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.
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.
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, 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."
We've
partnered with @engine__ai
on an AI-powered platform supporting the development of scalable,
enterprise-grade generative AI applications.
Read how
this will revolutionize how firms approach trading decision-making and
execution performance. https://t.co/aio2UKT6zb
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.
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, 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."
We've
partnered with @engine__ai
on an AI-powered platform supporting the development of scalable,
enterprise-grade generative AI applications.
Read how
this will revolutionize how firms approach trading decision-making and
execution performance. https://t.co/aio2UKT6zb
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.
FCA Hands BGC the Keys to EUR and GBP Benchmark Pricing
Hannah Hill on Innovation, Branding & Award-Winning Technology | Executive Interview | AXI
Hannah Hill on Innovation, Branding & Award-Winning Technology | Executive Interview | AXI
Recorded live at FMLS:25, this executive interview features Hannah Hill, Head of Brand and Sponsorship at AXI, in conversation with Finance Magnates, following AXI’s win for Most Innovative Broker of the Year 2025.
In this wide-ranging discussion, Hannah shares insights on:
🔹What winning the Finance Magnates award means for AXI’s credibility and innovation
🔹How the launch of AXI Select, the capital allocation program, is redefining industry standards
🔹The development and rollout of the AXI trading app across multiple markets
🔹Driving brand evolution alongside technological advancements
🔹Encouraging and recognizing teams behind the scenes
🔹The role of marketing, content, and social media in building product awareness
Hannah explains why standout products, strategic branding, and a focus on innovation are key to growing visibility and staying ahead in a competitive brokerage landscape.
🏆 Award Highlight: Most Innovative Broker of the Year 2025
👉 Subscribe to Finance Magnates for more executive interviews, industry insights, and exclusive coverage from the world’s leading financial events.
#FMLS25 #FinanceMagnates #MostInnovativeBroker #TradingTechnology #FinTech #Brokerage #ExecutiveInterview #AXI
Recorded live at FMLS:25, this executive interview features Hannah Hill, Head of Brand and Sponsorship at AXI, in conversation with Finance Magnates, following AXI’s win for Most Innovative Broker of the Year 2025.
In this wide-ranging discussion, Hannah shares insights on:
🔹What winning the Finance Magnates award means for AXI’s credibility and innovation
🔹How the launch of AXI Select, the capital allocation program, is redefining industry standards
🔹The development and rollout of the AXI trading app across multiple markets
🔹Driving brand evolution alongside technological advancements
🔹Encouraging and recognizing teams behind the scenes
🔹The role of marketing, content, and social media in building product awareness
Hannah explains why standout products, strategic branding, and a focus on innovation are key to growing visibility and staying ahead in a competitive brokerage landscape.
🏆 Award Highlight: Most Innovative Broker of the Year 2025
👉 Subscribe to Finance Magnates for more executive interviews, industry insights, and exclusive coverage from the world’s leading financial events.
#FMLS25 #FinanceMagnates #MostInnovativeBroker #TradingTechnology #FinTech #Brokerage #ExecutiveInterview #AXI
Executive Interview | Dor Eligula | Co-Founder & Chief Business Officer, BridgeWise | FMLS:25
Executive Interview | Dor Eligula | Co-Founder & Chief Business Officer, BridgeWise | FMLS:25
In this session, Jonathan Fine form Ultimate Group speaks with Dor Eligula from Bridgewise, a fast-growing AI-powered research and analytics firm supporting brokers and exchanges worldwide.
We start with Dor’s reaction to the Summit and then move to broker growth and the quick wins brokers often overlook. Dor shares where he sees “blue ocean” growth across Asian markets and how local client behaviour shapes demand.
We also discuss the rollout of AI across investment research. Dor gives real examples of how automation and human judgment meet at Bridgewise — including moments when analysts corrected AI output, and times when AI prevented an error.
We close with a practical question: how retail investors can actually use AI without falling into common traps.
In this session, Jonathan Fine form Ultimate Group speaks with Dor Eligula from Bridgewise, a fast-growing AI-powered research and analytics firm supporting brokers and exchanges worldwide.
We start with Dor’s reaction to the Summit and then move to broker growth and the quick wins brokers often overlook. Dor shares where he sees “blue ocean” growth across Asian markets and how local client behaviour shapes demand.
We also discuss the rollout of AI across investment research. Dor gives real examples of how automation and human judgment meet at Bridgewise — including moments when analysts corrected AI output, and times when AI prevented an error.
We close with a practical question: how retail investors can actually use AI without falling into common traps.
Brendan Callan joined us fresh off the Summit’s most anticipated debate: “Is Prop Trading Good for the Industry?” Brendan argued against the motion — and the audience voted him the winner.
In this interview, Brendan explains the reasoning behind his position. He walks through the message he believes many firms avoid: that the current prop trading model is too dependent on fees, too loose on risk, and too confusing for retail audiences.
We discuss why he thinks the model grew fast, why it may run into walls, and what he believes is needed for a cleaner, more responsible version of prop trading.
This is Brendan at his frankest — sharp, grounded, and very clear about what changes are overdue.
Brendan Callan joined us fresh off the Summit’s most anticipated debate: “Is Prop Trading Good for the Industry?” Brendan argued against the motion — and the audience voted him the winner.
In this interview, Brendan explains the reasoning behind his position. He walks through the message he believes many firms avoid: that the current prop trading model is too dependent on fees, too loose on risk, and too confusing for retail audiences.
We discuss why he thinks the model grew fast, why it may run into walls, and what he believes is needed for a cleaner, more responsible version of prop trading.
