価値10億ドル以上と評価されているユニコーン…

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MINEDSfor INSIGHT DATA トヨタコネクティッドロゴ

トヨタコネクティッド株式会社様 Mineds for Insight Data 導入事例…

トヨタコネクティッドご担当者様プロフィールご担当者様トヨタコネクティッド株式会社先行企画部 技術企画室 UXデザインGGM 兼 Head of UX Desig…

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MINEDSfor INSIGHT DATA LION

ライオン株式会社様 Mineds for Insight Data 導入事例…

ライオンご担当者様プロフィールご担当者様ライオン株式会社研究開発本部 戦略統括部 イノベーションラボ服部 昂 様略歴2012年ライオンに入社し、住居用洗剤や台所…

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Thank you for your interest in Minedia. Please feel free to contact us for quote requests, service inquiries, recruitment-related inquiries, and more.

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