IT Brief US - Technology news for CIOs & IT decision-makers
United States
Astraeus launches AI-native wealth platform for firms

Astraeus launches AI-native wealth platform for firms

Fri, 7th Aug 2026 (Today)
Karen Joy Bacudo
KAREN JOY BACUDO Finance Editor

Astraeus has launched an AI-native infrastructure platform for wealth management firms, designed for use inside regulated advisory businesses.

The New York-based company is targeting investment advisory firms, wealth technology platforms, private equity firms and consulting organisations looking to modernise their underlying systems for artificial intelligence.

Astraeus has raised more than USD $10 million from investors including Fintech Collective, F-Prime, Walkabout Ventures and Plug and Play Ventures.

The business was founded by Phill Rosen and Jon Stevenson, who previously worked together at MoneyLion. Stevenson led corporate development and wealth management there, while Rosen was Global Chief Technology Officer.

Both founders have backgrounds in financial technology and wealth management. Rosen previously founded a fintech company later acquired by MoneyLion, while Stevenson has held senior roles at Stifel Financial, Barclays Wealth and Merrill Lynch.

Fragmented systems

The launch addresses a longstanding issue in wealth management: firms often run multiple systems and tools, each holding only part of the information needed to operate the business. Astraeus argues that this fragmented structure becomes a problem when firms try to introduce artificial intelligence into areas that also face regulatory scrutiny.

According to Astraeus, the platform centres on a semantic layer and ontology that map relationships across clients, advisers, accounts, products, fees, policies and regulatory requirements. It also records changes and the reasons for them, intending to produce outputs that can be traced back to source data.

The structure is intended to establish a firm's context before AI models interact with its data. In practice, that means firms can apply artificial intelligence across workflows and decisions while maintaining a clearer audit trail and avoiding systems that produce answers without an obvious basis.

Rosen said the industry's technology build-out over many years had left many firms with disconnected architecture.

"Wealth management firms have spent years adding systems, workflows, and data sources to address specific needs," said Phill Rosen, Co-Founder and Chief Executive Officer of Astraeus. "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."

Model choice

Astraeus said the platform is designed so firms are not tied to a single AI provider. Instead, organisations can choose different models for different functions while retaining control over their data, governance structures and decision rules.

That approach reflects a broader debate in financial services over whether firms should build around one large model provider or create internal structures that allow them to switch tools as the technology changes. In regulated sectors such as wealth management, the issue is not only technical but also operational, because firms must show how decisions were made and what information informed them.

Stevenson said too much attention had gone to model releases and partnership deals rather than the underlying architecture firms need.

"A great deal of attention has focused on the latest models and partnership announcements," said Jon Stevenson, Co-Founder and President of Astraeus. "The more important question is whether a firm has created the architecture necessary for AI to understand its business and unlock value across the entire enterprise. Models will evolve. New capabilities will emerge. The real competitive advantage will come from codifying the intelligence of the firm, including business rules, governance frameworks, and operating context built over time."

Broader market

The launch comes as wealth managers, registered investment advisers, broker-dealers and private banks weigh how to use artificial intelligence in client servicing, compliance, portfolio operations and internal research. Many still rely on combinations of portfolio systems, customer records, reporting tools and compliance software bought at different times for different purposes.

Astraeus said its platform is designed to sit across that existing environment rather than require a wholesale replacement of current systems. It describes the platform as a governed model that brings together data, rules, permissions, relationships and workflows into a single operating layer.

That foundation can then support client intelligence, adviser workflows, compliance processes, investment research and portfolio operations, as well as the orchestration of AI agents inside firms.

With more than USD $10 million in funding and a product aimed at a heavily regulated corner of financial services, Astraeus is entering a market where firms are looking for ways to introduce AI without losing oversight of how their businesses run.