Vivas.AI provides a low-code platform that enables enterprises to integrate various pre-trained AI and machine learning models through APIs, facilitating document processing and data interaction without extensive coding. This approach allows organizations to enhance workflow efficiency and decision-making while maintaining control over their data through flexible deployment options.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises often struggle to integrate and manage various pre-trained AI and machine learning models due to the complexity of APIs and the need for extensive coding. This complexity can hinder workflow efficiency and delay data-driven decision-making. Furthermore, maintaining control over data during AI processing can be challenging with traditional solutions.
Solution
Vivas.AI offers a low-code platform that simplifies the integration of pre-trained AI and machine learning models through APIs, enabling citizen developers to incorporate AI capabilities into their workflows without requiring extensive coding expertise. The platform provides a marketplace to access a wide range of AI models for various use cases across industries. Vivas.AI allows users to customize pre-built models to suit their specific needs, and offers flexible deployment options, including cloud-based SaaS and self-hosting, to ensure data autonomy. With Vivas.AI, organizations can enhance document processing, engage in data conversations, and improve decision-making while maintaining control over their data.
Target Audience
Vivas.AI targets enterprises across various industries, including BFSI, human resources, healthcare, and manufacturing, seeking to enhance their workflows and decision-making processes with AI-driven solutions.
Features
- Low-code platform for integrating AI/ML models via APIs
- Drag-and-drop interface for citizen developers
- Access to a marketplace of pre-trained AI models
- Support for Bring Your Own LLM (ByoLLM), including OpenAI, Azure OpenAI, Cohere, LLAMA2, and Mixtral
- Customizable AI models to fit unique workflow requirements
- Cloud-based SaaS and self-hosting deployment options
- Intelligent Document Processing (IDP) application for extracting information from documents
- Data conversation tools for turning queries into insights