Moment has announced a $75 million Series C round led by Index Ventures, less than a year after raising $36 million in its Series B. The funding comes as the company advances adoption of its AI-driven platform, which integrates trading, portfolio management, and compliance into a single operating system. Index partner Jan Hammer emphasized that leading wealth firms are betting their future on Moment’s architecture, positioning it as a transformative force in investment management.
Founded by Dylan Parker, Moment has rapidly scaled its platform, which is already used by firms managing more than $10 trillion in assets, up from $300 billion just 18 months ago. Clients include Edward Jones, LPL Financial, and Hightower Advisors. The platform’s AI agents can create custom portfolios from natural-language instructions in seconds, while surveillance agents scan thousands of accounts to identify tax, risk, and transition opportunities, translating them into actionable proposals.
Parker highlighted that while financial institutions recognize the need to deploy AI agents, the infrastructure to do so safely has been lacking. Moment’s system was built with a unified data model and regulatory-grade controls, enabling firms to modernize workflows and progressively unlock AI capabilities as governance evolves.
The company competes in a crowded enterprise productivity and AI agent market alongside Glean, Sana, Cursor, Devin, and Manus. Its differentiation lies in full operational execution across multiple enterprise systems rather than prompt-based or single-use support. Customers view Moment as a digital coworker capable of managing workflows and delivering outputs in familiar formats such as spreadsheets, presentations, PDFs, and deployed apps.
While institutions are embracing AI in investment management, consumer adoption remains cautious. Research from PYMNTS Intelligence shows that only about 20% of consumers would allow autonomous AI agents to manage banking activity, reflecting concerns about unauthorized access, data misuse, and the risks of entrusting sensitive financial actions to AI systems.
