AI in Financial Services: KX and Engine AI Forge Strategic Partnership

by Tareq Sikder
  • The partnership utilizes KDB.AI and Engine AI expertise to create scalable generative AI applications.
  • Business users can perform real-time financial market searches using natural language queries.
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KX, a vector and time-series data management firm, and Engine AI, an end-to-end data analytics platform, have announced a strategic partnership. This alliance aims to deliver a native, generative AI platform tailored for clients within the global financial services sector.

Addressing the Challenges of Financial Landscape

The business landscape is driven by the escalating volume, velocity, and complexity of data. Firms are increasingly pressured to harness the potential of generative AI. The partnership between KX and Engine AI aims to allow organizations to meet these challenges head-on.

Farhang Mehregani, CEO of Engine AI
Farhang Mehregani, CEO, Engine AI, Source: LinkedIn

By leveraging the capabilities of the KDB.AI vector database and Engine AI's ability to extract actionable insights from extensive multi-source data, the collaboration enables the development of scalable, enterprise-grade generative AI applications.

Farhang Mehregani, the CEO of Engine AI, commented: "We empower our clients to monetize the value of their data with AI-native data analytics applications. Our powerful, open, end-to-end enterprise platform and intuitive Data Analytics Co-pilot are engineered to unlock the full potential of AI and data analytics. KX offers vector and time-series database capabilities, making them the ideal partner for the financial sector."

Ashok Reddy, CEO of KX
Ashok Reddy, CEO, KX, Source: LinkedIn

The partnership aims to transform the approach organizations take toward trading, decision-making, and execution performance. Offering support for advanced use cases such as similarity search, recommendation systems, and pattern matching, the collaboration aims to enhance user engagement, minimize uncertainty and risk, and expedite time to market.

Ashok Reddy, the CEO of KX, noted: "KDB.AI brings time and situational awareness to generative AI applications, while providing a superior developer experience. These capabilities, combined with Engine AI’s expertise in application delivery, is a game-changer for retail and institutional clients looking to benefit from the transformative potential of generative AI. Together, we accelerate our clients’ abilities to address the most complex, high-frequency Financial Services use cases, significantly reducing time to insight from large data."

Features of KDB.AI

KDB.AI offers search capabilities, allowing developers to integrate hybrid similarity, fuzzy, temporal, and real-time search functionalities into their AI-driven applications. It is designed to handle high-speed, time-series data and multi-mode query data processing. Users in the business sector have the capability to perform searches on real-time financial market data using natural language queries.

Moreover, KDB.AI integrates with popular LLMs and machine learning workflows and tools, including LangChain and ChatGPT. Its native support for Python and RESTful APIs ensures that developers can perform common operations using their preferred applications and languages.

KX, a vector and time-series data management firm, and Engine AI, an end-to-end data analytics platform, have announced a strategic partnership. This alliance aims to deliver a native, generative AI platform tailored for clients within the global financial services sector.

Addressing the Challenges of Financial Landscape

The business landscape is driven by the escalating volume, velocity, and complexity of data. Firms are increasingly pressured to harness the potential of generative AI. The partnership between KX and Engine AI aims to allow organizations to meet these challenges head-on.

Farhang Mehregani, CEO of Engine AI
Farhang Mehregani, CEO, Engine AI, Source: LinkedIn

By leveraging the capabilities of the KDB.AI vector database and Engine AI's ability to extract actionable insights from extensive multi-source data, the collaboration enables the development of scalable, enterprise-grade generative AI applications.

Farhang Mehregani, the CEO of Engine AI, commented: "We empower our clients to monetize the value of their data with AI-native data analytics applications. Our powerful, open, end-to-end enterprise platform and intuitive Data Analytics Co-pilot are engineered to unlock the full potential of AI and data analytics. KX offers vector and time-series database capabilities, making them the ideal partner for the financial sector."

Ashok Reddy, CEO of KX
Ashok Reddy, CEO, KX, Source: LinkedIn

The partnership aims to transform the approach organizations take toward trading, decision-making, and execution performance. Offering support for advanced use cases such as similarity search, recommendation systems, and pattern matching, the collaboration aims to enhance user engagement, minimize uncertainty and risk, and expedite time to market.

Ashok Reddy, the CEO of KX, noted: "KDB.AI brings time and situational awareness to generative AI applications, while providing a superior developer experience. These capabilities, combined with Engine AI’s expertise in application delivery, is a game-changer for retail and institutional clients looking to benefit from the transformative potential of generative AI. Together, we accelerate our clients’ abilities to address the most complex, high-frequency Financial Services use cases, significantly reducing time to insight from large data."

Features of KDB.AI

KDB.AI offers search capabilities, allowing developers to integrate hybrid similarity, fuzzy, temporal, and real-time search functionalities into their AI-driven applications. It is designed to handle high-speed, time-series data and multi-mode query data processing. Users in the business sector have the capability to perform searches on real-time financial market data using natural language queries.

Moreover, KDB.AI integrates with popular LLMs and machine learning workflows and tools, including LangChain and ChatGPT. Its native support for Python and RESTful APIs ensures that developers can perform common operations using their preferred applications and languages.

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