# Kimola

> Kimola is an AI platform that turns customer feedback into enterprise-grade market research.

Kimola analyzes reviews, survey responses, support conversations and social discussions the way a research team would. Every comment is structured into themes, sentiment and research dimensions such as motivations, pain points, unmet needs, personas and experience contexts. Signals reveal where patterns differ across segments and over time, and Action Plans test hypotheses against the evidence before turning them into recommendations.

Kimola is not a black box: anyone can sign up, run it on their own data and buy it in small amounts without talking to sales. Larger teams work with an account manager on the same platform. Kimola, Inc. is a U.S. company, founded in 2019. 3,000+ teams in more than 90 countries use Kimola.

## Company and product

- [About Kimola](https://kimola.com/about): What Kimola is, what "enterprise-grade" means, and how the company works
- [Product](https://kimola.com/product): How Kimola collects, structures and analyzes customer feedback, from data sources to Signals, Action Plans and reports
- [Pricing](https://kimola.com/pricing): Plans, from self-service to teams with an account manager
- [What is Kimola?](https://kimola.com/support/what-is-kimola): Short overview of data sources, outputs and users

## How Kimola works

- [How Kimola uses AI for research](https://kimola.com/support/how-kimola-uses-ai-for-research): Dynamic classification, multi-label analysis and scoring
- [What is a Dimension?](https://kimola.com/support/what-is-a-dimension): Research layers such as motivations, pain points, unmet needs and personas
- [What is a Signal?](https://kimola.com/support/what-is-a-signal): How Kimola finds patterns that differ across segments and over time
- [What is an Action?](https://kimola.com/support/what-is-an-action): How Action Plans form and test hypotheses before recommending next steps
- [What is a Report?](https://kimola.com/support/what-is-a-report): How analyzed data is presented and exported
- [What is a Model?](https://kimola.com/support/what-is-a-model): Custom and industry-specific AI models

## Capabilities

- [Track Reviews](https://kimola.com/track-reviews): Collect reviews from Amazon, Trustpilot, Tripadvisor, Google Business, App Store and Google Play
- [Track Mentions](https://kimola.com/track-mentions): Follow conversations across social media, news sites, blogs and forums
- [Custom Data Sources](https://kimola.com/custom-data-sources): Upload Excel, CSV or TSV files, or connect Google Sheets, Zendesk and Intercom
- [Topic and Theme Detection](https://kimola.com/topic-and-theme-detection): Themes built from the context of your data, without AI training
- [Aspect-based Sentiment](https://kimola.com/aspect-based-sentiment): Sentiment for each theme within a comment
- [Custom AI Models](https://kimola.com/custom-ai-models): Models trained with your own labels, from a dataset or a prompt
- [Multilingual Analysis](https://kimola.com/multilingual-analysis): Analysis in 30+ languages within a single dataset

## Research published with Kimola

- [Research Reports](https://kimola.com/reports): Consumer and category research built on the Kimola platform, with explicit methodology

## Guides

- [Market Research](https://kimola.com/market-research): Types, methods and history of market research, and customer feedback as a research source
- [Customer Feedback Analysis](https://kimola.com/customer-feedback-analysis): How to collect and analyze customer feedback, and how it delivers market research depth
- [Qualitative Research](https://kimola.com/qualitative-research)
- [Quantitative Research](https://kimola.com/quantitative-research)

## Optional

- [Comparisons](https://kimola.com/compare): How Kimola compares to other platforms
- [Support Center](https://kimola.com/support)
- [Blog](https://kimola.com/blog)