Dynamic code frame generation
Canvs generates a code frame automatically when open-ended responses are uploaded, reducing manual theme creation and helping teams move from raw text to structured analysis quickly.
Canvs is an AI insights platform that turns unstructured feedback into themes, emotions, and structured analysis for insights, CX, media, and enterprise teams.
Canvs is an AI-powered insights platform for interpreting unstructured feedback and reaction data. It is designed to turn open-ended comments, social conversation, live event response, and other qualitative inputs into structured themes, emotions, and drivers that teams can use to make decisions.
The product is positioned for teams that need to understand what changed, why it changed, and whether it requires action. Its workflow centers on automatically structuring feedback, then letting users search, filter, compare segments, and generate summaries that can support faster analysis and clearer next steps.
Canvs generates a code frame automatically when open-ended responses are uploaded, reducing manual theme creation and helping teams move from raw text to structured analysis quickly.
Users can filter by question type, theme, emotion, behavior, segment, and custom tags or metadata to isolate trends or edge cases across large datasets.
The platform supports verbatim search that goes beyond keywords by understanding intent and sentiment, which helps users find relevant comments, quotes, or evidence faster.
CanvsIQ acts as an AI teammate for asking direct questions, comparing segments, and generating executive-ready summaries grounded in structured signal and quantified breakdowns.
Canvs connects with live event feeds, social platforms, survey and feedback tools, and enterprise data systems so reaction data can flow into the broader business workflow.
The integrations page highlights specific connections and use cases for Facebook, Forsta, and Tableau, including social conversation analysis, survey enrichment, and dashboard visualization.
Turn open-ended survey responses into themes, emotions, and drivers so customer insights teams can review qualitative feedback faster and compare results across segments.
Track audience reaction during broadcasts, announcements, and other high-visibility moments so media and sports teams can see what triggered a shift while there is still time to respond.
Monitor social conversation to separate noise from meaningful movement, identify who is driving the shift, and understand whether a narrative is gaining momentum.
Analyze feedback from reviews, transcripts, and comments to identify unmet needs, recurring frustrations, and patterns that can inform product decisions or service improvements.
Use CanvsIQ to ask questions of feedback data, compare segments, and produce executive-ready summaries for meetings and stakeholder reporting.
Canvs is positioned as an AI insights platform for turning unstructured feedback into clear, structured analysis. Its pages emphasize feedback from surveys, reviews, social channels, live events, chat, and transcripts.
The platform is aimed at modern teams that need fast, reliable analysis of qualitative feedback, including insights, customer experience, media, and enterprise teams. The site also references media leaders, sports organizations, and enterprise users.
Canvs automatically generates a dynamic code frame when open-ended responses are uploaded, then lets users apply advanced filters and verbatim search to analyze themes, emotions, behavior markers, and segments.
The site does not publish prices on the pages provided. The pricing page presents Canvs as a platform and uses booking and demo calls to action rather than listed plan tiers or rates.
The integrations page shows connections for Facebook, Forsta, Tableau, and a broader set of live event feeds, social platforms, survey and feedback tools, and enterprise data systems.
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