Join the AI revolution

Why AI

We are riding the wave of the next industrial revolution. A widespread, Artificial Intelligence (AI)-driven boom in growth is restructuring business as we know it today. While early adopters have already reaped the benefits of AI, the rest of the economy is not far behind; according to The Economist, 75% of executives believe that organizations will actively implement AI and machine learning (ML) within the next 3 years.

Moreover, companies adopting AI are set to achieve tremendous growth. According to IDC, Global AI revenues are set to exceed $47 billion by 2020. Moreover, the AI solutions and robots market will grow to $153 billion by the end of the same year (MarTech Today). The mushrooming of artificial intelligence companies all around the world evidences this paradigm shift in the business world.

Nitor is excited to leverage the tremendous potential of AI for your products, solutions, and services.

AI at Nitor

Our sophisticated AI techniques fuse artificial intelligence and business to deliver clear, measurable results.

Nitor is proud to follow an Agile methodology in all offerings. This coordinated, iterative approach ensures maximum collaboration among teams so that important project tasks are completed in parallel. Our expert engineers use the latest advances in AI to craft powerful models of verified database/warehouse data to process not only text (NLP), but also images, speech, and videos.

With this scrupulous manner of execution, you can be assured of shorter development cycles, reduced time to market, and lowered production costs.

Our Offerings
Why Nitor

At Nitor, we craft our offerings by applying the immense power of Artificial Intelligence (AI) for the growth of your business. We use the latest advances in AI to meticulously plan, strategize, and execute customized business solutions. Nitor’s experts have expansive skillsets comprising of IoT, NLP, Predictive Analytics, Big Data, and more that can springboard your business results.


Non-sequential approach that saves time and costs with the concurrent deployment and continuous interaction of data engineers, data scientists, and domain SMEs


Extensive expertise of the Data Science team reinforced by specialists in computer science and mathematics


Assured ability to work with varied data types, including relational, text, hypertext, as well as semi-structured audio and images for audio-signal processing, computer vision, and deep learning


Hands-on experience with frameworks such as TensorFlow and scikit-learn

Our Approach

Our Agile approach saves costs with the concurrent deployment of four core teams: System Analysts, Data Engineers, Data Scientists, and Engineering. The teams collaborate to ensure that the core data science and data engineering work is completed in parallel.

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