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Query Vary is a revolutionary no-code platform that enables IT and professionals to collaboratively develop and train AI, increasing productivity by 30%. The platform supports easy integration with various data sources, provides enterprise-level security, and allows for the involvement of domain experts. With multiple plans catering to individual developers, small teams, growing businesses, and large corporations, Query Vary ensures a tailored AI development experience for any organization.
Get the latest AI workflows to boost your productivity and business performance, delivered weekly by expert consultants. Enjoy step-by-step guides, weekly Q&A sessions, and full access to our AI workflow archive.
No Code Solutions
Enterprise Level Security
Easy Data Integration
Involvement of Domain Experts
Automatic Evaluation
Multi-provider Playground
Chain of Prompt
Function Calling
Role-based Access
Customization Options
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Perfect for developers aiming to integrate AI functionalities without diving into complex coding.
Ideal for small teams and startups looking for basic AI integration and reporting features.
Suitable for businesses in growth phases needing advanced AI capabilities and reporting.
Tailored for large enterprises requiring extensive customization, embedding, and priority support.
Helpful for IT departments aiming to train and manage AI collaboratively with minimal coding.
Beneficial for sector experts to help refine and improve AI models within an organization.
Essential for teams needing high levels of data and information security.
Useful for analysts looking to integrate various data sources effortlessly for AI training.
Great for teams that require around-the-clock support to ensure uninterrupted AI development.
Ideal for project managers overseeing collaborative AI projects without direct coding involvement.
Get the latest AI workflows to boost your productivity and business performance, delivered weekly by expert consultants. Enjoy step-by-step guides, weekly Q&A sessions, and full access to our AI workflow archive.