Jump Raises $80 Million as Wealth Advisors Race to Automate Client Work

Jump Raises $80 Million as Wealth Advisors Race to Automate Client Work

Jump, a two-year-old startup building AI tools for financial advisors, has closed an $80 million Series B round led by Insight Partners, the company announced this week. The funding arrives as wealth management firms face mounting pressure to automate routine client work while advisors juggle larger books of business.

The round—which included F-Prime, Allianz Life Ventures, TIAA Ventures, Peterson Partners, Battery Ventures, Sorenson Capital, Pelion Venture Partners, and Citi Ventures—values the company at an undisclosed amount. Individual investors Hans Tung, Ryan Anderson, and Aaron Skonnard also participated.

For finance chiefs at wealth management firms, Jump's traction offers a window into where advisor productivity dollars are flowing. The platform now serves more than 27,000 financial advisors and is adding roughly 2,000 new users monthly, according to the company. That growth comes as advisory firms grapple with a familiar squeeze: clients expect more personalized service while advisors spend hours on meeting prep, CRM data entry, and follow-up emails.

Jump's software tackles the busywork that eats into client-facing time. The platform offers more than 20 AI-powered features, including automated meeting preparation, note-taking, recap generation, follow-up task creation, and CRM updates. Think of it as an AI chief of staff for advisors who would rather spend time on portfolio strategy than updating Salesforce records.

The company was founded in 2023 by what it describes as "repeat fintech entrepreneurs," though it did not disclose their identities or previous ventures. That pedigree apparently resonated with investors betting that wealth management—long a laggard in technology adoption—is finally ready to hand routine tasks to software.

Parker Ence, Jump's CEO, said the new capital will fund "aggressive" investment in product development as the company pursues what it calls an "AI-native operating system" for advisory firms. The language signals ambitions beyond simple automation. Jump plans to expand into what it describes as "agentic, insight-driven AI capabilities"—systems that don't just execute tasks but proactively surface opportunities, flag risks, and recommend next actions for advisors.

Translation: Jump wants to move from "AI that takes notes" to "AI that tells you which clients to call and why." Whether that vision materializes remains to be seen, but the funding suggests investors believe the market is large enough to support the attempt.

For CFOs evaluating similar tools, Jump's user growth offers a useful benchmark. Adding 2,000 advisors monthly in a fragmented industry suggests the pain point is real and the willingness to pay exists. The question, as always with AI productivity tools, is whether the efficiency gains show up in measurable margin improvement or simply get absorbed by scope creep—advisors taking on more clients rather than working fewer hours.

The participation of corporate venture arms from Allianz, TIAA, and Citi also signals strategic interest. These firms presumably see Jump as either a potential acquisition target or a platform they might integrate with their own advisor networks. Either way, it's a vote that AI-driven advisor tools have moved from experiment to infrastructure.