Independent wealth advisor platform for high-net-worth families
Freestone is a fee-only wealth management firm built on a Microsoft-centric stack (C#, SQL Server, Azure, ASP.NET) that's now migrating toward cloud infrastructure (Azure Entra ID, SharePoint Online, Power BI, Power Automate). The hiring mix—weighted heavily toward finance and ops roles, with only one engineering position open—suggests internal process automation and client service scaling are priorities over product-led growth. Active projects center on onboarding, advisor recruitment, and CRM workflows, aligned with stated pain points around sourcing pipelines and operational efficiency.
Freestone Capital Management is an independent, fee-only wealth advisor serving select high-net-worth individuals and families since 1999. Based in Seattle, the firm operates across wealth planning, asset management, alternative investments, and portfolio management. Services span wealth protection, growth strategies, and estate transfer planning. The firm employs 51–200 people and is actively scaling finance, operations, and support functions while modernizing its technology infrastructure and client onboarding workflows.
Freestone runs on Microsoft technologies: C#, SQL Server, Azure DevOps, ASP.NET MVC, and SQL Server Reporting Services, with JavaScript/jQuery/Bootstrap on the front end. Currently adopting Azure Entra ID, SharePoint Online, Power BI, and Power Automate.
Key initiatives include new client onboarding process redesign, advisor recruitment and training programs, CRM workflow optimization, AI-powered solutions, and broader process improvement and technology modernization.
Freestone Capital Management's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.