Remesh

Remesh Competitive Intelligence & Landscape

remesh.ai ·

Overview

Remesh Overview

Remesh Inc. is a private market research company founded in 2013 and headquartered in New York City. The company specializes in an AI-powered insights platform that enables organizations to gather deep, scalable insights quickly by facilitating collective dialogue with audiences through live, asynchronous, or video interactions (Exa, Remesh). With a workforce of 51 employees, Remesh has achieved an annual revenue of approximately $20.1 million and has secured around $38.9 million in total funding, with its last funding round being a Series A in December 2021 (Remesh).

Remesh’s core offerings include a hybrid insights platform designed to transform research processes by allowing brands and organizations to understand human insights more deeply and efficiently. Its platform features a comprehensive process that includes research design, data collection, and analysis, supported by AI-driven tools like Remy AI (Remesh). The company's target market includes large enterprises and innovative brands seeking to improve decision-making through richer consumer insights, employee feedback, and market research (Exa).

Remesh’s mission revolves around enabling smarter decisions by providing deeper human understanding at scale, positioning itself as a leader in enterprise feedback management, consumer insights, and AI-driven research solutions (Remesh). Its competitive landscape includes companies like OpenAI and Dragonfly AI, and it maintains a strong online presence with thousands of monthly visitors and positive employer reviews, emphasizing its reputation for innovation and reliability in the insights industry (Remesh).

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Competitors

Remesh Competitors

User Intuition emerges as a top competitor in the AI-moderated research space, offering deep 1-on-1 interviews that focus on motivational insights, contrasting with Remesh's group discussion format (userintuition.ai). It targets organizations seeking personalized, qualitative insights through AI-driven moderation, positioning itself as ideal for nuanced, individual-level research. Its market positioning emphasizes depth over scale, making it a preferred choice for detailed motivational analysis.

Conveo specializes in multimodal academic research, integrating various data types such as text, audio, and video, which sets it apart from Remesh's primarily text-based live discussions (userintuition.ai). Conveo caters to academic and research institutions that require comprehensive, multimodal data collection and analysis, offering a more diverse approach to qualitative research. Its features and focus on academic rigor give it a unique place in the market, although its pricing and market share are less publicly detailed.

Discuss.io is an enterprise-focused platform that provides video interview capabilities, enabling real-time, face-to-face qualitative research at scale (softwarereview.com). It is positioned as a direct competitor to Remesh for large-scale consumer insights, with strengths in visual engagement and detailed interview analysis. Discuss.io’s market share is significant among large corporations needing in-depth, qualitative consumer feedback, and its pricing reflects its enterprise-grade features.

Outset.ai offers automated moderation at scale, focusing on rapid, large-volume qualitative data collection through AI-driven moderation (userintuition.ai). It is tailored for organizations that need quick, scalable insights without the manual effort of traditional moderation, positioning itself as a cost-effective alternative. Its features emphasize automation and speed, with a growing market presence in sectors demanding fast turnaround times.

Quals AI provides synthetic research prototyping, enabling organizations to simulate research scenarios using AI-generated data, which is a different approach from Remesh’s live participant discussions (userintuition.ai). It appeals to companies looking for rapid prototyping and testing of research concepts, especially in early-stage product development or exploratory research. Its market share is emerging, with a focus on innovative, AI-driven research methodologies.

Product & Pricing

Remesh Product and Pricing Intelligence

Remesh is an AI-powered insights platform designed to facilitate real-time consumer and market research through conversational text analysis. It enables researchers to quickly gather nuanced insights from large participant groups, with capabilities for live and asynchronous studies that can include up to 1,000 or 5,000 participants, respectively (Remesh, SaaSCounter).

Regarding pricing, Remesh does not offer a fixed public tier structure or free plan; instead, it provides customized quotes based on the specific needs of each project. Users can request a demo or contact sales to get a tailored quote, which suggests a flexible, enterprise-oriented pricing model rather than a standard tiered system (Remesh, SaaSCounter). Recent updates indicate that the platform emphasizes advanced AI features, such as real-time theme identification, multilingual support, and flexible study design options, making it suitable for market research, employee engagement, and collective intelligence projects (Remesh AI, AI CMO). As of April 2026, no publicly available, standardized pricing tiers or free features are listed, highlighting the platform's focus on customized enterprise solutions.

