Canvs AI

Canvs AI helps enterprises unlock insights from messy customer feedback data.
Venture Round $27.1M total Founded 2010 New York, New York 32 employees
Canvs AI is an AI-powered text analysis platform that transforms unstructured feedback from surveys, reviews, social media, and call transcripts into structured, actionable insights at scale. The platform uses patented natural-language algorithms to quantify emotions, themes, and sentiments with interactive citations and transparency. Fortune 500 companies like CVS, Disney, Netflix, and ABInBev use Canvs daily to increase research productivity by 20X while reducing manual analysis time.
Problem solved
Teams spend hundreds of hours manually coding and analyzing open-ended text responses instead of extracting actionable insights from customer feedback at scale.
Target customer
Fortune 500 and enterprise companies in consumer goods, media, entertainment, hospitality, and retail that conduct large-scale customer and employee research through surveys, reviews, and social listening.
Founders
J
Jared A. Feldman
Founder & CEO
Co-founded Mashwork (predecessor to Canvs) at NYU, named to Forbes 30 Under 30, holds two patents in measurement techniques, BFA from NYU.
D
Dr. Sam Hui
Co-Founder & Advisor
Co-founded Mashwork with Feldman at NYU, focused on entertainment industry insights.
Funding history
Series A $5.6M January 21, 2016 Led by KEC Ventures · 9 total investors
Series D $15M September 27, 2023 Led by Fulcrum Equity Partners · Engage Capital, Bigfoot Capital, Tech Square Ventures, York IE, 7BC Venture Capital
Total raised: $27.1M
Pricing
Subscription-based model with custom enterprise pricing. Not publicly available; contact sales for quotes.
Notable customers
CVS, Disney, Netflix, ABInBev, Church & Dwight, Fandango, Tillamook, PODS, National Geographic, Fossil Group, Udemy
Tech stack
Slick (JavaScript libraries) LazySizes (JavaScript libraries) jQuery UI (JavaScript libraries) jQuery Migrate (JavaScript libraries) jQuery (JavaScript libraries) core-js (JavaScript libraries) Swiper (JavaScript libraries) Bootstrap (UI frameworks) Drift (Live chat) Intercom (Live chat) Webpack RSS Open Graph Module Federation WordPress (Blogs) Site Kit (Analytics) HubSpot Analytics (Analytics) Matomo Analytics (Analytics) Google Analytics (Analytics) Linkedin Insight Tag (Analytics) Twitter Emoji (Font scripts) Google Font API (Font scripts) Nginx (Reverse proxies) PHP (Programming languages) Google Workspace (Email) 6sense (Marketing automation) HubSpot (Marketing automation) MailChimp (Marketing automation) MySQL (Databases) Linkedin Ads (Advertising) AdRoll (Advertising) Google Tag Manager (Tag managers) Elementor (Page builders) Yoast SEO (SEO) Amazon Web Services (PaaS) WP Engine (PaaS) AdRoll CMP System (Cookie compliance) Google Optimize (A/B Testing) Mailgun (Email) Twenty Twenty-One (WordPress themes) ElementsKit (WordPress plugins) WPMU DEV Smush (WordPress plugins) HubSpot WordPress plugin (WordPress plugins)
Website
Competitors
Relative Insight
Text analysis competitor with less emphasis on emotion quantification and interactive citations.
FeedbackNow
Focuses on feedback collection and management rather than deep qualitative insights from unstructured text.
Caplena
AI-powered text analysis with less focus on Fortune 500 scale and sentiment quantification transparency.
Luminoso
Broader text analytics platform with less specialization in customer feedback and emotion analysis.
Heap
Product analytics platform focused on user behavior tracking rather than qualitative feedback analysis.
Why this matters: Canvs AI has proven product-market fit with Fortune 500 adoption and documented 20X productivity gains. Recent launches of AI Story Assist and Asa demonstrate continuous innovation in making AI-powered insights more accessible and conversational, positioning the company at the intersection of AI and enterprise research as qualitative data analysis becomes increasingly critical for decision-making.
Best for: Enterprise consumer research teams that need to analyze thousands of open-ended responses quickly without manual coding, particularly in CPG, media, entertainment, and retail.
Use cases
Customer Feedback at Scale
A Fortune 500 retailer analyzes 50,000+ customer survey responses monthly. Instead of spending weeks manually coding themes and emotions, Canvs AI processes the data in hours, identifying key drivers of satisfaction and sentiment shifts across regions. Teams save 10-15 hours per week while gaining deeper insights.
Social Listening & Brand Monitoring
A media company monitors thousands of social comments and reviews daily across multiple platforms. Canvs quantifies emotional sentiment and identifies emerging themes in real-time, enabling the marketing team to respond to brand perception shifts immediately and inform content strategy.
Product Development Insights
A consumer goods company uses Canvs to analyze open-ended feedback from product testing groups and customer reviews. The platform surfaces specific emotional drivers and unmet needs that inform product refinement, reducing development cycle time and improving market fit.
Alternatives
Medallia Broader customer experience platform with feedback collection, but less specialized in AI-powered qualitative analysis of unstructured text.
Pendo Product experience and analytics platform focused on digital behavior tracking rather than qualitative feedback analysis.
Productboard Product management platform that collects feedback but lacks deep AI-powered sentiment and theme quantification at enterprise scale.
FAQ
What does Canvs AI do? +
Canvs AI transforms unstructured text data from surveys, reviews, social media, and transcripts into structured insights by using AI to quantify emotions, themes, and sentiments with interactive citations. It enables enterprises to analyze customer and employee feedback at scale in real-time, reducing manual analysis time and accelerating insights discovery.
How much does Canvs AI cost? +
Canvs AI operates on a subscription model with custom enterprise pricing. Specific pricing is not publicly available; interested customers must contact the sales team for a quote based on their data volume and feature requirements.
What are alternatives to Canvs AI? +
Alternatives include Relative Insight (general text analysis), FeedbackNow (feedback collection), Caplena (AI text analysis), Medallia (broader CX platform), and Productboard (product feedback management). Choice depends on whether you need specialized qualitative analysis or broader feedback collection and management.
Who uses Canvs AI? +
Fortune 500 enterprises in consumer goods, media, entertainment, retail, and hospitality use Canvs daily. Notable customers include CVS, Disney, Netflix, ABInBev, Fandango, Tillamook, National Geographic, and Fossil Group. Typical users are insights teams, market researchers, and product managers handling large-scale qualitative feedback.
How does Canvs AI compare to Relative Insight? +
Canvs AI specializes in emotion and sentiment quantification with interactive citations and transparency, particularly for enterprise-scale customer and employee feedback analysis. Relative Insight offers broader text comparison and analysis capabilities but with less emphasis on sentiment quantification and emotion extraction specific to customer feedback contexts.
Tags
text analytics sentiment analysis qualitative research customer feedback AI insights natural language processing market research