This is Brendan at his frankest — sharp, grounded, and very clear about what changes are overdue.
Elina Pedersen on Growth, Stability & Ultra-Low Latency | Executive Interview | Your Bourse
Elina Pedersen on Growth, Stability & Ultra-Low Latency | Executive Interview | Your Bourse
Recorded live at FMLS:25 London, this executive interview features Elina Pedersen, in conversation with Finance Magnates, following her company’s win for Best Connectivity 2025.
🔹In this wide-ranging discussion, Elina shares insights on:
🔹What winning a Finance Magnates award means for credibility and reputation
🔹How broker demand for stability and reliability is driving rapid growth
🔹The launch of a new trade server enabling flexible front-end integrations
🔹Why ultra-low latency must be proven with data, not buzzwords
🔹Common mistakes brokers make when scaling globally
🔹Educating the industry through a newly launched Dealers Academy
🔹Where AI fits into trading infrastructure and where it doesn’t
Elina explains why resilient back-end infrastructure, deep client partnerships, and disciplined focus are critical for brokers looking to scale sustainably in today’s competitive market.
🏆 Award Highlight: Best Connectivity 2025
👉 Subscribe to Finance Magnates for more executive interviews, industry insights, and exclusive coverage from the world’s leading financial events.
#FMLS25 #FinanceMagnates #BestConnectivity #TradingTechnology #UltraLowLatency #FinTech #Brokerage #ExecutiveInterview
Recorded live at FMLS:25 London, this executive interview features Elina Pedersen, in conversation with Finance Magnates, following her company’s win for Best Connectivity 2025.
🔹In this wide-ranging discussion, Elina shares insights on:
🔹What winning a Finance Magnates award means for credibility and reputation
🔹How broker demand for stability and reliability is driving rapid growth
🔹The launch of a new trade server enabling flexible front-end integrations
🔹Why ultra-low latency must be proven with data, not buzzwords
🔹Common mistakes brokers make when scaling globally
🔹Educating the industry through a newly launched Dealers Academy
🔹Where AI fits into trading infrastructure and where it doesn’t
Elina explains why resilient back-end infrastructure, deep client partnerships, and disciplined focus are critical for brokers looking to scale sustainably in today’s competitive market.
🏆 Award Highlight: Best Connectivity 2025
👉 Subscribe to Finance Magnates for more executive interviews, industry insights, and exclusive coverage from the world’s leading financial events.
#FMLS25 #FinanceMagnates #BestConnectivity #TradingTechnology #UltraLowLatency #FinTech #Brokerage #ExecutiveInterview
In this video, we take an in-depth look at @BlueberryMarketsForex , a forex and CFD broker operating since 2016, offering access to multiple trading platforms, over 1,000 instruments, and flexible account types for different trading styles.
We break down Blueberry’s regulatory structure, including its Australian Financial Services License (AFSL), as well as its authorisation and registrations in other jurisdictions. The review also covers supported platforms such as MetaTrader 4, MetaTrader 5, cTrader, TradingView, Blueberry.X, and web-based trading.
You’ll learn about available instruments across forex, commodities, indices, share CFDs, and crypto CFDs, along with leverage options, minimum and maximum trade sizes, and how Blueberry structures its Standard and Raw accounts.
We also explain spreads, commissions, swap rates, swap-free account availability, funding and withdrawal methods, processing times, and what traders can expect from customer support and additional services.
Watch the full review to see whether Blueberry’s trading setup aligns with your experience level, strategy, and risk tolerance.
📣 Stay up to date with the latest in finance and trading. Follow Finance Magnates for industry news, insights, and global event coverage.
Connect with us:
🔗 LinkedIn: /financemagnates
👍 Facebook: /financemagnates
📸 Instagram: https://www.instagram.com/financemagnates
🐦 X: https://x.com/financemagnates
🎥 TikTok: https://www.tiktok.com/tag/financemagnates
▶️ YouTube: /@financemagnates_official
#Blueberry #BlueberryMarkets #BrokerReview #ForexBroker #CFDTrading #OnlineTrading #FinanceMagnates #TradingPlatforms #MarketInsights
In this video, we take an in-depth look at @BlueberryMarketsForex , a forex and CFD broker operating since 2016, offering access to multiple trading platforms, over 1,000 instruments, and flexible account types for different trading styles.
We break down Blueberry’s regulatory structure, including its Australian Financial Services License (AFSL), as well as its authorisation and registrations in other jurisdictions. The review also covers supported platforms such as MetaTrader 4, MetaTrader 5, cTrader, TradingView, Blueberry.X, and web-based trading.
You’ll learn about available instruments across forex, commodities, indices, share CFDs, and crypto CFDs, along with leverage options, minimum and maximum trade sizes, and how Blueberry structures its Standard and Raw accounts.
We also explain spreads, commissions, swap rates, swap-free account availability, funding and withdrawal methods, processing times, and what traders can expect from customer support and additional services.
Watch the full review to see whether Blueberry’s trading setup aligns with your experience level, strategy, and risk tolerance.
📣 Stay up to date with the latest in finance and trading. Follow Finance Magnates for industry news, insights, and global event coverage.
Connect with us:
🔗 LinkedIn: /financemagnates
👍 Facebook: /financemagnates
📸 Instagram: https://www.instagram.com/financemagnates
🐦 X: https://x.com/financemagnates
🎥 TikTok: https://www.tiktok.com/tag/financemagnates
▶️ YouTube: /@financemagnates_official
#Blueberry #BlueberryMarkets #BrokerReview #ForexBroker #CFDTrading #OnlineTrading #FinanceMagnates #TradingPlatforms #MarketInsights
