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Are you building the next great AI company?
Don't spend precious time on creating and managing your data labeling and annotation tools. Heartex helps you create better models in a shorter time. Annotate, label and explore your datasets, making it ready for machine learning.


The backbone of your AI company

Data is diverse, and so has to be a data annotation tool. Heartex is an annotations management system with configurable UI interface for your specific needs. Start using it and minimize the amount of time your entire team spends on preparing and analyzing datasets for machine learning.

  • Configurable annotation UI
  • Data manager
  • Statistics and performance
  • External collaborators and teams support
  • REST API and Python SDK
  • Machine Learning integrated

Annotations for different types of data


Use Heartex for analysing photos, CCTV footage, ecommerce, and other visual information.


Label audio files to filter out ads, transcribe audiobooks, identify music genres and more.


Parse human input, moderate messages, train chatbots for context recognition

Time series

Label time series data and train your or Heartex models to work with sensor signals.

Custom datasets

Set up Heartex models to work with any type of datasets you have — let us know of your objectives and we'll help you start either with our AI models or connect your own.

Actionable results

Integrate your AI model with Heartex through our API and see how its quality score grows as you label the dataset. Such model integration approach allows you to see results faster — in days, not months — and process only as much data as necessary.

How companies use Heartex


Our client maIns saved $1500 by using Heartex pre-trained model to evaluate insurance cases. Instead of spending hours on making decisions manually, they have their customers take pictures of car crash damage on-site and the AI does the rest in a matter of seconds.


Human+, a smart devices company, provides workforce analytics to construction companies. It uses Heartex to label data gathered from devices worn by builders. Insights lead to real work processes optimisation and cutting costs.

Fishing industry

We're working on a project that uses Heartex AI models to process information about commercially caught fish and saves time & money on identifying types of fish on images taken at the site of catch.

What else you get

Auto pre-labeling

We make suggestions based on what has already been processed before. You only need to approve or correct the suggestions when labeling your own datasets.

Optimal strategy

Heartex uses cluster annotation and active learning to train your model on diverse examples first. You can fine-tune the model by labeling similar objects later to optimize the model’s quality score.

Transparent process

If a dataset is missing variables, or your collaborators labeling results differ too much, you'll see that early enough. Make adjustments and save time and money on labeling everything — just monitor the model's quality score at the early stages of training.

Easy to get started

  1. Sign up for Heartex and add your dataset objects
  2. Connect your AI model through Heartex API or choose one of our pre-trained models
  3. Label a small batch of objects, yourself or collaboratively with your team members
  4. See your model’s quality score improve as you go through the dataset
  5. Start using your model as soon as you want. If necessary, you can keep improving its quality score as you go.
Start annotating your data
You're building something great, let us help you do it faster and remove the boring parts