This article covers WealthAi, a London-based fintech startup, which has raised £724,000 ($1m) in a pre-seed funding round to accelerate development of an AI-native operating system for wealth managers, family offices and private banks. The platform aims to replace fragmented technology stacks and automate front-, middle- and back-office workflows, supporting advisers, compliance teams and operations staff.
WealthAi, a London-based fintech startup, has raised £724,000 ($1m) in a pre-seed funding round to accelerate development of an AI-native operating system for wealth managers, family offices and private banks. The funding will be used to develop a modular platform that aims to replace fragmented technology stacks and automate workflows across front-, middle- and back-office functions.
Wealth management firms often run on a patchwork of systems. WealthAi cites research showing one in three professionals use ten or more disconnected tools, a setup that drives manual rekeying, operational risk and higher running costs. Firms have been reluctant to replace core systems because of cost, complexity and the risk of disrupting client service.
If the platform reduces manual work without requiring wholesale system replacements, it could lower operating costs and allow advisers to focus more time on client-facing activity. That potential is the primary claim behind WealthAi’s pitch to the market and to investors.
WealthAi describes its product as an AI-native operating system built around a central agentic interface, WealthAi Assistant. The Assistant is designed to orchestrate workflows, automate end-to-end tasks and pull relevant systems and data dynamically for advisers, compliance teams and operations staff.
The platform is modular. Early modules highlighted by the company include Suitability, which focuses on regulatory control; CRM Automation, intended to surface and interrogate CRM data; and Investments, which aims to automate workflows from research through portfolio construction and trading. WealthAi also offers a marketplace of pre-integrated services coordinated by AI agents.
Integrations already announced include Morningstar (investment data), Capital Economics (macro research), MDOTM (models), PlannerPal (planning tools) and Axyon (AI-based analytics). The company says it is building a data aggregation capability to link with more than 200 custodian banks to support front-, middle- and back-office use cases.
The pre-seed round was led by Fuel Ventures and Founders Factory.
In the announcement, Mark Pearson, Founder of Fuel Ventures, said:
WealthAi stood out immediately as the first team we’ve met that is entirely focused on this extremely unique customer group, and doing so in an AI-first way. Rather than forcing firms into risky, wholesale system replacements, WealthAi’s modular architecture allows them to adopt individual AI-powered components at a pace that suits both the business and their clients.
In the announcement, Andrea Guzzoni, Sector Director at Founders Factory, said:
As wealth managers move from experimentation to implementation, the return on investment from AI is becoming clearer. By eliminating spreadsheet-driven workflows and automating manual processes, platforms like WealthAi allow firms to scale productivity without increasing operational complexity.
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WealthAi was founded in 2023 by Jason Nabi and Paul de Gruchy. Nabi’s background includes launching and scaling platform businesses for institutions such as BNP Paribas and Paxos; de Gruchy has held senior roles at global financial institutions and industry bodies. The company says the platform went live in Spring 2025 and is already deploying AI-driven modules with wealth management and family office clients.
In the announcement, Jason Nabi, Founder and CEO of WealthAi, said:
WealthAi is built for a new era of wealth management, where AI is not bolted on but embedded at the core of how firms operate. The industry is roughly a year behind legal services in AI adoption. In 2024 there was interest but limited action. That started to change last year, and we believe the timing is right as firms now look to adopt AI to enable scale and improve performance.
The deal sits at the intersection of growing AI interest across financial services and continued pressure on established wealth management technology stacks. The announcement reflects growing interest from fintech investors in tools that address operational inefficiency and regulatory control. Real-world traction will depend on integration depth, data access and firms’ willingness to let AI orchestrate regulated workflows.
London remains a hub for wealth management technology and a testing ground for AI adoption in financial services. If WealthAi’s modular approach reduces migration risk for firms, it could influence how UK and European wealth managers budget for and implement AI projects over the next few years.
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