Fixing Wall Street's AI Problem with Phill Rosen, CEO of Astraeus
About this episode
Dan Nathan interviews Phill Rosen about AI infrastructure in wealth management and the challenges faced by AI companies.
Dan Nathan interviews Phill Rosen, CEO/CTO and co-founder of Astraeus, an AI infrastructure company for wealth management. Rosen recounts his path from college dropout to fintech builder, including Orchard Platform and Even Financial (later MoneyLion Engine), explaining how API-embedded distribution and machine-learning signals improved lending decisioning while navigating regulatory explainability. He argues many “AI companies” mainly deploy or fine-tune others’ models and that value often lies in data pipelines, governance, and deterministic software around AI. Rosen describes Astreus targeting independent RIAs and private-equity roll-ups (from ~$2B to ~$200B AUM) by unifying siloed legacy data, codifying compliance rules, and deploying “digital workers” with 90-day pilots to show operational ROI and enable scalable, auditable agentic workflows. They prefer model portability (often Gemini; testing Kimi 3) to manage cost and data sovereignty, and Rosen weighs whether LLMs commoditize into cloud-like infrastructure as tooling matures. —FOLLOW USYouTube: @RiskReversalMediaInstagram: @riskreversalmediaTwitter: @RiskReversalLinkedIn: RiskReversal Media The financial opinions…
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