Data science is one of the most crucial aspects for the success of an enterprise.

Undoubtedly, data has become the backbone for businesses, and global companies are quickly adopting data science. The companies are preparing, organizing, developing, and using the data with the help of several data sciences and machine learning tools. Powered by specialized software and real-time analytics systems, big data and analytics cater to numerous benefits for companies worldwide. Emerging data science startups are offering innovative next-generation tools for big data management and analytics. These startups are taking a variety of approaches to transform the data science industry and its branches. In this article, we have listed the top data science startups that business leaders should look out for in 2022.

CropIn: CropIn is a leading provider in terms of interpolating the SaaS model with the agricultural sector. Keeping the challenges faced by the agrarian business in mind, CropIn started providing solutions that revolve around financial analytics, weather foresight, data interpretation, satellite monitoring, geo-tagging, AI, and big data analytics, to name a few. The company’s ultimate mission is to make every farm traceable.

Firebolt: Firebolt is a startup company that improves cloud data warehousing platforms for fast and efficient analytics. Its SaaS solution provides fast query performance as well as combines simplicity, elasticity, and the low cost of the cloud with the innovation of analytics. It is specially built for AWS and with an efficient SQL query engine that separates storage and computes, allowing users to create multiple isolated resources on the same database.

Lymbyc: The startup has a dedicated team of intellectual data scientists and analysts who have developed robust analytical tools driven by advanced technologies. The primary focus of this advanced data science setup is to enforce a practical and optimized decision-making system for business leaders so that they can structure business foresight using business intelligence through NLP data inputs.

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InCountry: InCountry is a data residency-as-a-service platform that enables global data compliance for international business. The platform securely stores, processes, and regulates business data in its country of origin, helping multinationals scale by providing easy integration within ten minutes. The company was founded in 2019 with headquarters in San Francisco with operations in 65 other countries.

3LOQ Labs: 3LOQ enables brands and retailers to understand individual customers’ behaviors, based on past action and context, using its advanced machine learning algorithms. 3LOQ strengthens money and asset management systems in terms of digital banking services so that the end customers can get streamlined and personalized communication.

CloudNine AI: CloudNine uses code-free AI-driven data management for healthcare enterprises removing the burden of coding for engineers solving the interoperability issues between EMR and the EHR systems without creating a query. The startup was founded in 2019 and is optimized for predictive analytics and cloud security.

Razorthink: Razorthink was established as an emerging enterprise providing AI solutions. Funded by individual investors, the company targets adept computing through a distinct accumulation of AI optimization, automation, dynamic models, and data science tools. Razorthink has a team of more than 100 professionals who are relentlessly supporting small and big businesses to optimize AI-based customer services, risk management, fraud detection, and other services.

SweetData.io: SweetData.io is a data marketplace allowing to search, buy, sell, and download datasets aimed for machine learning and big data purposes. It provides a way to connect people who have their data stored with others developers and industries, that need this data to build AI applications and systems.

The Math Company: The startup emerged as a collaborative venture for big data analytics specialists, who recognized the demand for long-term Hadoop, big data, and analytics requirements. With more than 50 employees and growing, this emerging data analytics company is using ML, data visualizations, design thinking, and domain expertise to serve its clients.

Zendrive: Zendrive leverages mobile sensor data to provide actionable insights that improve safety for passengers and drivers worldwide. The global transportation industry is evolving, and Zendrive is leading the path to safety in an era of transportation automation and mobile ubiquity.