3,000+ growth-obsessed teams from 90+ countries
create 5 reports in every 30 minutes at Kimola.
Automatically classify customer feedback without AI training or manual labelling process. No manual work, so there is no human error.
Create a Free Account No credit card · No commitment
3,000+ growth-obsessed teams from 90+ countries
create 5 reports in every 30 minutes at Kimola.
Analyze datasets without hustling with the training process. There is no need for data annotation or manual labelling, so there is no human error.
Kimola offers Dynamic Classification™ technology, which understands the context and generates clusters with a relevant label name. This way, any dataset in any context can be turned into a research report instantly without a need for a training process. This is best for qualitative analysis where data is unstructured, such as online reviews, open-ended surveys, or social media posts.
Products are complex, and so is feedback. Kimola dynamically generates labels based on your data instead of relying on rigid, pre-defined categories. Kimola's multi-label classification technology ensures that a single piece of feedback can be assigned multiple relevant themes, providing a precise understanding of customer opinions.
Whether a customer praises product quality but criticizes support, or a call-center conversation covers multiple concerns, Kimola accurately categorizes each aspect. This is particularly powerful for long-form feedback such as agent-client interactions and call-center dialogues, ensuring every detail is captured with accuracy.
Kimola's Dynamic Classification technology supports analysis in over 25 languages, allowing businesses to gain insights from diverse global audiences. Whether your feedback is in English, Spanish, Mandarin, Arabic, or many other languages, Kimola ensures accurate and context-aware classification without requiring translation. Simply upload your dataset in any supported language and let the system do the rest.
Learn more about Automated Reports & Alerts
Collect and centralize feedback.
Make sense of large-scale feedback.
Turn data into meaningful insights.
Find out how Kimola can improve your feedback analysis process.
Uncover customer needs, likes, and dislikes from product reviews and feedback.
Analyze customer reviews and ratings to optimize online shopping experiences.
Extract insights from social media conversations and online discussions.
Make sense of free-text survey responses with AI-powered analysis.
Understand customer sentiment and concerns from chat and call transcripts.
Identify workplace trends and employee sentiment from internal feedback and reviews.
A theme is a recurring topic or pattern found within customer feedback. It helps businesses identify key trends, concerns, and opportunities based on real user experiences.
Detecting themes helps businesses understand customer needs, prioritise these needs to improve products and services, and make data-driven decisions. It also saves time by summarizing large volumes of feedback efficiently.
Unlike traditional methods that rely on pre-defined labels, Dynamic Classification adapts to your dataset, creating relevant and context-aware labels instantly without the need for manual training.
Yes! Whether it's online reviews, survey responses, social media comments, or support tickets, Kimola's technology can analyze and categorize all types of textual data.
Analyze customer feedback in 25+ languages—no AI training needed.
Create a Free Account No credit card · No commitment
Join 3,000+ growth-obsessed teams
from 90+ countries.
