As artificial intelligence moves from experimentation to implementation across financial services, wealth management is emerging as one of the last major sectors to undergo meaningful technological change. London-based WealthAi is positioning itself at the centre of this shift, building an AI-native operating system designed specifically for wealth managers, private banks and family offices.
Founded in 2023, the company is addressing a long-standing problem in the industry: fragmented systems, manual workflows and rising operational complexity at a time when clients expect faster, more personalised service.
What WealthAi does
WealthAi is developing a modular AI operating system that replaces spreadsheet-driven processes and disconnected tools with a single, intelligent workflow layer. Rather than offering point solutions, the platform sits across front, middle and back-office functions, allowing firms to deploy AI-driven workflows without replacing their core infrastructure.
At the centre of the platform is WealthAi Assistant, an agent-based interface that orchestrates tasks across systems based on user role and context. The assistant supports day-to-day activities for advisers, compliance teams and operations staff, pulling in data from multiple sources and automating regulated processes end to end.
The OS combines deterministic workflows for compliance-sensitive tasks with specialised AI agents that support suitability checks, CRM automation, investment research and portfolio construction. Firms can adopt individual modules and expand over time, reducing the risk and disruption typically associated with large technology overhauls.
Why wealth management needs an AI-native approach
Wealth managers often rely on more than ten separate systems to manage client relationships, portfolios, compliance and reporting. Data is frequently duplicated or manually re-entered, increasing costs and operational risk while limiting the ability to deliver timely insights to clients.
WealthAi is built on the premise that AI must be embedded at the core of operations rather than layered on top of legacy software. By creating a shared data layer and integrated workflows, the platform aims to help firms scale without adding headcount, improve regulatory confidence and free advisers to focus on higher-value client work.
This approach reflects a broader shift in financial services, where firms are moving away from standalone AI tools towards integrated platforms that reduce vendor complexity and improve return on investment.
Leadership and founding team
WealthAi was founded by Jason Nabi, who serves as CEO. Nabi is a seasoned FinTech operator with experience launching and scaling platform businesses for major institutions including BNP Paribas and blockchain infrastructure provider Paxos. His background spans product, partnerships and regulated financial environments, shaping WealthAi’s focus on compliance-ready automation.
He is joined by co-founder Paul de Gruchy, who has held senior roles across global financial institutions and industry bodies. The leadership team brings deep domain knowledge of wealth management operations, regulatory requirements and enterprise software adoption.
Funding history and investors
WealthAi has raised a total of €837k in pre-Seed funding to date. The initial round was led by Fuel Ventures and Founders Factory, two investors with a strong track record in backing early-stage FinTech and enterprise software companies in the UK.
The funding is being used to accelerate product development, expand integrations with established data and analytics providers, and support early customer deployments. It also reflects growing investor confidence in AI-native infrastructure plays within regulated financial services.
While modest in size compared to later-stage WealthTech rounds, the pre-Seed aligns with a broader European trend in which early capital is flowing towards platforms that solve operational bottlenecks rather than consumer-facing investment apps.
Product architecture and integrations
WealthAi’s platform integrates with established financial data and service providers including Morningstar, Capital Economics, MDOTM, PlannerPal and Axyon. It is also developing data aggregation capabilities that will enable access to data from more than 200 custodian banks, supporting end-to-end workflows across the wealth management stack.
The OS includes a marketplace of pre-integrated services coordinated by AI agents. This allows processes such as client onboarding, suitability assessments, portfolio monitoring and reporting to run as a single connected system rather than a series of manual handoffs.
Clients typically begin by deploying one or two modules, such as compliance automation or CRM intelligence, before expanding adoption across additional workflows. This incremental model is designed to lower barriers to adoption while demonstrating clear operational value.
Market context and growth outlook
Across Europe, investment in AI-enabled financial software continues despite a more selective funding environment. WealthTech platforms in France, the UK and the Nordics have raised significant capital to modernise wealth management, analytics and advisory workflows.
Within this landscape, WealthAi is targeting a specific gap: the absence of an AI-first operating layer built for the complexity of private banks and family offices. As regulatory pressure increases and client expectations evolve, demand for platforms that combine automation, compliance and personalisation is expected to grow.
The company’s focus on modular deployment, embedded AI and enterprise-grade governance positions it to benefit from this shift as wealth managers move from pilot projects to production-grade AI systems.
Looking ahead
WealthAi plans to continue expanding its product suite, deepen integrations across the financial ecosystem and support firms as they transition towards AI-driven operations. By positioning itself as core infrastructure rather than a supplementary tool, the company aims to become a foundational layer in the next generation of wealth management technology.
As the sector enters a new phase of digital transformation, platforms that reduce complexity while improving performance are likely to play a central role. WealthAi’s early traction and focused strategy suggest it intends to be one of them.
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