Fast, Compliant, and Reliable Insights for your Healthcare Market Research.

Remesh is an AI-powered insights platform that enables life sciences and healthcare organizations to engage large groups of participants in real-time, conversation-based research. Researchers can conduct live or asynchronous sessions with up to 5,000 participants, collecting open-ended responses and anonymous peer voting that surface both the what and the why behind attitudes and behaviors. Typical use cases include HCP adoption research, patient experience studies, concept and messaging testing, and payer and provider sentiment analysis.

Traditional qualitative methods in life sciences, like in-person advisory boards or one-on-one interviews, are slow, expensive, and difficult to scale. Surveys give you volume but rarely surface the nuance that shapes go-to-market decisions. Remesh bridges that gap by enabling live, moderated conversations with hundreds of HCPs, patients, or other stakeholders at once, with AI analyzing and organizing responses in real time. And for teams who can't coordinate participants at a single time, Remesh's Flex mode lets participants respond asynchronously on their own schedule, with the same depth of analysis applied to every response.

Remesh is particularly well suited for studies that require depth at scale, including HCP attitude and adoption research, patient journey mapping, clinical concept testing, message and positioning development, label comprehension, payer and provider sentiment, and competitive landscape exploration. It is also effective for internal research, such as understanding field force feedback or gathering clinical staff perspectives on operational or cultural topics.

Remesh offers three flexible recruitment paths. With on-demand recruit, you can source participants directly within the platform by defining your targeting criteria, and Remesh handles fulfillment through its integration with Prolific, delivering vetted, verified participants with a sub-3% removal rate. For studies requiring specialized healthcare audiences, such as specific physician specialties, rare disease patients, or payer decision-makers, Remesh's full-service sample team can recruit custom sample through a broad network of double opted-in panels, expert networks, and qualitative recruiters. If you already have a patient community, HCP panel, or proprietary list, you can bring your own audience directly into the platform.

Yes. For complex or low-incidence audiences that on-demand recruitment can't reach on its own, Remesh's sample team works with a wide network of specialty panels and expert networks to source the right participants for your study. This makes it possible to conduct meaningful qualitative research with niche audiences that are typically difficult and time-consuming to recruit through traditional methods.

Yes. Remesh offers a range of support models depending on your team's needs and capacity. Experienced researchers can run studies independently using the platform, while teams that want guidance can access Remesh's research services experts for support at any stage of the project. For organizations that want a fully managed experience, the research services team can take on the study end-to-end, from discussion guide design and recruitment through moderation, analysis, and reporting. This makes Remesh a viable option whether your team is running dozens of studies a year or approaching a complex methodology for the first time.

Remesh supports 46 languages, and participants can respond in different languages within the same conversation, with everything translated in real time. For global pharmaceutical, biotech, and medical device companies conducting multi-market research, this means you can run a single unified study across regions without separate sessions, manual translation delays, or forcing non-native speakers to engage in a language that is not their own. The result is more authentic responses and faster time to insight across markets.

Results are available immediately. Remesh's AI analyzes, codes, and themes open-ended responses as the conversation unfolds, so researchers can see emerging patterns during the session itself and adjust their discussion guide on the fly. There is no waiting on manual transcription or coding after the fact. For organizations where speed to insight directly affects launch timelines, competitive positioning, or go-to-market decisions, this is a meaningful operational advantage.

Yes, and it is particularly well suited for it. Because Remesh conversations are anonymous, participants are more likely to share honest, candid perspectives on sensitive topics than they would in a setting where their identity is known. This psychological safety is especially valuable in patient research, where stigma, privacy concerns, or fear of judgment can otherwise suppress authentic responses.

Yes. Remesh is built to fit into your existing research and technology ecosystem rather than replace it. If you have data from Qualtrics or another survey platform, you can import it directly into Remesh to take advantage of its AI-powered analysis suite. Beyond data import, Remesh also supports custom integrations with other tools and systems your team relies on, so if there is a specific platform or workflow you need Remesh to connect with, that conversation is worth having with your account team.