Heartex believes that to build next-generation AI models and speed-up adoption of AI in real-world complex systems, you need to have great tools available to you. Heartex contributes to open-source and releases parts of its software as open-source packages. It helps companies who are just starting to adopt AI to produce high-quality results on a smaller budget. We value quality, speed, and transparency.
The open-source tool «Label Studio» was developed by Heartex, and is the core of the platform. Released in mid-August of 2019, it's full front-end implementation of our configurable data labeling tool. You can install and run it locally, embed it into your applications, and start labeling major data types it supports in minutes. It's a perfect choice for personal or small business projects.
Michael has spent last decade helping multiple startups to grow their technology, working as lead developer and engineering teams manager. His expertise is concentrated around visual recognition and machine learning.
After finishing his PhD on applied mathematics & cybernetics Nick worked in large enterprises building data collection and machine learning systems. He has great experience in NLP & pattern recognition.
Max was born in Moscow and graduated from Lomonosov Moscow State University as mathematician and programmer. He is involved in data analysis, pattern recognition tasks as well as music and cinema.