Got

Got

Got It AI | Chat with your Data.

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$12.0m

Early VC
Total Funding000k
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Got-it.ai is a cutting-edge technology startup specializing in Natural Language Understanding (NLU) and automation solutions. The company leverages advanced NLU models, specifically those trained by Google on extensive datasets like Wikipedia, to ensure their systems are always up-to-date with the latest web content. This allows Got-it.ai to provide highly accurate and sophisticated language processing capabilities.

The primary market for Got-it.ai includes businesses that require advanced customer service automation, such as large enterprises, service desks, and CRM (Customer Relationship Management) systems. By integrating their AI assistants into various platforms like DialogFlow, PowerAgents, Lex, Rasa, Watson, Slack, Teams, and chat widgets, Got-it.ai helps these businesses automate complex tasks, not just repetitive ones. This significantly improves deflection rates (the rate at which automated systems can handle tasks without human intervention) and reduces operational costs.

Got-it.ai operates on a B2B (business-to-business) model. They provide their technology as a service, allowing companies to embed AI assistants into their existing systems. This service is delivered through a low-code fulfillment engine in the cloud, making it easy for clients to implement and manage. The company makes money by charging subscription fees for access to their AI services and potentially through usage-based pricing models, where clients pay based on the volume of data processed or the number of automated interactions handled by the AI.

In summary, Got-it.ai is revolutionizing the way businesses handle customer interactions and data management by providing state-of-the-art NLU and automation tools that are easy to integrate and manage. Their solutions not only enhance productivity but also significantly cut down on costs by reducing the need for human intervention in routine and complex tasks alike.

Keywords: NLU, AI assistants, automation, low-code, cloud-based, customer service, CRM, enterprise, data integration, cost reduction.

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