WealthTechs Inc. introduced client-level investment account data as its sole focus, excluding investment management software or back-office outsourcing.
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Reintroducing WealthTechs: Independent by Design All of our new leads come through referrals, and we hear the same thing surprisingly often: “I’ve never heard of WealthT…
Company
WealthTechs Inc.
Trusted investment account data at scale. We don't just aggregate data. We make it operationally reliable.
- Industry
- Data Infrastructure and Analytics
- Location
- Fort Lauderdale, US
- Company size
- 11–50 employees
About WealthTechs Inc.
Trusted client account data is the foundation of every modern investment platform. WealthTechs helps wealth managers, asset managers, fintechs, and investment platforms aggregate, validate, reconcile, and deliver client investment account data from hundreds of disparate sources into trusted, operationally reliable information. Most firms still rely on custom integrations, legacy feeds, and application-specific data pipelines. Those approaches are expensive to build, difficult to maintain, and poorly suited for today’s operational, analytical, and AI-driven requirements. The deeper problem is that client account data is often tightly coupled to the applications that consume it. When a firm modernizes reporting, performance, reconciliation, revenue management, compliance, analytics, or another business application, it often has to rebuild the underlying data infrastructure too. That creates cost, complexity, operational risk, and unnecessary vendor lock-in. Own your data once. Modernize everything else on your terms. WealthTechs is the independent data layer between investment data sources and the applications that power financial services. By separating the data foundation from the application layer, we give firms the freedom to evolve their technology stack without rebuilding core data infrastructure or becoming dependent on a single software vendor. Our cloud-native platform aggregates, validates, reconciles, and delivers client account data at scale through APIs, OData, files, data lakes, lake-to-lake integrations, and other modern delivery methods — ready to support AI, analytics, reporting, operations, investment platforms, and enterprise applications. By replacing custom integration work with a proven, scalable platform, firms reduce operational risk, lower long-term maintenance costs, and free engineering teams to focus on innovation instead of data plumbing. One trusted data layer. Any investment data source. Every destination.
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