Pave’s AI-powered platform automates portfolio construction, optimization and trade execution for advisors.
New York, September 5, 2025
Pave Finance closed a $14 million seed round that exceeded its initial target, securing additional capital to accelerate development and commercial rollout of its AI-powered portfolio management platform for wealth advisors. The funding will support enhanced AI and optimization capabilities, expanded trading and custody integrations, and scaling of operations and onboarding. Pave’s cloud platform converts institutional quantitative models into advisor-facing tools that generate trade recommendations, optimize customized portfolios across 10,000+ securities, and automate routine management. The company reports deployment across advisors overseeing tens of thousands of accounts and billions in client assets.
On September 5, 2025, Pave Finance, Inc. (referred to as Pave) announced it has raised $14 million in an oversubscribed seed financing round. The seed round exceeded its initial target of $10 million due to high demand, with financing support reported from former executive officers and board members of leading U.S. financial services firms. In some coverage, backers were noted as not disclosed.
The new capital is intended to accelerate product development and to support the commercial rollout of Pave’s AI-powered portfolio management platform for wealth advisors. Additional aims include accelerating innovation, expanding capabilities, and supporting the company’s continued commercial expansion as well as expanding operations and development efforts.
Pave is described as a leading provider of wealth management software that enables investment advisors to customize, personalize and automate portfolio construction and management. The core product is an AI-powered portfolio management tool and a professional software platform designed for advisors, also referred to as a self-service platform for advisors.
Key technical components include a alpha scoring algorithm, an optimization engine, and a trading platform with trading infrastructure. The platform uses machine learning and predictive analytics as forms of artificial intelligence to convert quantitative models into actionable, advisor-facing tools.
The software traces its origins to the quantitative models that previously drove billions in asset management for Pave’s investment team, and is positioned to generate buy and sell recommendations as markets shift, execute trades directly, and build customized portfolios aligned with client objectives while maintaining risk in line with chosen benchmarks. It also automates ongoing investment management.
The platform targets a persistent advisor challenge: wealth advisors spend an average of 18 hours per week managing portfolios, which constrains scaling and risks limiting personalization. By providing a self-service, customizable toolset, the platform aims to save advisor time, enhance returns and minimize volatility, while enabling personalization at scale.
Over the long term, the platform’s historical performance is described as having outperformed the S&P 500 by an average of 2.85 percentage points per year over the last 15 years, according to the information circulated with the funding announcement.
The platform is deployed to independent investment advisors that collectively manage more than 60,000 accounts with more than $18 billion in client assets. Pave tracks > 10,000 publicly traded securities globally, supporting equity and multi-asset portfolios for U.S. wealth advisors.
Advisors can use the platform to exclude sectors, industries or assets, account for existing holdings and tax considerations, and optimize for each client’s risk tolerance. The platform integrates with major custodians and is described as enabling fast onboarding.
Pave is described as New York City-based. The CEO is Christopher Ainsworth, and the leadership team is presented as combining over 200 years of experience from gold-standard financial institutions and major technology firms, including names such as Goldman Sachs, Morgan Stanley, Bank of America, Merrill Lynch, J.P. Morgan, Fidelity, and several hedge funds; technology company experience includes Google, Apple, Meta, Amazon, Wealthfront, DriveWealth, and E-Trade.
In commenting on the milestone, the company positioned the funding as a validation of the platform’s market reception, advisor adoption, and the flow of assets into Pave. The financing is described as enabling faster innovation, broader capabilities, and deeper support for advisors seeking to deliver highly personalized investment outcomes at scale.
The seed round was reported in industry coverage, including round-ups that highlighted other fintech funding and product announcements during the period. The announcements emphasize the strategic intent to scale and broaden access to Pave’s AI-driven wealth management tools.
| Feature | Description |
|---|---|
| Funding | Seed financing of $14 million, oversubscribed beyond the $10 million target |
| Platform | AI-powered portfolio management tool for wealth advisors with self-service capabilities |
| Core components | Alpha scoring algorithm, optimization engine, trading platform/infrastructure |
| AI technologies | Machine learning and predictive analytics powering model-to-platform translation |
| Proven track record | Historical performance claim: outperformed the S&P 500 by 2.85 percentage points per year over 15 years |
| Scale | 60,000+ accounts and >$18 billion in client assets across 10,000+ securities |
| Portfolio types | Equity and multi-asset portfolios for U.S. wealth advisors |
| Customization | Ability to exclude sectors or assets, account for existing holdings and taxes, customize risk |
| Integration | Integrates with major custodians and supports fast onboarding |
| Location | New York City-based |
| Leadership | CEO Christopher Ainsworth; leadership team with 200+ years of combined experience across financial and tech firms |
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