Chata.ai's AutoQL is an API-first solution that leverages proprietary AI to translate natural language into database query languages. This allows non-technical users to access and analyze data in real time by simply asking questions. AutoQL offers customizable widgets, including Data Messenger and Dashboards, for easy integration into existing software and platforms. It's also available as an app for Microsoft Teams. The platform supports various database query languages and emphasizes data security, with SOC 2 Type II compliance. AutoQL is designed for businesses seeking to streamline data-driven workflows and improve data accessibility.
• real-time data access
• natural language interface
• customizable widgets
• data messenger widget implementation option (2-hour average implementation time), dashboards implementation option (3-4-hour average implementation time), open source widgets, supports multip
• microsoft teams app
• streamlines analysis
• simplifies data access
• api-first solution
AutoQL is an API-first solution that simplifies data access and streamlines analysis by making data accessible to everyone — even non-technical business users — through natural language.
Everyone needs access to data to make informed decisions and take strategic action. We believe getting answers and information from a database should (and can) be as simple as having a conversation. So, we built AutoQL to help people access their data in a more intuitive way.AutoQL enables business users to access data in real time, simply by asking questions in their own words so they can get answers sooner, and take action, faster.
With AutoQL, any user can simply ask questions in their own words to access and analyze their data. Through our API, AutoQL receives, understands, and interprets natural language queries, dynamically generates a corresponding database query language statement, executes the DBQL statement against the database through a read-only connection, and returns relevant data to the end user within seconds.
By implementing AutoQL in your solution, you can expect to: Boost revenue, attract new users, and add value for your existing loyal customers. Stand out in your market with cutting-edge AI technology that drives value for every user. Save on costs by significantly reducing incoming support tickets and ad hoc reporting requests. Leverage your skilled team and internal resources for high-value, revenue-generating projects. Gain an edge over competitors offering limited or rigid data access and reporting options. Keep users engaged in your app instead of losing them to third-party BI tools.
No, AutoQL is not a SaaS application. It is an API that dynamically translates natural language to database query languages. This API-first approach allows for broad flexibility in how AutoQL can be implemented. We support fully-embeddable and customizable widget options for software teams, and accessible interfaces (like our app for Microsoft Teams) for enterprise use cases.
AutoQL is a dynamic API-first solution that supports a wide range of use cases, including self-service analytics, ad hoc reporting, and exploratory analysis.By implementing AutoQL, businesses are empowered to democratize, support, and promote data-driven workflows by enabling their audience (users, employees, or other) to access and explore their data using natural language.AutoQL can be embedded within an existing software for self-service ad hoc reporting and enhanced analytics capabilities, or it can be leveraged as a powerful addition to an existing BI stack.Because AutoQL is an API, we have the flexibility and ability to integrate with any BI tools/systems that allow third-party APIs to be called from their systems.
Absolutely! AutoQL is an API-first solution, so it can be embedded natively within your existing application. Our API-first approach allows businesses to harness the power of AI to deliver self-service data access and enhanced reporting and analytics capabilities, all within the workflows and digital spaces their users are already in.We’ve developed flexible widgets like Data Messenger and Dashboards so software developers can easily integrate AutoQL on the front end of their existing tools. All our widgets are open source and customizable.For businesses who do not have their own software or portal, we also offer an AutoQL app for Microsoft Teams.
The AutoQL API is a powerful and secure API that dynamically translates natural language to database query languages. Here’s some quick facts about our API: The AutoQL API is organized around REST. Our API has predictable resource-oriented URLs, accepts and returns JSON-encoded request bodies, and uses standard HTTP response codes and verbs. Our API is secured with JWT in conjunction with an API key.The AutoQL API makes it possible for business users — even (and especially) non-technical users — to access and analyze data in real time by asking questions in their own words, all from the software and web environments they’re already familiar with.
AutoQL is a horizontal solution that can be leveraged by enterprises, software application providers, systems integrators, and/or service providers. Any business team that is exploring ways to democratize data access, monetize new and approachable data workflows, reduce strain on internal resources, or differentiate their offerings from competitors can benefit and achieve high ROI by investing in AutoQL.
We’ve developed AutoQL implementations to support all flavours of SQL (including Traditional Relational Databases and Cloud Data Warehouses such as Big Query, Redshift, and Snowflake). We have also completed successful Proof of Concept implementations with both MongoQL and Cypher. If you’re curious about whether or not AutoQL can be implemented to support another query language, get in touch with our team and we will be more than happy to discuss your options with you.
The AutoQL Integrator Portal can be accessed here: https://autoql.chata.io/
AutoQL is a flexible API-first solution that can be made accessible to end users through our suite of widgets which includes mobile widgets. This means AutoQL works on mobile devices, allowing business teams and users to access their data on demand from anywhere at any time. For developers, check out our Developer Docs to learn more about how you can support an excellent mobile experience on both Android and iOS devices by leveraging our open source widgets.
We use proprietary generative AI to build training data and create new training data during the learning phase. This allows us to rapidly create custom language models for an organization’s databases.
No, we’ve developed our own proprietary technology and we create custom language models for each data warehouse.
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