RIA platform automating advisor workflows with AI and modern infrastructure
Savvy Wealth builds a technology backbone for independent financial advisors, combining a Rails + React stack with AI-powered automation (OpenAI Codex, Gemini, RAG pipelines) to reduce manual work in planning, onboarding, and back-office operations. The hiring mix—engineering-heavy (7) with emerging product (3) and sales (4)—reflects both infrastructure buildout (CI/CD, IaC foundations) and a shift toward advisor-facing AI features; notably, they're replacing QuickBooks, signaling tighter integration of financial workflows into the platform itself.
Savvy Wealth operates a registered investment advisor platform (Savvy Advisors, Inc. is SEC-registered) that serves independent RIAs and family offices. The product layer spans financial planning, tax planning, estate planning, retirement planning, and alternative investment management. The core problem they're solving is the time burden on advisors: high manual work in account onboarding, ongoing client planning, and back-office operations. Their approach is twofold—infrastructure (Rails + React, Datadog, Rippling, Salesforce for CRM) and AI automation (Savvy AI systems including RAG, classification/extraction, and agentic workflows for advisor-side tasks, not client-facing). The company operates from New York, is founder-led (founded 2021), and currently hires across the United States and Brazil.
Core: Ruby on Rails, React, Next.js, GraphQL. Operational: Datadog, NetSuite, Brex, Rippling, Salesforce. AI: OpenAI Codex, Gemini, custom RAG and agentic workflows. Broker integration: Interactive Brokers. They replaced QuickBooks.
AI-powered advisor features, Savvy AI systems (RAG, extraction pipelines, agentic workflows), advisor onboarding automation, back-office workflow automation, lead scoring for advisors, CI/CD and infrastructure-as-code foundations, and M&A integration for acquired wealth managers.
Savvy Wealth'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.