Two former executives from the mobile banking Fintech MoneyLion have secured more than $10 million in funding to launch Astraeus, an artificial intelligence-powered infrastructure platform aimed at wealth management companies.
The New York-based startup seeks to solve longstanding issues of fragmented technology systems that hinder firms in the sector as they increasingly adopt AI tools.
Phill Rosen, who previously served as global chief technology officer at MoneyLion, and Jon Stevenson, who oversaw corporate development and wealth management there, co-founded the company.
The pair first connected during their time at the fintech firm.
Rosen brings experience as a serial entrepreneur whose earlier company was acquired by MoneyLion, while Stevenson has a background in traditional wealth management, including senior roles at Merrill Lynch, Barclays Wealth, and Stifel Financial.Astraeus officially launched its platform on August 6, 2026.
Backers in the funding round include Fintech Collective, F-Prime, Walkabout Ventures, and Plug and Play Ventures.
The capital supports the development and commercialization of a system designed to give AI the specific operational context required within regulated advisory businesses.
Wealth management organizations have historically layered on disparate systems, workflows, and data sources to meet individual needs.
This approach has produced disconnected architectures that reduce visibility, slow operations, and limit expansion opportunities.
Astraeus addresses this by creating a unified foundation that models how a firm truly functions, allowing decisions, processes, and workflows to draw on shared context.
At the core of the technology lies a semantic layer combined with an ontology.
These elements capture the interconnections among clients, advisors, accounts, products, fees, policies, and regulatory obligations.
They also maintain a historical record of changes and the reasons behind them.
By establishing this structured understanding of the firm before AI processes any information, the platform aims to generate results that remain consistent, transparent, and fully traceable to their origins.
This design helps mitigate the opaque “black-box” risks that regulated financial advice cannot tolerate.
The solution is model-agnostic, meaning firms can integrate various AI models suited to particular functions while retaining control over their data, governance frameworks, and decision logic.
It is intended for investment advisory firms, wealth technology platforms, private equity groups, and consulting organizations looking to modernize their underlying systems for AI-driven operations.
Rather than requiring a complete overhaul of existing tools, the platform integrates with current environments to support areas such as client insights, advisor processes, compliance, portfolio management, investment research, and the coordination of AI agents.
Rosen has emphasized that the industry’s accumulated systems have created structural barriers.
Astraeus was built to deliver infrastructure that truly comprehends a firm’s operations so every element can benefit from that knowledge.
Stevenson has noted that while attention often focuses on the newest AI models or high-profile partnerships, lasting advantages will stem from embedding a firm’s accumulated intelligence—its business rules, governance structures, and operational context—into a durable foundation.
As wealth management firms race to harness AI capabilities, platforms like Astraeus highlight the critical need for underlying architecture.
Without it, the potential of advanced models risks being undermined by incomplete or inconsistent data. With its initial funding secured and a product tailored to the demands of a highly regulated industry, the company enters a market eager for practical ways to deploy AI while preserving oversight and accountability.
