The AI Operating System for European mid-market wealth management's AI transition

WealthAi is building the AI Operating System for wealth management firms. We are not a point solution. We are a platform that progressively takes over the front office, middle office, and back office of every firm we land.

The wealth management industry is fragmented across dozens of point solutions. Separate tools for compliance, research, advisory, operations, and reporting. Firms spend millions per year stitching them together, maintaining integrations, and training staff on overlapping interfaces.

WealthAi replaces this fragmentation with a single integrated platform powered by purpose-built AI agents. One assistant. Multiple specialised agents. One data layer. One vendor relationship.

We land a firm through compliance. MAR surveillance is a regulatory mandate that creates urgent, budgeted, non-discretionary demand and gets us in the door. From there we expand across the firm's technology stack one agent at a time, layering Research, Investments, Risk, Operations and other agents into the same WAi Assistant interface.

Every vertical gets its AI operating system. Wealth management's is being built now. We're building it for European mid-market firms, 5 to 500 staff, £100M to £20B in AUM, because this is where the gap is widest.

Three target segments. Each has a distinct geography, AUM band, headcount range, initial-user role, expansion path, and decision-maker. Blended ACV is the v2.43 financial model Y1 TCV per tier, weighted to that segment's typical firm size.

Our customer is the mid-market wealth management firm. Family offices, external asset managers, and private banks. Firms with 5 to 500 staff who manage between £100M and £20B in client assets. They are subject to MAR (Market Abuse Regulation) surveillance requirements. They operate across the UK, Switzerland, and Italy as our first three markets.

MAR surveillance is a regulatory mandate. It is urgent, budgeted, and non-discretionary. This is the pain we solve first. Every wealth manager must monitor employee trading and client communications for market abuse risk. Most firms still do this manually, with spreadsheets, email reviews, and quarterly audits. The cost of doing this manually scales with alert volume and headcount. The risk of missing a flag carries financial and regulatory exposure.

Once we are inside a firm with the compliance agent, we expand across the entire wealth management workflow. Research agents support investment decisions. Advisory agents support client meetings. Operations agents support trade execution and reconciliation. The data platform unifies everything. The marketplace connects to the firm's existing tool stack. Within 12 to 18 months of landing, the average client moves from £36K to £67K or more in annual recurring revenue as additional agents are activated.

Nevis ($40M raised), Unique ($53M), and Avantos ($35M) are all credibly funded AI-platform competitors. To replicate the European MAR-compliance wedge specifically, a funded rival would need to assemble four assets in parallel: European regulatory expertise across MAR, MiFID II, and the FINMA and CONSOB equivalents; anchor relationships with compliance officers in regulated mid-market firms; an operator-validated compliance product co-designed with named compliance leaders; and an installed base of reference clients in the segment. The regulatory expertise and the anchor relationships are the long-cycle pieces. They are people problems that capital alone cannot accelerate, and they take quarters to solve before the product-build clock can even start running. The operator co-design takes a minimum of six months once the anchor firms have signed. Reference clients take a quarter on top of that. Building the technology itself is necessary, but it is the shortest of these timelines, and a competitor that has solved the technology has not yet solved the moat.

Our go-to-market is a structured B2B sales funnel that converts qualified prospects into paying customers via a cohort programme, then expands accounts through product-led growth. Each stage has clear ownership, defined activities, and measurable conversion targets.

Wealth management is a closed industry that buys technology by reference. Compliance officers and decision makers at mid-market firms talk to each other before they talk to any vendor, and they prefer to adopt new technology as a peer group rather than as a single bet. The cohort model is built around that behaviour. Saranac signing first as anchor MSA gives the cohort credibility, and the six firms in active commercial discussion (Patronus, JM Finn, Rathbones, Mediobanca, Plurimi, and Alti Tiedemann) give it momentum, with seven of eight target positions now filled. The harder problem is not the product or the price, it is access to the compliance officers themselves, which our team has built over decades of operator and capital markets work and which a funded entrant must assemble before they can begin to sell.

The financial model carries 30% conversion as the base case. We believe we can achieve at least 50%, and that is the target the cohort programme is run against. The first cohort closing through to paying contract will calibrate the assumption.

Once a customer is live on the WAi Assistant with the Compliance Agent, the expansion phase begins. This is where we transform from a compliance vendor into the firm's operating system. The next section shows how we roll out additional agents across the front, middle, and back office.

The funnel above is how WealthAi sells today. The motion changes shape three times before reaching steady state. Founders carry the first cohort, the sales team takes the UK cohort playbook to scale, international cohorts add Milan and Zurich, and from 2029 expansion and product-led adoption inside firms drive most of the growth.

Expansion is driven by operational pull. Every agent returns real hours to a specific team. Compliance saves the MAR team the triage grind. Research frees analysts from manual screening. Advisory gives client-facing advisors their diary back. Once a firm sees one agent work, they want the next.

Each new agent is sold into a customer who already trusts the platform, has the data integration in place, and has seen the value of the first agent. The expansion sale is dramatically faster and cheaper than the original acquisition sale. Customer Success identifies the next agent based on usage patterns and customer conversations. The product itself surfaces the next opportunity by showing adjacent teams what is possible.

A fully expanded WealthAi customer runs their entire firm on the platform. Compliance, advisory, research, operations, reconciliation, and reporting all happen through agents that share data, share context, and share workflows. The firm replaces 8 to 12 separate vendor relationships with one. We become the operating system.

The platform also opens up to the customer. Firms will be able to build their own custom agents on top of WealthAi, tailored to their specific workflows, investment philosophy, or client segments. This turns the platform into an extensible operating system rather than a fixed product. Customers move from buying agents we build, to building the agents they need themselves.

The sales model is built on the funnel and cohort programme above. The founder bootstraps in 2026 then transitions out of day-to-day sales by Q3 as the team scales.

GTM is the major use of seed funds. The hiring sequence after the seed close (June 2026) prioritises:

The seed round funds the team that scales the cohort model from anchor signings to repeatable revenue.

No integration is required up front. The Assistant is productive from the first session against the firm's working data and curated marketplace feeds. Internal systems (CRM, PMS, custody platforms, transaction records) and out-of-library custodians are added incrementally on a per-client basis. The scope-as-you-go model is one reason the cohort closes faster than enterprise sales cycles in this segment.

Four structured waves: UK compliance first, Switzerland and Italy once the model is proven, then deeper agent layering into existing customers before pushing into new markets. Sequence keeps risk low while delivering the client growth in the financial model.

Investors evaluating WealthAi need to understand five things: who buys our product, how we reach them, why we win, what the unit economics look like, and what evidence we have today. This section answers each in turn.