AutoQL - Proactive Analytics with Custom Proactive Language Models
Access and analyze data efficiently with AutoQL, a proactive analytics solution that empowers users to make data-driven decisions using custom language models. Utilize the power of proprietary generative AI, natural language database access, and CPU-based inference to streamline data access and drive value for every user.
AutoQL Product Information
What is AutoQL?
AutoQL is a proactive analytics solution designed to simplify data access and streamline analysis through natural language. It offers an API-first approach, enabling businesses to embed it natively within their existing applications. By leveraging proprietary generative AI, AutoQL provides custom language models for organizations' databases, ensuring accurate and efficient data access. With CPU-based inference, the solution significantly reduces operational costs, making it a scalable and cost-effective choice for businesses. Moreover, AutoQL's mobile compatibility and open-source widgets enhance accessibility across various devices and digital spaces. Whether you're a developer looking to integrate AutoQL into existing tools or a user seeking self-service data access, AutoQL offers innovative and customizable solutions to meet your needs.
How to Use AutoQL?
Integrate the API-first AutoQL solution into your existing application or portal, or utilize the AutoQL app for Microsoft Teams to empower users with self-service data access and reporting capabilities. Leverage the open-source widgets such as Data Messenger, Dashboards, and Developer Docs to support an excellent mobile experience and seamless integration with your digital spaces.
Core Features of AutoQL
- API-first approach for seamless integration into existing applications
- Proprietary generative AI for custom language models and efficient data access
- CPU-based inference for scalable and cost-effective solutions
- Mobile compatibility for on-demand data access from any device
- Open-source widgets such as Data Messenger, Dashboards, and Developer Docs
Use Cases of AutoQL
- Enabling self-service data access in existing applications or digital spaces
- Streamlining data access and analysis for business users and non-technical personnel
- Empowering users to make data-driven decisions using natural language queries
FAQ about AutoQL
What are the benefits of implementing AutoQL in our solution?
By implementing AutoQL in your solution, you can expect to boost revenue, attract new users, add value for existing loyal customers, save on costs, leverage your skilled team and internal resources for high-value projects, gain a competitive edge, and keep users engaged in your app.
Can AutoQL be embedded within our existing application?
Yes, AutoQL offers an API-first solution designed for seamless integration into existing applications. It also provides flexible and customizable widgets like Data Messenger and Dashboards for the front end.
How does AutoQL create custom language models for organizations' databases?
AutoQL uses proprietary generative AI to build training data and create new training data during the learning phase, enabling the rapid creation of custom language models for an organization's databases.
Does AutoQL work on mobile devices?
Yes, AutoQL is compatible with mobile devices, allowing business teams and users to access their data on demand from anywhere at any time.
Does AutoQL collaborate with systems integrators and technology partners?
Yes, AutoQL collaborates with innovative systems integrators, professional services providers, and technology partners to reimagine the future of data accessibility across various industries.
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