The company announced its launch last week, saying it comes as wealth management companies are trying to capitalize on artificial intelligence (AI) after years of running their businesses with a variety of different systems and tools.
“Wealth management firms have spent years adding systems, workflows, and data sources to address specific needs,” Astraeus Co-Founder and CEO Phil Rosen said in a news release.
“The result is an industry operating on fragmented architecture that limits visibility, creates operational drag, and constrains growth. We built Astraeus to provide a unified infrastructure that understands how a firm actually operates and enables every decision, workflow, and process to benefit from that context.”
According to the release, the core of the Astraeus platform centers around “the semantic layer and ontology,” which “encode the relationships between clients, advisors, accounts, products, fees, policies, and regulatory requirements, and they keep a record of what changed and why.”
Because the firm’s context is modeled before AI touches the data, “outputs are designed to be consistent, explainable, and traceable to their source, reducing the black-box risk that regulated advice cannot accept,” the release said.
Jon Stevenson, co-founder and president of Astraeus, added that while a lot of attention has centered around the newest models and partnership announcements, the more important question is whether a company has the architecture needed for AI to understand its business.
“Models will evolve. New capabilities will emerge,” he said. “The real competitive advantage will come from codifying the intelligence of the firm, including business rules, governance frameworks, and operating context built over time.”
Stevenson and Rosen met while working at MoneyLion, where Stevenson oversaw corporate development and wealth management, and Rosen served as global chief technology officer.
In other artificial intelligence news, PYMNTS wrote last week about research showing that while 70% of consumers are interested in using AI agents for travel planning, and 71% for health and wellness, only 49% would permit an AI agent to actually complete a purchase. Trust in AI platforms to handle those transactions falls to just 3% among people who aren’t regular users of AI.
“Consumers will let AI find the product,” the report added. “Fewer will let it click the buy button.”
