MetaDialog

What is MetaDialog?

MetaDialog is an AI tool that helps businesses build conversational interfaces, with a strong focus on data privacy and compliance. It consists of two main products:

• SMB AI Support Platform — automates customer support conversations.
• Enterprise AI Support Platform — integrates Generative AI into everyday business operations.

MetaDialog lets you deploy AI solutions on your own servers, so sensitive business data stays within your systems and remains compliant with regulations like GDPR. You can also build custom Large Language Models trained securely on your own data.

The platform offers language models with up-to-date knowledge, fast setup, and integration with existing support software, databases, and CRMs. Answers are designed to be accurate, compliant, and aligned with your company’s internal policies.

Who created MetaDialog?

MetaDialog was founded by Eliyahu, a self-taught software engineer with a strong engineering background, and Andrey, an experienced developer. The company’s core focus is data privacy, compliance, and AI solutions tailored to specific business needs.

What is MetaDialog used for?

• Automating customer support chats with instant, compliant responses
• Supporting customers in multiple languages
• Building a custom on-premises language model in about a month
• Keeping AI models up to date with current information
• Advanced search functionality
• Integrating with existing support systems and CRMs
• Deploying on-premise to guarantee data privacy and compliance

It serves a range of industries, including finance, government, retail, SaaS, and healthcare.

Real-world examples

• Scaling customer support for Africa’s largest marketplace
• Improving customer support at MacPaw with advanced chatbot solutions
• Making customer support more efficient with AI, as seen in Fozzy’s experience

Key takeaways

MetaDialog is a fit for businesses that want to automate customer support or bring Generative AI into their workflows without compromising on data privacy. On-premise deployment, custom language models, and compliance-focused design are its distinguishing features.