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.
Pave Finance, Inc., a New York–based provider of professional wealth management software, announced a seed financing of $14 million on September 5, 2025. The round was oversubscribed, exceeding an initial target of $10 million due to high demand. Reported participation included investments from former executive officers and board members of leading U.S. financial services firms, with some backers left undisclosed.
The company will use the new capital to accelerate product development, support the commercial rollout of its professional, self-service platform for advisors, and expand engineering and operations. The funding is intended to accelerate innovation, broaden capabilities across portfolio construction and trading, and support continued commercial expansion to bring the platform to more independent advisors.
Pave offers an AI-powered portfolio management platform that converts proprietary quantitative models into a self-service tool for wealth advisors. Core technical components include an alpha scoring algorithm, an optimization engine, and integrated trading infrastructure that can execute trades directly. The platform relies on forms of artificial intelligence such as machine learning and predictive analytics to generate buy and sell recommendations as markets shift and to automate ongoing investment management.
The software is positioned to let advisors customize, personalize and automate portfolio construction while maintaining risk alignment with chosen benchmarks. It supports U.S. wealth advisors in building both equity and multi-asset portfolios, tracks more than 10,000 publicly traded securities globally, and integrates with many major custodians to enable fast onboarding.
Pave reports that the underlying quantitative model that became the platform drove billions in asset management when run by the company’s investment team. That model is claimed to have outperformed the S&P 500 by an average of 285 basis points (2.85 percentage points) per year over the last 15 years. The platform is deployed to independent advisors managing, in aggregate, more than 60,000 accounts with over $18 billion in client assets.
The company highlights that wealth advisors typically spend an average of 18 hours a week managing portfolios. That time burden can prevent advisors from scaling without sacrificing client customization. Pave’s platform aims to save advisors time, enable personalization at scale, enhance returns and help minimize volatility by automating routine portfolio construction and rebalancing tasks while allowing for client-specific constraints.
Advisors can apply exclusions for sectors, industries or individual assets, factor in existing holdings and tax considerations, and optimize portfolios for each client’s risk tolerance. The platform’s integrations with custodial systems are designed to support fast onboarding and a smooth workflow from portfolio recommendation to trade execution.
Pave is led by Chief Executive Officer Christopher Ainsworth. The leadership team collectively brings over 200 years of experience across major financial institutions and technology companies, with backgrounds that include firms such as Goldman Sachs, Morgan Stanley, Bank of America, Merrill Lynch, J.P. Morgan, Fidelity and several hedge funds, plus technology experience from companies including Google, Apple, Meta, Amazon, Wealthfront, DriveWealth and E-Trade. Company representatives framed the funding as validation of market acceptance and advisor adoption, and said the capital will help accelerate commercial momentum.
The seed round closed with $14 million raised, surpassing the initial $10 million target because of strong investor demand. Reported investors included former senior personnel from major U.S. financial services firms; some backers were not publicly disclosed. The announcement was distributed in early September 2025, with coverage appearing on September 4–5, 2025 in industry reporting and round-up summaries.
The funding positions Pave to push its AI-driven, institutional-grade portfolio tool more broadly into the independent-advisor market. By combining algorithmic signals, optimization, and trading infrastructure in a single platform, the company aims to reduce the time advisors spend on portfolio management while enabling more customized outcomes for clients at scale.
Pave raised $14 million in a seed financing round announced on September 5, 2025. The round was oversubscribed, surpassing an initial $10 million target.
The funds will go toward product development, expanding engineering and operations, accelerating the commercial rollout of the platform, and broadening the company’s capabilities and integrations.
The platform converts quantitative investment models into a self-service tool for advisors. It uses machine learning and predictive analytics to score opportunities, optimize portfolios, generate trade recommendations, and execute trades directly through integrated trading infrastructure.
The platform is deployed to independent investment advisors that manage more than 60,000 accounts and over $18 billion in client assets in aggregate.
The company reports that its standard model outperformed the S&P 500 by about 285 basis points per year over the past 15 years and that the system tracks over 10,000 publicly traded securities globally.
Yes. Advisors can exclude sectors or assets, account for existing holdings and tax considerations, and optimize for individual client risk tolerances.
Reported backers included former executive officers and board members of major U.S. financial services firms; some investors were not publicly disclosed.
| Feature | Details |
|---|---|
| Funding | $14 million seed round, oversubscribed (initial $10M target) |
| Primary use of funds | Product development, commercial rollout, engineering and operations expansion |
| Core technology | Alpha scoring algorithm, optimization engine, trading infrastructure using machine learning and predictive analytics |
| Target users | Independent wealth and investment advisors |
| Scale | Deployed across advisors managing 60,000+ accounts and $18B+ in client assets |
| Market coverage | Tracks 10,000+ publicly traded securities globally; supports equity and multi-asset portfolios |
| Customization | Exclusions by sector/asset, tax-aware adjustments, holdings-aware optimization, risk-aligned benchmarks |
| Onboarding & integration | Integrates with major custodians to enable fast onboarding and automated trading |
| Leadership | CEO Christopher Ainsworth; leadership with 200+ years combined experience across major finance and tech firms |
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