Canvs AI

Upload open-ended responses and Canvs proposes a structured code frame on the spot. It detects themes, topics, and emotions without a template, and it adapts as new responses arrive. For a research team, that removes the slowest part of survey response coding: building and maintaining a manual codebook.

CanvsIQ is the layer that does the interpretation. It combines linguistics, behavioral science, and machine learning, and the company says it is trained on more than three billion expressions of consumer feedback. Instead of counting keywords, it reads intent and emotional tone, which is the difference between knowing that people mentioned a price and knowing that they were angry about it.

The search box understands meaning, not just strings. You can query for a feeling or a theme, then filter the results by segment or question. That makes it practical to audit a claim, pull quotable lines for a report, or check whether a spike in negative comments reflects a real problem or a handful of repeat posters.

The platform includes an AI agent, called Asa, that answers direct questions about the data. Ask what moved this week, compare two segments, or request a quantified breakdown. The Executive Brief takes those findings and assembles a stakeholder ready presentation, which saves the step most insight teams lose a day to.

Canvs ships an MCP connector that brings its analysis into Claude, ChatGPT, Gemini, and Microsoft Copilot. Teams ask questions in the assistant they already use and get answers grounded in their feedback data, with quotes attached. No new login, no second dashboard, which matters for adoption more than another feature usually does.

Filters cut across question types, themes, emotions, behaviors, custom tags, and metadata such as brand, region, or persona. You can isolate a trend by audience or by emotional tone, then compare it against another cut. For a consumer insights platform, this is where the analysis stops being a summary and starts answering a business question.

Canvs tracks audience response in real time and aligns it to the exact moment that caused the shift, whether that is a broadcast segment, an announcement, or a social thread. Media, sports, and sponsorship teams use it to catch a problem while there is still time to respond, not in a report delivered next week.

The platform connects to live event feeds, social platforms, survey and feedback tools, and enterprise data systems. Canvs also markets the product as compliant by design and built for enterprise scale, which is the reason procurement conversations usually start before a trial does.