Provides a cloud-native conversational AI platform that integrates with over 30 data sources, including CRM, ERP, and LMS systems, to create personalized chatbots and virtual assistants. It automates customer support, employee interactions, and e-commerce processes, reducing response times, improving engagement, and lowering operational costs while keeping data secure within AWS or Azure environments.
Funding
Funding not disclosed
Founders
Product
Problem
Many organizations struggle to efficiently manage customer support, employee interactions, and e-commerce processes due to siloed data and the inability to create personalized experiences at scale. Traditional methods often lead to slow response times, reduced engagement, and increased operational costs.
Solution
GyataGPT offers a cloud-native conversational AI platform that enables businesses to build AI-powered applications for personalized interactions. The platform integrates with over 30 data sources, including CRM, ERP, HRMS, and LMS systems, to create intelligent chatbots and virtual assistants. By automating customer support, employee engagement, and e-commerce processes, GyataGPT reduces response times and improves overall engagement. The platform's self-hosted deployment ensures data security and compliance within AWS or Azure environments.
Target Audience
GyataGPT targets enterprises across various industries, including e-commerce, customer service, marketing and sales, human resources, healthcare, finance, and education, seeking to enhance customer and employee experiences through conversational AI.
Features
- Integration with over 30 data sources, including Salesforce and Excel, to unify enterprise data
- Support for multiple LLMs, including OpenAI, Amazon Bedrock, and Azure OpenAI Service
- Ability to create personalized product recommendations and engaging customer interactions for e-commerce
- Automation of employee onboarding and HR-related inquiries
- AI-powered helpdesks for 24/7 customer support
- Integration with Learning Management Systems (LMS) for personalized learning experiences
- Secure, self-hosted deployment within AWS or Azure cloud environments
- Scalable architecture to accommodate growing business needs