Side-by-side comparison of AI visibility scores, market position, and capabilities
Mobile-first platform for fractional investing in single-family rental properties with real-time trading of property shares.
Landa is a New York-based real estate investment app that enables investors to buy and trade fractional shares in single-family rental properties through a mobile-first interface. Landa differentiates from other fractional real estate platforms through its trading functionality — investors can buy and sell property shares on Landa's secondary market at any time, providing liquidity more similar to a stock-trading experience than traditional private real estate investments. Each property on the platform is a separate LLC, and investors receive monthly distributions from rental income proportional to their shares. Landa curates properties across multiple U.S. markets, handling acquisitions, property management, and financial reporting. The company targets a new generation of investors comfortable with mobile-first financial apps who want real estate exposure with the same liquidity and accessibility as stock market investing. Founded in 2020, Landa raised over $33M from investors including MetaProp, The Torch and Menlo Ventures. It competes with Arrived Homes, Fundrise, and RealtyMogul in the retail fractional real estate market.
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.
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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