Ad Campaigns

Remesh Ad Campaigns

Remesh is currently running 197 ads across Google, LinkedIn — 8 on Google and 189 on LinkedIn. Explore Remesh's live ad creative, messaging, and the platforms they advertise on in the ad library — updated automatically by ForesightIQ.

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Hiring & Layoffs

Remesh Hiring and Layoffs

Remesh has experienced notable internal growth and hiring expansion in early 2026, reflecting a strategic focus on strengthening its leadership and operational capabilities in market research. The company announced significant new hires across various departments, including senior roles such as a Senior Qualitative Researcher, VP of Sales, and VP of Customer Experience, indicating an emphasis on enhancing research expertise, sales, and customer engagement (Greenbook).

Recent job openings are actively promoted on their careers page, suggesting ongoing recruitment efforts aimed at expanding their team further (Remesh Careers). This hiring pattern signals a company strategy centered on innovation, growth, and maintaining its position as a market research disruptor utilizing AI technology. There is no recent information indicating layoffs, which further underscores the company's focus on growth and talent acquisition to support its expanding platform and services (Greenbook).

Overall, Remesh’s hiring trends and strategic staffing initiatives demonstrate a commitment to scaling its AI-powered research platform and deepening its expertise in qualitative insights, aligning with its goal to revolutionize research methods and customer engagement.

Leadership

Remesh Management and Leadership Team

The leadership team at Remesh is headed by CEO and Co-founder Gary Ellis, who has been serving in this role since January 2015 and is based in New York (The Org). The executive team also includes Co-founder and Chief Scientist Andrew Konya, Chief People Officer and COO Anthony W. Caputo, and Chief Product Officer Jessica Dubin, among others (The Org). Recent leadership updates highlight the addition of industry experts like Patrick Hyland, Leonard Murphy, and Gregg Archibald, who joined forces with Remesh to enhance AI-powered research capabilities (Remesh Blog).

The company's board members and other notable hires are not explicitly listed in the available sources, but the leadership structure indicates a focus on product development, research, and customer success, with key roles in marketing, security, and project management (The Org). Additionally, Remesh announced a significant funding round of $10 million in March 2026, which likely supports ongoing leadership and strategic initiatives (Remesh Resources). Overall, Remesh's management team is composed of experienced professionals dedicated to advancing AI-driven qualitative research solutions.

Financials

Remesh Financial Performance, Fundraising, M&A

Remesh has demonstrated strong financial growth and activity in recent years. In 2026, the company's annual revenue was reported to be approximately $31.5 million, reflecting its successful market penetration and operational scale (RocketReach). The company has also raised a total of $42.3 million in funding, with its latest funding round amounting to $4.25 million completed in December 2022, which contributed to its valuation and financial health (PitchBook).

In terms of fundraising, Remesh has secured a total of $76 million over four rounds, with significant investments from venture capital firms, including a notable $25 million round in March 2020. This funding has supported its growth and expansion into enterprise markets (LeadIQ).

Regarding mergers and acquisitions, there are no publicly available records of recent M&A activity involving Remesh. However, the company's strategic moves include active litigation to defend its proprietary technology, which underscores its focus on maintaining a competitive edge and financial stability (LeadIQ). Overall, Remesh exhibits robust financial health, supported by substantial revenue, ongoing funding, and strategic growth initiatives.

Partnerships

Remesh Partnerships, Clients and Vendors

Remesh has established notable partnerships and collaborations within its ecosystem, leveraging its advanced conversational research platform. The company has attracted investments from firms such as Gaingels, Wilmot Advisors, Avid Ventures, and Beaconsfield Capital Management, indicating strong backing from venture capital and strategic investors (PitchBook). While specific details about partnerships with other technology vendors or enterprise clients are not explicitly listed, Remesh's platform is integrated with AI and market research tools, enabling real-time audience engagement and insights, which suggests collaborations with clients across industries like advertising, marketing, and media (Remesh). Its ecosystem is further supported by integrations with AI-driven features such as Remy, an AI agent that provides citation-backed insights, enhancing its value for enterprise research and decision-making (PRWeb). Overall, Remesh's ecosystem appears to be centered around strategic investor relationships, AI integration, and enterprise customer engagement, positioning it as a key player in the conversational research space.

