Karsten Wenzlaff, Advisor
August 26th, 2025
July 22, 2026 | NCFA Companies On The Move | Wealth Investing And Trading, Artificial Intelligence And Data, Risk Compliance And Regtech

d1g1t is a Toronto wealthtech company whose enterprise platform brings portfolio management, performance and risk analytics, trading, reporting, billing, compliance and client engagement into one system. The company says more than 90 wealth firms across North America use the platform, representing over C$200 billion in assets across 600,000 accounts, 250,000 clients, 2,000 advisors and 20,000 users. Those assets belong to client firms and their investors; d1g1t supplies the technology rather than managing the money.
Its July 2026 launch of a server built on Model Context Protocol (MCP) connects that governed portfolio data to Claude, ChatGPT, Microsoft Copilot and other compatible AI tools. Advisors can ask questions about households, holdings, performance, exposures and mandate breaches without working through every screen by hand. The launch matters because d1g1t isn’t adding AI to an empty interface. It’s making an established wealth operating system callable by the assistants firms are beginning to use.
Wealth firms rarely replace a core platform for one clever feature. They do it because too many systems, spreadsheets and handoffs have made the business difficult to run. d1g1t sells against that fragmentation. Its platform gives advisors, operations teams, portfolio managers and compliance staff a common set of household, account, portfolio and risk data, then uses the same engine across reporting, trading, billing and client work.
Recent customer decisions show the size of the jobs it is winning. PWL Capital selected d1g1t in March 2026 for integrated portfolio management, trading, reporting, compliance, billing and client engagement, including bilingual delivery. In June, Goodreid Investment Counsel deployed the platform after using its previous system for a decade. Goodreid manages approximately C$900 million. Neither example proves a typical implementation result, but both show d1g1t being trusted with core operating work rather than a peripheral dashboard.
There is another useful clue in the cap table. CI Financial, National Bank’s NAventures, Purpose Financial and FigTree Financial have invested in d1g1t, partnered with it or used its technology. In 2025, RBC selected d1g1t’s analytics engine and made a strategic investment. For a wealth software company, customers that also supply capital can do more than validate the product. They can sharpen product priorities, open distribution and make the platform harder to dislodge once it sits inside important workflows.
The performance and risk engine is the foundation. d1g1t’s founders built their careers in quantitative finance and enterprise risk systems, including at Algorithmics and R2 Financial Technologies. That history matters because high-net-worth portfolios are rarely a neat list of public securities. Wealth firms may need to connect family entities, several custodians, private funds, partial ownership, off-book assets and different reporting rules before an advisor can answer a seemingly simple question. The engine calculates performance, exposure and risk across that structure, while the application layer turns those calculations into daily work.
The integrated workflow is what firms buy. The platform covers portfolio and model management, trading and rebalancing, performance reporting, billing, compliance, document management, business monitoring and a client portal. d1g1t says it supports traditional and alternative assets and works across multi-family offices, independent advisors, broker-dealers, custodians and bank advisor networks. That breadth creates a larger contract opportunity than a single analytics tool, but it also raises the implementation bar: the company has to handle data conversion, integrations, controls and firm-specific operating rules well enough to become the system people actually use.
MCP changes how users reach the platform. Instead of asking an advisor to click through several modules, the server exposes approved d1g1t capabilities to an AI assistant. A user can request a morning brief, summarize an upcoming meeting, check portfolio drift, examine exposures, prepare a report or flag a mandate breach in natural language. AI agents entering governed financial workflows need permission boundaries, traceable actions and reliable source data. d1g1t already organizes much of that underlying context inside the client’s wealth platform, which is more interesting than attaching a general chatbot to a collection of disconnected files.
d1g1t describes the MCP connection as governed. Public materials explain the intended workflows, although named customer deployments, pricing and detailed implementation specifications haven’t yet been released. Those details will show how quickly the product becomes part of daily advisor work and whether it helps expand existing contracts.
d1g1t is selling into a market where data quality, switching risk and regulatory responsibility matter as much as the interface. Its integrated platform gives the company several ways to win, but the field around it is getting more capable.
