Agentic AI in Wealth Management
7 companies using agentic ai technology in the wealth management sector. Autonomous AI agents that execute actions independently
Directory
Companies by Funding
Magnifi
Conversational AI copilot for portfolio auditing and thematic investment discovery
Bankr
AI crypto asset management via messaging on Discord, Telegram, X
SingularityDAO (SDAO)
AI-managed crypto portfolios (Dynasets)
GIZA / ARMA (Giza Tech + Arma)
Giza builds autonomous/verifiable agents; Arma is their stablecoin yield agent product
Velvet Capital
Intent-based DeFi trading & portfolio OS + “multi-agent AI” framework
ZyfAI
Self-custodial DeFi yield agent; rule-based automation across opportunities
Related
Other AI Technologies in Wealth Management
Related
Agentic AI in Other Segments
Frequently Asked Questions
How is Agentic AI used in wealth management?
Autonomous AI agents that execute actions independently In the wealth management sector, Agentic AI is applied by 7 companies tracked by AIFI Map, with $57M in combined funding. Leading companies include Magnifi (Conversational AI copilot for portfolio auditing and thematic investment discovery); Bankr (AI crypto asset management via messaging on Discord, Telegram, X); SingularityDAO (SDAO) (AI-managed crypto portfolios (Dynasets)).
Which wealth management companies use Agentic AI?
The AIFI directory tracks 7 wealth management companies using Agentic AI, with a combined $57M in funding. Magnifi, Bankr, SingularityDAO (SDAO), GIZA / ARMA (Giza Tech + Arma), Velvet Capital, and 1 more. (Source: AIFI Map directory.)
What is the most funded Agentic AI wealth management company?
Magnifi is the most funded company using Agentic AI in wealth management, with $21M raised. Conversational AI copilot for portfolio auditing and thematic investment discovery Followed by Bankr ($15M).
How does Agentic AI compare to other AI technologies in wealth management?
In the Wealth Management segment, Agentic AI ranks #2 out of 6 AI technologies by adoption, with 7 companies and $57M in combined funding. The most widely adopted technologies in wealth management are Predictive ML (14 companies, $6.7B funded); Agentic AI (7 companies, $57M funded); LLM / NLP (7 companies, $87.1B funded). While Agentic AI focuses on autonomous ai agents that execute actions independently, alternative approaches include Predictive ML, which traditional ml algorithms for classification, regression, and scoring models, and LLM / NLP, which large language models for nlp, chat, document understanding, and text generation.