Events

Remesh Event Participations

Remesh actively participates in various industry events, including webinars, conferences, and trade shows, to showcase its research platform and AI capabilities. Notably, they host live webinars such as "Meet Remy: The New Era of AI for Research," where they demonstrate their AI-driven research tools and discuss future developments, featuring speakers like Jessica Dubin, their Chief Product Officer (Remesh). They also organize live sessions such as "Remy in Action: Generative & Agentic AI for Modern Research," aimed at consumer and employee insights professionals, highlighting how AI integrates into research workflows (Remesh). Additionally, they conduct on-demand webinars like "Q1/26-WEBR-3.25-OnDemand-RemyAction," which focus on AI innovations and their impact on qualitative research (Remesh). Beyond webinars, Remesh engages with the research community through on-demand demos and simulation resources, facilitating hands-on understanding of their platform (Remesh). While specific industry conference or trade show appearances are not explicitly listed, their participation in on-demand showcases and webinars indicates active involvement in industry events to promote their AI-powered research solutions.

Frequently Asked Questions

What does Remesh's March 2026 $10 million funding round signal about its near-term strategic priorities?

The March 2026 funding round signals that Remesh is in an active growth phase, not a survival mode. Coming on top of prior rounds totaling roughly $42–76 million (sources vary on cumulative totals), the fresh capital is likely earmarked for the AI product buildout around Remy and the simultaneous senior hiring wave — VP of Sales, VP of Customer Experience, and several research leadership additions — all announced in early 2026. The timing suggests investors are betting on Remy's AI-agent positioning as a durable wedge in the enterprise insights market.

Is Remesh's revenue trajectory a credible growth story or a sign of inconsistent reporting?

There is a meaningful discrepancy in reported figures: one source pegs 2026 annual revenue at approximately $31.5 million while the company overview cites roughly $20.1 million, and cumulative funding totals range from $38.9 million to $76 million depending on the source. Analysts should treat these figures as directionally useful rather than precise — the range suggests mid-market SaaS scale (~$20–32M ARR) with genuine growth from earlier periods, but the inconsistency warrants verification against audited disclosures before any transaction-level decision.

What does Remesh's simultaneous hiring of a VP of Sales and VP of Customer Experience in early 2026 suggest about where revenue pressure is coming from?

Hiring both a VP of Sales and a VP of Customer Experience at the same time typically signals two things: a push to accelerate new logo acquisition and a recognition that churn or expansion revenue from existing accounts needs active management. For Remesh, this dual investment suggests the company is moving from a founder-led or product-led growth motion toward a structured enterprise sales and success organization, likely in response to competitive pressure from automated-moderation players like Outset.ai and to maximize lifetime value of its enterprise accounts.

What does the launch of Remy — Remesh's citation-backed AI agent — tell us about how Remesh is repositioning against competitors like Outset.ai and Quals AI?

Remy's emphasis on citation-backed, grounded insights is a direct response to a trust problem that plagues AI-generated research outputs: enterprise buyers need defensible, auditable findings. By differentiating on provenance rather than just speed or scale, Remesh is positioning Remy above commodity automation tools like Outset.ai (which emphasizes throughput) and synthetic-data players like Quals AI (which use AI-generated participants). The strategic bet is that large enterprise and regulated-industry clients will pay a premium for traceable AI insights over fast but opaque alternatives.

What does Remesh's absence of a public pricing page signal about its go-to-market strategy and deal size?

Remesh's deliberate avoidance of published pricing tiers — directing all prospects to custom quotes and demos — is consistent with an enterprise-only go-to-market motion targeting deals large enough to justify a sales-assisted process. This also gives the company pricing flexibility across industries and project scopes, and makes direct price comparison with competitors harder. The strategy aligns with its concurrent investment in a VP of Sales and VP of Customer Experience, suggesting average contract values that reward a high-touch sales cycle over self-serve conversion.

What does the addition of Patrick Hyland, Leonard Murphy, and Gregg Archibald to Remesh signal about its positioning within the market research industry?