MCP is becoming a wealthtech connector, not a moat by itself. Canadian wealth platform OneVest launched its own MCP connection in April 2026, giving AI tools access to live wealth data, portfolios, pipeline information and tasks. OneVest’s continuing wealth-platform expansion makes it a particularly relevant Canadian comparison. d1g1t’s case will rest on the depth of its analytics, complex-portfolio support, integrated workflows and enterprise relationships, not simply on supporting an open protocol.
Large platforms are building native advisor assistants. Addepar’s Addison queries permission-aware portfolio data across a platform used by more than 1,400 firms, while Orion’s Denali AI connects portfolio, risk, CRM and planning information with audit controls. InvestCloud is automating meeting preparation and follow-up. These companies arrive with large installed bases and mature integrations. d1g1t doesn’t need to beat every platform everywhere, but it does need to make AI meaningfully better for the complex firms it already serves.
Good AI depends on clean, usable wealth data. Portfolio answers are only as reliable as the account, ownership, transaction and security data underneath them. PureFacts’ work with wealth platforms on data readiness reflects the same commercial reality: firms want automation, but first they need consistent data and clear operating definitions. d1g1t’s single-platform design can reduce some of that fragmentation. Client-specific data mapping and integration work won’t disappear.
Documents remain part of the advisor record. Holdings and performance data tell only part of a client’s story. Agreements, statements, correspondence and planning records also shape advice and compliance. FutureVault’s agentic document intelligence for advisors shows another route into the same workflow. d1g1t includes document management, but specialized providers can compete or partner around the edges of the platform.
The regulated firm still owns the decision. d1g1t is presented as a software provider, not an investment dealer or portfolio manager. Its clients remain responsible for suitability, supervision, books and records, privacy, cybersecurity and third-party oversight. Canadian cybersecurity guidance for registered firms makes vendor controls and incident readiness part of the buying decision. d1g1t’s SOC 2 Type II work is relevant assurance, though firms will still assess the current AI connection, permissions and data handling for their own use.
Enterprise growth can be lumpy. A core wealth platform can produce durable revenue once installed, but sales and implementation cycles are long. Each customer may require integrations, migration, testing and training before the contract reaches full use. d1g1t’s 96% revenue growth from 2021 through 2024 and recent PWL and Goodreid wins show progress; revenue, recurring-revenue mix, retention and implementation economics remain private.
d1g1t has spent years doing the difficult part: organizing complex wealth data and placing the same analytics inside reporting, trading, billing, compliance and client work. Its current scale, recent customer wins and relationships with major Canadian financial institutions give the MCP launch a credible base. The product isn’t asking wealth firms to trust an AI tool with data that sits somewhere else. It connects the assistant to a platform already used to run the business. On the NCFA Financial Innovation Map, that puts d1g1t at a useful intersection of wealth infrastructure, portfolio data, AI interfaces and compliance technology.
What matters next is adoption. Named firms using the MCP server in live advisor workflows, measurable time savings and evidence of larger or stickier contracts would show that natural-language access is becoming a commercial feature rather than a useful demonstration. That is a fair question for every wealth platform now adding agents, not a problem unique to d1g1t.
The Company Intelligence Snapshot below follows the capital, customer relationships and product decisions that brought d1g1t to this point.
d1g1t was founded in Toronto by financial technology veterans Dr. Dan Rosen, Philippe Rouanet and Benoit Fleury. Incubated at the Fields Institute, the company set out to bring institutional portfolio and risk analytics into a single operating platform for wealth firms. By late 2018 it had four customers representing approximately C$13 billion and 5,000 households.
d1g1tToronto wealth-management technology company
FoundationProduct and first enterprise customers
C$9M+Raised across two early rounds led by Purpose Financial
CanadaIndependent wealth firms and portfolio managers
4 FirmsApproximately C$13B and 5,000 households
One PlatformAnalytics and advisor work replace a fragmented stack
d1g1t began with a difficult but valuable wedge: institutional analytics adapted for wealth firms. The founders’ earlier enterprise systems gave the company credibility with buyers who would be trusting it with core portfolio data.
Information notice: Private-company estimates are identified and attributed. Information may change after the stated update date. This content is provided for informational purposes only and does not constitute investment, financial or legal advice.
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