We use proprietary technology to create custom language models, providing accurate, natural language database access while ensuring data teams stay in full control.
We deliver tailored solutions that fit seamlessly into your workflow – from data prep to implementation, onboarding, and support – empowering your data team with full control while enabling business users to self-serve their data needs.
Our CPU-based inference reduces operational costs by 99.8%, compared to LLMs providing a scalable solution that maintains performance without straining your budget.
We deploy custom language models within your environment—whether in your cloud or on-premises—ensuring your data remains secure and entirely under your control at all times.
Employing Chata’s Decision Intelligence within Dialect allows users (DIY investors or financial professionals alike) to access and analyze stock market data quickly and efficiently. Providing this capability sets Dialect apart because, now anyone can make data-driven decisions by simply asking questions, filtering data, and setting alerts in seconds.
Microsoft Azure customers can use AutoQL to streamline access to data for everyone from executives to analysts and front-line workers. Chata’s integration with Azure has resulted in a solution that brings innovation enabling strategic actions to be taken right away, an advantage that benefits businesses of all sizes.
Chata.ai has transformed the way our team interacts with data. As a non-technical user, I found the self-service analytics solution incredibly intuitive. The ability to set up custom data alerts in seconds using natural language has been a game changer for us. We can now monitor key performance indicators (KPIs) effortlessly, which has significantly improved our decision-making process. The customizable dashboards are easy to navigate, making it simple for everyone in the organization to access real-time data without needing IT support. Overall, Chata.ai has empowered our team to make informed decisions quickly and autonomously.
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.
By implementing AutoQL in your solution, you can expect to:
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.
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.
Yes, 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 by leveraging our open source widgets.
We sure do! We work with innovative systems integrators, professional services providers, and technology partners to reimagine and transform the future of data accessibility across every industry. Get in touch with our team to learn more about the benefits of working with us and how to join our network of innovative partners.
SCCG Management Strategic Partnership with Chata.ai to Revolutionize Data Optimization in Gaming!
Proactive Self-Service Analytics:Chata.ai Joins Google Cloud Marketplace to Enhance Enterprise Data Engagement
How Nike Improved Decision-Making with Proactive Data Analytics
