InData Labs
Fuelling Business with AI and Data Science

Have you ever heard about Neuralink? It is a budding startup company co-founded by Elon Musk that is working on some profound artificial intelligence (AI) integration with the human body. They have developed a chip array of 96 small polymer threads containing 32 electrodes that have to be transplanted into the brain. I know what you are thinking: is this for real? The answer is a resounding yes. Very soon, using this device, you will be able to connect your brain with everyday electronic devices without even touching them.



This is but one example to show that AI has become the toast of every tech-powered business enterprise. Today, business establishments are taking AI to integrate a multitude of transformative opportunities to leverage the value chain. In this background, InData Labs is helping businesses of all sizes to bring their AI projects to success.

Interestingly, InData Labs was founded in 2014 by a video gaming industry veteran Marat Karpeko, who brought years of experience in big data analytics to a new venture and made it a success. Today, the company builds machine learning pipelines and personalised data products. InData Labs helps businesses of all sizes around the world get valuable insights into data, automate repetitive tasks, enhance performance, add AI-driven features, and prevent cost overruns. “For these seven years, we have built a sustainable business based on trust, latest innovation, state-of-the-art technologies, and experience,” states Marat Karpeko, co-founder of InData Labs.

InData Labs has also introduced a tech solution named Pose Estimation API that can integrate into an infrastructure for pose detection. Essentially, it tracks human movement that will enable their clients to enhance their services, create an exceptional customer experience, increase user satisfaction, and boost revenue. The Pose Estimation API solution is feasible and flexible for different application domains such as fitness and wellness, healthcare, and surveillance.

Moving a step further, the company also has expanded its solution for face recognition through Intelligent Face Recognition SDK with a set of cutting-edge face recognition libraries that are wrapped into API and integrated into the client’s infrastructure. This SDK is powered with superior technology powered by machine learning and computer vision that allows real-time, fast, and accurate face detection, face recognition, and face tracking.

What’s more? InData Labs’s face recognition API adds robust algorithms for image processing at higher accuracy. It allows gathering actionable insights from images and video data as well as counting the presence of human faces with precision. Face recognition API leverages the power of hi-tech fuelled by AI and computer vision.

Having already set itself apart with this range of robust solutions and unparalleled business model, InData Labs is now gearing its focus on more enhanced intelligence with AI and big data analytics. Besides, the company is also poised to expand to new markets. The future, hence, seems bright for InData.