Groundfloor vs Adept AI

Side-by-side comparison of AI visibility scores, market position, and capabilities

Groundfloor

GrowthPropTech

Real Estate Debt Investing

Real estate debt crowdfunding platform offering short-term, high-yield loans on residential properties to non-accredited investors.

About

Groundfloor is an Atlanta-based real estate lending and investment platform that enables non-accredited investors to participate in short-term real estate debt by investing as little as $10 in fractionalized loans on residential fix-and-flip and new construction projects. Borrowers — real estate investors and developers — receive fast bridge loans for acquisition and renovation, while retail investors earn interest rates typically ranging from 8-15% on 6-18 month loan terms. Groundfloor was the first company to receive SEC qualification under Regulation A+ to offer real estate debt investments to non-accredited investors, making it a pioneering platform in democratizing real estate credit investing. The company has originated over $1B in loans and has expanded to offer a savings account-like product (Stairs) that provides higher yields than traditional banks through its underlying real estate loan portfolio. Founded in 2013, Groundfloor has raised institutional funding and grown a retail investor base of over 200,000 users. It competes with PeerStreet and RealtyMogul in the real estate crowdfunding debt market.

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Adept AI

EmergingAI Infra

AI Agents

Adept AI raised $415M to pioneer computer-use AI agents; its core research and agent team moved to Amazon in 2024 in a landmark talent acquisition while the company continues developing ACT-1 for enterprise automation.

About

Adept AI was founded in 2022 by a team of former OpenAI, DeepMind, and Google Brain researchers to build AI that can take actions on computers — navigating software interfaces, filling forms, and executing multi-step workflows in any application. Its ACT-1 model demonstrated the ability to control web browsers and desktop applications through natural language instructions, pioneering the computer-use agent paradigm that Anthropic later commercialized with Claude's computer use feature.

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