AI is just a tech, the value is in data. Applying AI to your data is complex and expensive. Unbody simplifies entire AI development pipeline with a single API, the only API you need to build AI-Native Apps.
Unbody is a powerful platform that serves as a single API to build AI-native applications seamlessly. It simplifies the complex and often costly process of AI development, allowing developers to harness AI capabilities through a straightforward interface. Unbody supports various applications, including chatbots, generative search, data analysis, and automated content generation, providing builders with robust tools to integrate AI into their products effectively.
To start using Unbody, simply choose your preferred AI model, connect your data source, and utilize their GraphQL API or SDKs. A single line of code can initiate generative searches or create custom private chatbots. The platform's user-friendly design allows you to dive directly into your data operations and AI functionalities without needing in-depth AI expertise.
Unbody offers a range of pricing options to support different user needs. For those requiring extensive access and features, subscribing to a paid plan would allow for greater flexibility and capabilities beyond the free offerings. Pricing details can be found on the Unbody website.
Yes, Unbody provides the tools necessary to create a private AI assistant capable of handling a multitude of tasks such as scheduling and data analysis.
No, Unbody is designed for non-AI engineers and those with little programming experience, featuring a near-zero learning curve.
Unbody supports a variety of AI models, covering both popular systems and niche options, ensuring that you are not locked into a single AI provider.
Absolutely! Unbody allows you to connect data from platforms like Google Drive, Microsoft SharePoint, and even local systems, ensuring your data stays where it belongs.
Unbody claims that development capabilities can be reduced to just 4 minutes, allowing for rapid deployment of AI applications compared to traditional development timelines.
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