Our Innovation Analysts recently looked into emerging technologies and up-and-coming startups working on innovative solutions in the FinTech sector. As there is a large number of startups working on a wide variety of solutions, we want to share our insights with you. This time, you will discover 5 promising big data startups.
Heat Map: 5 Top Big Data Startups in FinTech
Using the StartUs Insights Discovery Platform, covering 1.379.000+ startups & scaleups globally, we looked at innovation in the field of financial technology. For this research, we identified 238 relevant solutions and picked 5 to showcase below. These companies were chosen based on a data-driven startup scouting approach, taking into account factors such as location, founding year, and relevance of technology, among others. Depending on your specific criteria, the top picks might look entirely different.
The Global Startup Heat Map below highlights 5 startups & scaleups developing innovative big data solutions. Moreover, the Heat Map reveals regions that observe a high startup activity and illustrates the geographic distribution of all 238 companies we analyzed for this specific topic.
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Brainergy.AI – Financial Data Processing
The finance sector continuously generates a significant amount of data. Curating, comprehending, and generating insights from such unstructured data is critical to succeeding in the fast-paced financial industry. Big data analytics and artificial intelligence (AI) enable startups to develop financial data processing solutions to manage and understand the large volumes of financial data. This helps FinTech startups manage risks and identify new opportunities.
Canadian startup Brainergy.AI develops turnkey big data solutions for retail banking. The startup’s solution utilizes artificial intelligence and machine learning algorithms to generate and process financial metadata. Brainergy.AI’s self-service AI platform offers recommendations based on insights derived from financial data. This enables a holistic understanding of business segments such as risk, fraud, audit, marketing, sales, service, finance, and operations.
Reg&Tech Solutions – Entity Management
Financial institutions currently use multiple software and databases to manage client data and other transactions. Statutory requirements, such as the legal entity identifier (LEI) number, further influence the way global financial institutions handle customer data. AI, in combination with advanced analytics, provides the necessary support to financial companies. This helps companies implement the various regulatory standards in the industry for efficient entity management.
Swedish startup Reg&Tech Solutions provides Layla, an open big data platform that integrates the information of clients, partners, and various other vendors. The startup imports data from existing systems and sources that hold entity information, comparing information between them. The integrated solution enables financial organizations to identify errors and duplicates to enrich existing entity data with missing information, such as legal entity identifier (LEI), SWIFT, and BIC codes.
FinAi – Multi-Channel Financial Products
Organizations from several industries, including finance, are diversifying the way they sell their products and services. Big data solutions enable financial providers to understand market requirements and customize their offerings accordingly. Startups develop big data solutions to allow emerging FinTech companies to develop multi-channel financial products and services.
Polish startup FinAi develops an eponymous big data FinTech platform that improves client and user experience. FinAi is a plug-and-play solution that simplifies the selling of high-margin loans for banks using a secure, cost-efficient, and digital channel. The platform takes into account behavioral economics to empower their customers to make smarter and faster financial decisions.
Datago Technology – Financial Decision Making
Timely decision making is critical while investing since stock prices fluctuate constantly. Predicting how the market would close every day is essential for investment bankers to optimize profits. Big data and artificial intelligence (AI) provide users with insights, as well as personalized and profitable financial products and services. FinTech startups and scaleups develop data mining and processing solutions that improve financial decision making and, subsequently, profits.
Chinese startup Datago Technology leverages big data and AI to extract and process financial information from unstructured data. The startup enables financial services companies to derive insights from the data and make informed investment decisions. The startup collects data from financial databases, as well as the news, social media discussions, corporate announcements, and analyst research papers to enable profitable decision-making.
Logistics Finance – Financial Logistics Platform
Complex business functions, such as logistics and operations, involve significant workforce and material resources. In the process, they generate vast amounts of data. The analysis of this data creates an opportunity to analyze and optimize such operations. Advanced analytics helps logistics companies reduce costs wherever possible.
Chinese startup Logistics Finance develops a big data financial platform for the logistics industry. The startup integrates information flow, business flow, and logistics through a financial software-as-a-service (SaaS) platform. The startup also offers its clients big data risk control modeling, online data docking of the original property, and risk rating systems. The platform centralizes financial procurement, increases the rate of return. The solution minimizes the risks involved, especially for small and medium enterprises (SMEs).
What about the other 233 solutions?
While we believe data is key to creating insights it can be easy to be overwhelmed by it. Our ambition is to create a comprehensive overview and provide actionable innovation intelligence and enable you to achieve your goals faster. The 5 big data solutions showcased above are promising examples out of the 238 we analyzed for this article. To identify the most relevant solutions based on your specific criteria, get in touch.
