Vivas.AI Overview

Vivas.AI is an enterprise-grade Gen AI platform designed to bring powerful AI capabilities into your workflow. It offers a one-stop marketplace to access a wide range of AI models for various use cases, with options for both cloud SaaS and self-hosted deployments. Its goal is to democratize access to pre-trained AI/ML models for citizen developers by enabling drag-and-drop integration or plug-and-play API connections, while emphasizing data autonomy and customization.

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Key Offerings

• Gen AI-powered document processing, data conversations, and model-driven workflow enhancements
• Leaf IDP for intelligent document processing (extracts key information swiftly and accurately)
• Self-hosting options for data sovereignty and on-premises control
• A marketplace of AI models from multiple providers with easy integration
• Low-code/ no-code friendly: drag-and-drop model integration and API-based plug-and-play
• BYO LLM (Bring Your Own LLM) support: mix and match popular LLMs (OpenAI, Azure OpenAI, Cohere, LLAMA2, Mixtralm, etc.)
• Flexible deployment: cloud-based SaaS or self-hosted deployments to match security and governance needs
• Transparent, affordable pricing aimed at accessibility for enterprises
• Citizen developer readiness to empower non-technical users to innovate with AI

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How Vivas.AI Works

1. Browse or connect AI models from the marketplace.
2. Drag-and-drop integration into your low-code platform or connect via API without heavy coding.
3. Deploy in the cloud or on-premises, depending on your data governance requirements.
4. Use pre-built industry templates and customizable models to accelerate workflows.

Vivas.AI also enables you to pull containers and deploy them anywhere, supporting automated cloud setup on AWS, Azure, and Google Cloud. This flexibility allows rapid integration into diverse environments and systems.

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Deployment & Architecture

• Cloud-based SaaS: hassle-free integration with secure servers; maintenance handled by Vivas.AI.
• Self-hosting: complete data control and customization; deploy in your chosen cloud or on-premises infrastructure.
• BYO LLM: integrate your preferred LLMs into the workflow for tailored performance.
• Automated cloud setup for multi-cloud environments (AWS, Azure, Google).

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Industry and Use Case Coverage

• BFSI: low/no-code connectors and on-prem/offering options for compliant, personalized engagement.
• Human Resources: streamline policy inquiries, onboarding, and personalized content with Gen AI.
• Healthcare: improve operational effectiveness, medical record management, and patient support.
• Manufacturing: optimize production and supply chain operations with AI-driven insights.

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Pricing & Access

• Transparent, affordable pricing designed for enterprises.
• Citizen developer-ready: empower non-technical users to innovate with AI.
• No heavy coding required; plug-and-play AI models streamline integration.

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How to Get Started

• Explore the marketplace to select AI models tailored to your use cases.
• Choose cloud SaaS or self-hosting deployment based on data governance needs.
• Use the drag-and-drop interface or API integration to embed models into your workflows.
• Connect to your data sources and start building intelligent, automated processes.

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Safety & Compliance Considerations

• Data governance is a core capability via self-hosting options and controlled deployment.
• Ensure appropriate usage policies when deploying generative AI models in enterprise contexts.

Core Features

• Self-hosting options for data sovereignty and on-premises control
• Drag-and-drop model integration in a low-code environment
• Plug & Play AI models via API integration
• Bring Your Own LLM (BYO LLM) support (OpenAI, Azure OpenAI, Cohere, LLAMA2, Mixtralm, etc.)
• Flexible deployment: Cloud-based SaaS or Self-hosted
• Automated multi-cloud deployment setup (AWS, Azure, Google)
• Enterprise-ready marketplace of AI models from multiple providers
• Industry-focused templates and use-case accelerators (BFSI, HR, Healthcare, Manufacturing, etc.)
• Affordable, transparent pricing for organizations
• Citizen developer readiness to democratize AI adoption