Research Platform Lupe Adds New Feature "Context"

Lupe Inc. (Headquarters: Setagaya-ku, Tokyo; CEO: Sohei Takeda) announced the addition of a new feature called "Context" to its research platform Lupe (Lupe) on June 28, 2026. The feature is now available starting today. Context will be added as a standard feature for existing Lupe users at no additional monthly cost—users only pay actual research expenses. (URL: https://lupe.co.jp/service)

"Context" is a functionality that accumulates and updates the structure and context of businesses and projects across three hierarchical levels: Workspace Context, Project Context, and Global Context. By passing this accumulated context to Lupe’s existing AI-powered features such as AI Question Creation and AI Interviewer, the platform enables highly accurate research that reflects researchers’ intentions and business understanding.

Background: As AI takes on more research tasks, the researcher’s "Structuring and Contextualization Ability" becomes increasingly critical

Lupe is committed to enhancing the "quality" of research through AI. The quality of research fundamentally depends on how deeply and contextually a researcher understands the business or project. Discovering new structures and contexts through research is also a core responsibility of the researcher. Lupe aims to be the platform that translates the researcher’s captured structures and contexts into high-resolution research execution.

Research tasks such as survey question design, conducting interviews, and summarizing results have already been significantly streamlined by AI. Lupe supports both quantitative and qualitative research through features like AI Question Creation, AI Interviewer, and AI Summary Report.

However, simply delegating tasks to AI does not improve research quality. The more AI handles execution, the more critical it becomes for researchers to demonstrate their ability to structure problems and contextualize insights. Lupe believes that this "structuring and contextualization ability" is what ultimately determines AI performance, and has therefore developed "Context" as a platform feature to support it.

What is "Context"? Accumulating research context across three layers and passing it to AI

"Context" is a feature that accumulates and updates the foundational structure and context of research across three layers:

Workspace Context (editable): The overarching context that applies not just to individual research projects, but to the entire organization or business they belong to. This includes elements such as the organization’s overall MVV (Mission, Vision, Values), KGI/KPI, key themes, and strategic challenges.

Project Context (editable): Context specific to an individual research project, including details such as the responsible team, mission alignment, and specific research requirements.

Global Context (preset): Lupe’s accumulated research expertise, preloaded with standardized frameworks and analytical methodologies.

The two layers—Workspace Context and Project Context—are editable by clients, allowing them to build and evolve their own organizational context. Underpinning these layers is the Global Context, which comes preconfigured with Lupe’s research expertise. By combining client-specific context with Lupe’s universal expertise, AI can conduct research grounded in real business understanding. Additionally, Lupe’s research partners support clients throughout the process—from context building to research design and analysis.

The accumulated context is reflected across Lupe’s AI features:

AI Question Creation: Generates survey questions and answer options that align with the researcher’s intent, informed by business and project context.

AI Interviewer: Conducts interviews and follow-up questions with a clear understanding of the research background and objectives.

This enables AI to move beyond generic processing and act as a research executor deeply aware of the specific business and project context. Researchers, in turn, can focus on structuring, contextualization, and insight generation.

Transforming research into an organizational asset

The context accumulated in "Context" is not limited to a single research project. New structures and insights gained through research are continuously accumulated and updated within Context, improving the accuracy of future research.

By continuously updating and reflecting the overall business context in research design and execution, insights generated not only address immediate research goals but also permeate beyond individual projects to benefit the entire organization. Lupe aims to transform research from isolated activities into a shared, evolving organizational asset.

Lupe advances "AI-Hybrid Research"—extending human insight with AI

Lupe’s mission is "for those who create how people feel," and the company has long delivered business-critical insights by refining research methodologies.

Under the concept of "Human Insight, AI Scale," Lupe is advancing AI-Hybrid Research—where AI extends human insight. "Context" is a core component of this vision.

Today, June 28, 2026, Lupe presented "Practicing AI-Hybrid Research" at the "RESEARCH Conference 2026." The full version of the presentation is available online—please visit the website to view.

CEO Statement | Sohei Takeda, CEO, Lupe Inc.

Historically, much of research work has been occupied by execution tasks such as question design, data collection, and tabulation. Now that AI can handle these execution tasks, researchers can focus more than ever on deeper, introspective, and exploratory work—deeply understanding businesses and projects, formulating essential questions, synthesizing voices, and generating profound insights.

"Context" is the feature that transfers the structures and contexts captured by researchers to AI. Our goal is not simply to delegate existing tasks to AI and stop there, but to extend human insight through AI. We believe that research work will not disappear—it will become even more challenging and exciting.

Company Information

Company name: Lupe Inc.

Headquarters: Setagaya-ku, Tokyo

Representative: CEO Sohei Takeda

Business: Development and provision of research platforms; co-creative research partnership and support

URL: https://lupe.co.jp/

Service URL: https://lupe.co.jp/service

Inquiries regarding this release

Lupe Inc. Email: [email protected] Web: https://lupe.co.jp