Build & Deploy
Custom AI Models

Train AI models to classify customer feedback with your own labels. Upload your training set, build your model, and start analyzing—all no code!

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Individual researchers, product managers, start-up founders

3,000+ growth-obsessed teams from 90+ countries
create 5 reports in every 30 minutes at Kimola.

Build and Deploy

Upload your training set in .xlsx, .xls, .csv, or .tsv formats, and let Kimola analyze its suitability. Once your model is built, classify a single customer feedback or entire datasets instantly. Developers can also integrate Kimola's AI into their applications without infrastructure investment.

Build and Deploy
Aim the Highest Accuracy with AutoML

Aim the Highest Accuracy with AutoML

Kimola's AutoML ensures the highest accuracy, letting social scientists focus on content rather than technical complexity. When you update your training set, the model is automatically rebuilt using the best statistical method, keeping it accurate and up-to-date.

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Find out how Kimola can improve your feedback analysis process.

Frequently Asked Questions
About Custom AI Models

  • An AI model is a system trained to recognize patterns in data and make predictions or classifications based on those patterns. In Kimola, AI models help categorize customer feedback according to custom labels.

  • A custom AI model allows you to classify feedback specific to your industry, brand, or research needs. Instead of relying on generic models, you get precise insights tailored to your business.

  • Yes, just focus on creating a well-prepared training set. It may be in Excel format or, if you're not a fan of Excel, use your favorite software and export as CSV or TSV. Kimola accepts all these file formats to build your machine learning models. If anything is wrong with your training set, the wizard will notify you.

  • You can upload a training set with a minimum of two labels and 100 samples for each label. A training set can contain a maximum of 60,000 rows and up to 15 labels.

  • No, Kimola is only available on the cloud. However, you can manage your custom model through a visual user interface or a well-documented API. If you have any concerns about data safety, contact us, and we'll provide all the necessary information.

  • Kimola's AutoML works to achieve the best accuracy, but accuracy depends on the training set. If your model has a low accuracy rate, add more samples for your labels and upload your training set again. These experiments don't affect your package usage since we know they're a natural part of the process.

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Analyze customer feedback in 25+ languages—no AI training needed.

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