Pressmeddelande -
Batonics AB Acquires Majority Stake in Lotus Field Analytics, Expanding to Retail Investment AI-Powered Analysis Engines
Batonics AB, the Swedish investment analysis engines firm, has entered into an agreement to acquire a major stake in Lotus Field Analytics (LFA), marking a significant expansion into the retail investment sector. This strategic acquisition combines Batonics' institutional-grade AI analytics capabilities with LFA's retail-focused investment tools.
The acquisition aims to integrate Batonics' technology and engine expertise with LFA's retail investment tools, creating a comprehensive suite of AI-powered investment analysis tools accessible to both institutional and retail investors. This combination will enable tapping into the synergy between both tech suites, allowing retail investors to leverage institutional-grade analytics for investment allocation, tracking, and opportunity identification.
"The first step is to provide retail investors, through brokerage and other distribution partners, a suite of features that are simple and intuitive, but also emulate professional investment tools like advanced screening, scenario modeling, portfolio optimization, and backtesting capabilities," said Ahmed AlNomany, CEO of Batonics. "Through partnerships with brokerages and digital investment platforms, we'll deliver analytics that empower smarter investment decisions across both traditional securities, and in the near future, retail real estate markets."
“Through the collaboration with Batonics, Lotus Field Analytics gains access to a new market segment as well as increased resources for powering the tech development going forward. I am very excited to see how we together can be a game changer within fintech, financial analysis and generative AI”, said Jan Abrahamsson, Chairman of Lotus Field Analytics.
The company plans to announce distribution partnerships with major brokerages and investment platforms in the coming months, with the first products expected to launch by Q2 2025.
Kategorier
- asset management
- funds
- ai
- investment analysis