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.
New York — Pave Finance, Inc. announced on September 5, 2025 that it has closed a $14 million seed financing round, surpassing its initial target of $10 million after strong investor demand. The extra capital is earmarked to accelerate product development and the commercial rollout of Pave’s professional, AI-powered portfolio management software for wealth advisors.
The oversubscribed round will support faster feature development, expanded trading and custody integrations, and broader commercial expansion. Company statements and coverage indicate the funds will be used to enhance AI and optimization capabilities, expand operations and development teams, and support advisor onboarding at scale.
Reported participants included former executive officers and board members from leading U.S. financial services firms, though some reports noted that backers were not fully disclosed. The round exceeded its $10 million target due to high demand from investors.
Pave’s platform is positioned as a professional, self-service tool for independent investment advisors. It converts quantitative models developed by Pave’s investment team — models that historically guided billions in active asset management — into a cloud-based platform. Core technical components include an alpha scoring algorithm, an optimization engine, and integrated trading infrastructure that can execute trades directly as market conditions change.
The platform uses machine learning and predictive analytics to translate quantitative signals into ongoing portfolio actions, generating buy and sell recommendations, building customized portfolios that align with client objectives, and automating routine investment management tasks while tracking more than 10,000 publicly traded securities globally.
Pave reports that the standard model behind its software outperformed the S&P 500 by an average of 285 basis points (2.85 percentage points) per year over the past 15 years. The company also highlights a time-savings argument: wealth advisors reportedly spend an average of 18 hours per week managing portfolios, and automation can free time and enable scaling without sacrificing client customization.
The platform supports both equity and multi-asset portfolios and allows advisors to tailor portfolios by excluding specific sectors, industries or assets, accounting for existing holdings and tax considerations, and optimizing for individual risk tolerance. It integrates with major custodians and is designed for fast onboarding.
Pave’s software is reported to be deployed to independent advisors who together oversee more than 60,000 accounts and over $18 billion in client assets. The company tracks coverage across thousands of instruments and offers tools intended to help advisors enhance returns, reduce volatility, and personalize outcomes at scale.
Pave is based in New York City and is led by Chief Executive Officer Christopher Ainsworth. The leadership team is described as combining more than 200 years of experience across large financial institutions and technology firms, with prior affiliations that include major banks, brokerage firms, hedge funds and technology companies.
Public summaries indicate the company’s business model is built around multiple revenue streams, but available material does not fully enumerate those streams in detail.
For wealth advisors, the funding and subsequent product acceleration could mean faster access to automation tools that translate institutional quantitative signals into advisor-facing workflows. For the broader wealth management market, the raise signals investor interest in AI-driven tools that seek to balance personalization, automation and execution at scale.
Pave closed a seed round of $14 million, announced on September 5, 2025.
Yes. The round exceeded Pave’s initial target of $10 million due to high investor demand.
Reports identified participation by former executive officers and board members of leading U.S. financial firms. Some coverage noted that full backer lists were not disclosed.
Funds are targeted at product development, commercial rollout, expanding technical and operations teams, and accelerating AI and trading infrastructure improvements.
The platform automates portfolio construction and management using machine learning and predictive analytics. It generates trade recommendations, optimizes portfolios to client objectives, executes trades, and supports customization and constraints set by advisors.
Pave’s software is reported to be used by advisors managing more than 60,000 accounts and over $18 billion in assets.
The service supports equity and multi-asset portfolios and integrates with major custodians for streamlined onboarding and execution.
Pave reports its standard model outperformed the S&P 500 by an average of 285 basis points per year over the past 15 years, according to company disclosures.
| Feature | Description |
|---|---|
| Funding | $14M seed; round was oversubscribed versus a $10M target. |
| Use of proceeds | Product development, commercial rollout, AI and trading infrastructure, team expansion. |
| Core tech | Alpha scoring, optimization engine, trading infrastructure, machine learning and predictive analytics. |
| Coverage | Tracks 10,000+ publicly traded securities; supports equity and multi-asset portfolios. |
| Scale | Deployed to advisors managing 60,000+ accounts and $18B+ in client assets. |
| Location & leadership | New York City base; CEO Christopher Ainsworth; leadership with 200+ years of combined experience across finance and tech firms. |
| Performance claim | Reported outperformance of the S&P 500 by 285 bps per year over 15 years for the standard model behind the software. |
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