Bringing in well-known market research industry figures — Murphy and Archibald in particular have significant visibility in the insights community — is a credibility and distribution play as much as a talent play. These hires signal that Remesh is targeting adoption by traditional research buyers who are skeptical of pure-tech platforms, and that the company wants industry insiders evangelizing Remy to an audience that values domain authority. It also suggests Remesh sees a gap between its current buyer base and the broader insights community it wants to penetrate.

How does Remesh's group-discussion architecture create a structural competitive moat — or liability — relative to User Intuition's 1-on-1 format?

Remesh's group-dialogue format produces collective intelligence signals — consensus, dissent, emerging themes — that one-on-one tools like User Intuition structurally cannot generate at the same scale. This is a genuine moat for use cases like policy testing, brand perception studies, or employee sentiment where the interaction between perspectives matters. The liability is the opposite: for deep motivational or sensitive individual research, the group format can suppress authentic responses, ceding that segment to User Intuition. Remesh's roadmap investment in asynchronous and video modes (up to 5,000 participants) suggests it is doubling down on scale advantages rather than trying to compete on depth.

What does Remesh's event strategy — heavy on branded webinars like 'Meet Remy' and 'Remy in Action' — suggest about its pipeline development approach?

Remesh's event calendar is almost entirely self-produced and Remy-branded, which indicates a product-education-led pipeline strategy rather than sponsorship of third-party industry conferences. This is cost-efficient and keeps the narrative tightly controlled around the AI agent launch, but it limits top-of-funnel reach to audiences already aware of Remesh. The on-demand and live webinar format featuring CPO Jessica Dubin also positions product leadership as the face of the brand, reinforcing a product-credibility message to research-practitioner buyers.

Is Remesh's last external funding round (late 2021/2022) a sign of financial self-sufficiency or a potential funding gap ahead of the reported March 2026 raise?

The gap between the reported late-2021/2022 rounds and the March 2026 $10 million raise — roughly three to four years — is longer than typical for a company at Remesh's growth stage, suggesting either that the business became cash-flow neutral (consistent with ~$20–31M in revenue on a ~50-person team) or that it faced a challenging fundraising environment in 2022–2024. The 2026 raise, structured relatively modestly at $10 million, looks more like a strategic growth injection for the Remy AI buildout than a rescue round, but the extended gap is a signal worth monitoring.

What does Remesh's investor base — Gaingels, Avid Ventures, Wilmot Advisors, Beaconsfield Capital Management — suggest about its strategic exit options?

Remesh's investor syndicate is composed primarily of financial venture and growth-equity investors rather than strategic corporate VCs from market research, media, or enterprise software conglomerates. That profile limits the likelihood of a pre-arranged strategic acquisition by an investor-affiliated parent but leaves open a wide range of acquirers — marketing technology platforms, enterprise survey vendors, or large qualitative research firms looking to acquire AI capabilities. The absence of a strategic investor with a clear exit pathway suggests any M&A outcome would be opportunistic rather than pre-engineered, and no publicly recorded M&A activity has occurred to date.

What does Remesh's 51-person headcount relative to ~$20–31M in reported revenue imply about its unit economics and operating model?

At 51 employees and $20–31M in annual revenue, Remesh generates roughly $390K–$610K in revenue per employee, which is strong by SaaS standards and suggests a high degree of automation in service delivery — consistent with an AI-moderated platform that does not require large human moderation teams per study. This lean structure implies healthy gross margins but also limited organizational redundancy; the current hiring wave for senior sales, customer experience, and research roles represents a deliberate reinvestment of that efficiency into growth capacity rather than a sign of operational stress.

What does Remesh's product expansion into asynchronous, video, and multilingual formats signal about where it sees the next phase of market growth?

Remesh's expansion beyond live text-based group discussions into asynchronous studies (up to 5,000 participants), video interactions, and multilingual support signals a move to capture global enterprise accounts and use cases that were previously out of scope — specifically longitudinal research, international brand studies, and employee listening programs that span geographies and time zones. This breadth expansion also serves as a competitive defense against Conveo's multimodal positioning and Discuss.io's video-interview strength, essentially building those capabilities inside the Remesh platform rather than ceding adjacent segments to specialists.

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