Free
$0Free plan available.
RealAssist AI is an AI-powered solution designed for real estate wholesalers to automate follow-ups, answer calls 24/7, and generate offers instantly. It helps turn cold leads into hot deals by automating tasks such as sending personalized text messages, making AI voice calls, and generating contracts with e-signing capabilities. RealAssist AI aims to streamline the entire wholesale business process from lead acquisition to deal closing.
To use RealAssist AI, import your leads into the platform. The AI will then send messages and make calls to qualify and nurture your leads. When leads are ready to proceed, you will be notified, allowing you to generate and send offers with a single click.
RealAssist AI automates follow-ups, provides 24/7 call answering, and generates instant offers to help you focus on closing deals.
The AI voice agent mimics human conversation to handle complex interactions and book appointments on your behalf.
Yes, RealAssist AI enables you to generate and send contracts with e-signing capabilities instantly, even while you are on a call with a lead.
You can generate various documents, including purchase agreements and assignment contracts.
Free plan available.
Use these comparison pages to understand the trade-offs between the models most relevant to RealAssist AI.
Compare Gemini 1.0 Pro Deprecated and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 1.0 Pro Deprecated and Gemini 2.5 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 2.0 Flash Lite and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 2.5 Flash and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
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