About Hypi.

Hypi provides a no-code and low-code platform that integrates SQL and NoSQL databases with AI capabilities, allowing users to build and automate applications tailored to their specific workflows. This solution enables users to leverage their data effectively without extensive coding, addressing the challenge of complex application development for non-technical users.

```xml <problem> Developing applications that effectively leverage data often requires extensive coding knowledge and expertise in both SQL and NoSQL databases, creating a barrier for non-technical users. Integrating AI capabilities into these applications further complicates the development process, demanding specialized skills and resources. </problem> <solution> Hypi offers a platform that simplifies application development by integrating SQL and NoSQL databases with AI functionalities, accessible through both no-code and low-code interfaces. This integration allows users to build and automate applications tailored to their specific workflows, regardless of their coding proficiency. The platform empowers users to leverage their existing data and skills, providing the necessary tools to transform data into actionable features and complete applications. By combining the familiarity of SQL, the scalability of NoSQL, and the potential of AI, Hypi enables users to build smarter applications while maintaining control over their data and development process. </solution> <features> - Integrated SQL and NoSQL database support for flexible data management. - No-code and low-code interfaces for accessible application development. - Built-in AI capabilities for intelligent automation and data processing. - Customizable workflows to tailor applications to specific needs. - Tools for building features and crafting entire applications from data. </features> <target_audience> The primary target audience includes non-technical users, data scientists, and developers who need to build data-driven applications without extensive coding or specialized AI knowledge. </target_audience> ```

What does Hypi. do?

When was Hypi. founded?

Hypi. was founded in 2018.

Founded

2018

Employees

4 employees

Find Investable Startups and Competitors

Search thousands of startups using natural language

AI voice (2021+)underground pipe robots energy flexibility software

Start Searching

Hypi.

⚠️ AI-generated overview based on web search data – may contain errors, please verify information yourself! You can claim this account with your email domain to make edits.

Executive Summary

hypi.io 500+

Founded 2018

Funding

No funding information available.

Team (<5)

No team information available.

Company Description

Problem

Developing applications that effectively leverage data often requires extensive coding knowledge and expertise in both SQL and NoSQL databases, creating a barrier for non-technical users. Integrating AI capabilities into these applications further complicates the development process, demanding specialized skills and resources.

Solution

Hypi offers a platform that simplifies application development by integrating SQL and NoSQL databases with AI functionalities, accessible through both no-code and low-code interfaces. This integration allows users to build and automate applications tailored to their specific workflows, regardless of their coding proficiency. The platform empowers users to leverage their existing data and skills, providing the necessary tools to transform data into actionable features and complete applications. By combining the familiarity of SQL, the scalability of NoSQL, and the potential of AI, Hypi enables users to build smarter applications while maintaining control over their data and development process.

Features

Integrated SQL and NoSQL database support for flexible data management.

No-code and low-code interfaces for accessible application development.

Built-in AI capabilities for intelligent automation and data processing.

Customizable workflows to tailor applications to specific needs.

Tools for building features and crafting entire applications from data.

Target Audience

The primary target audience includes non-technical users, data scientists, and developers who need to build data-driven applications without extensive coding or specialized AI knowledge.