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Nevis raises $70 million for AI wealth management operating system

Nevis closed a $70 million Series B led by EQT Ventures, with Schwab joining as a strategic investor, as the company reports $700 billion in assets on its AI-driven wealth management platform.

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Source-provided image accompanying Nevis raises $70 million for AI wealth management operating system
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A software system that can observe, reason, and take actions to achieve a goal, often using tools and memory.
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What happened

Nevis, a New York-based AI operating system provider for wealth management, closed a $70 million Series B funding round led by EQT Ventures. Charles Schwab joined as a strategic investor, alongside QuantumLight and existing backers Sequoia Capital, ICONIQ, and Ribbit Capital. The company reported that assets on its platform reached $700 billion in 2026, up from $50 billion, with revenue increasing more than 25-fold over the same period.

Nevis, an AI operating system provider for wealth management, has closed a $70 million Series B round led by EQT Ventures, bringing its total funding to $110 million. Charles Schwab joined as a strategic investor, along with QuantumLight, the fund of Revolut founder Nik Storonsky. Existing investors Sequoia Capital, ICONIQ, and Ribbit Capital also increased their commitments.

The company reported that assets on its platform rose to $700 billion in 2026, up from $50 billion, and are currently growing by approximately $75 billion per month. Nevis stated that revenue has increased more than 25-fold over the same period. Its client base includes Focus Financial Partners, IEQ Capital, and United Capital.

The platform integrates CRM, meeting intelligence, financial planning, and custodial workflows. Nevis claims its AI agents have completed over 100,000 operational tasks, allowing advisors to reclaim up to 10 hours per week, hold 30% more prospect meetings, and open accounts in days rather than weeks. Carolina Brochado, partner and head of EQT Ventures, will join the Nevis board.

The funding occurs amid a broader trend of AI adoption in wealthtech. Tandems, formerly SigFig, launched Hamilton, an assistant within its WealthOS platform that handles up to 80% of daily advisor tasks using a Model Harness Optimizer to route tasks to models like Claude, ChatGPT, Copilot, and Gemini. Zeplyn also introduced Zeplyn Workflows, which automates multistep processes like advisor transitions and client onboarding using its Agent Nexus engine.

Source details: investmentnews.com

Why it matters

This funding round signals significant institutional confidence in AI-native infrastructure for the financial services sector, particularly in wealth management. The involvement of major players like Schwab and EQT Ventures suggests that AI agents capable of handling back-office workflows, CRM, and financial planning are becoming central to the operational strategy of large financial institutions. The reported scale of assets under management indicates that these systems are moving beyond pilot programs into core production environments, potentially reshaping how advisory firms manage client interactions and compliance.

The $70 million raise and strategic investment from Schwab validate the commercial viability of AI operating systems in wealth management. This is not merely a software update but a structural shift in how advisory firms manage back-office operations, suggesting that AI agents are becoming essential infrastructure for scaling advisory services.

The reported growth in assets under management ($700 billion) and revenue (25-fold increase) indicates that these AI systems are being deployed at scale in production environments. This moves the narrative from experimental pilots to core business operations, with direct implications for efficiency and client service capacity.

The involvement of major financial institutions like Schwab as strategic investors suggests that AI integration is becoming a competitive differentiator in the wealth management industry. Firms that adopt these systems may gain significant operational advantages in handling compliance, client onboarding, and financial planning.

The SEC’s identification of 'super intelligence' as a 2027 exam priority highlights the regulatory attention on AI in financial services. This funding round and the concurrent launches by competitors like Tandems and Zeplyn underscore the rapid pace of AI adoption in a highly regulated industry, where compliance and audit trails are critical.

Interactive Mechanism

Interactive Mechanism: How It Actually Works

Explore the underlying technology behind this development interactively.

Agent Lifecycle Stage:
1
User Intent & Planning: "Audit customer refund request #4092 and settle payment."
2
Tool Calling: Emits structured JSON call crm_get_transaction(id='4092').
3
Guardrail & Verification:Paused: High-value action requires human operator sign-off.
4
Final Settlement: Refund recorded, email receipt dispatched, and audit log stored.
Core takeaway: An AI agent is not just a language model—it is a closed loop of planning, tool invocation, and environment feedback. Production systems require self-healing retries and strict human approval guardrails.
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What to watch next

Monitor the integration of Nevis’s platform with Schwab’s broader ecosystem and whether other major custodians or broker-dealers adopt similar AI operating systems. Watch for regulatory responses from the SEC regarding the use of AI agents in financial advice and back-office operations, as the SEC has identified 'super intelligence' as a 2027 exam priority. Additionally, observe the competitive landscape as rivals like Tandems and Zeplyn launch similar products for wealth advisors.

Watch for further strategic partnerships or integrations between Nevis and other major financial institutions, as the Schwab investment may signal a broader trend of AI platform consolidation in wealth management.

Monitor regulatory developments from the SEC and other bodies regarding the use of AI agents in financial advice and back-office operations, particularly as the SEC focuses on 'super intelligence' in its 2027 exam priorities.

Observe the competitive dynamics between Nevis, Tandems, and Zeplyn as they all target the same wealth management back-office workflows. The success of these platforms will depend on their ability to integrate with existing custodial systems and meet strict compliance requirements.

Track the actual performance metrics of these AI agents in production environments, as the reported efficiency gains (e.g., 10 hours saved per week) need to be verified against real-world usage and client outcomes.

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