Embedded Data Analytics For Database Access: How AutoQL Works

We use proprietary AI technology to rapidly train custom private language models for your data warehouse. AutoQL uses CPUs for inference vs GPUs needed with LLMs, which means enhanced ROI as you scale your data monetization projects, without sacrificing performance.

How AutoQL’s Custom Language Model works

We train AutoQL’s proprietary machine learning models on high volumes of custom-generated training data for each unique database. We facilitate training data generation through automated techniques, providing comprehensive database coverage and cutting weeks off the integration process.

Give business users direct access to detailed data from your data warehouse

We connect to all major data warehouses:

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AI technology built for unparalleled human experience.

AutoQL takes the hassle out of data access and eliminates the tedious back-and-forth of typical chat-based services. Our robust technology guarantees that users have exceptional conversational data experiences, every time.

Custom, searchable catalogue of natural language queries to get your users started, fast.

Catches and verifies references to unique data, so users always receive the data they need.

Automatically populates similar query suggestions as users type, so they get results quickly.

Clarifies meaning behind ambiguous queries, leading to efficient and accurate responses.

Build with our flexible implementation options. Deploy in a snap

With AutoQL, you can build on top of our API or use our flexible front-end widgets. All widget components are MIT licensed and open source, giving you total control over the data experience.

Data Messenger

Give users data on demand and exploratory self-serve analytics.

Data Alerts

Alert users and bring important insights to immediate attention.

Dashboards

Boost user functionality with extended analytics tools.

Your database is protected by our exceptional security architecture

We don't store a copy of your database

While our custom language models are trained off your database structure and to understand unique data within the database, we never create or store a copy of your database.

We're committed to security best practices

Data is encrypted at rest and in flight and we use non-numeric IDs to ensure that data is secure at every level. We use JWT to secure who has access to our system, and for how long.

We provide built-in user permissions

Make sure the right people have the right access to the right data. Set permission levels for your users within our Integrator Portal. If you have in-house permissions structures, we’ll work with you to build a permissions framework that works for you!

We're SOC 2 Type II compliant

SOC 2 Type II compliance is granted after a comprehensive third-party audit, so customers and users can be confident that their data is secure while they uncover insights with AutoQL.

Get industry-leading tips on levelling-up with self-service data analytics driven by natural language

Data Access Assessment Tool for Your Organization

Understand how effective your data process are and get action items for improving data accessibility across every department

Conversational AI: The Technology Behind AutoQL

This whitepaper is for users looking to understand the value of the technology we've developed to build AutoQL into a powerful conversational AI solution for database access.

Conversational Technology & the Future of Data-Driven Business

Leveraging data to get ahead? Conversational UI technology sets a new standard for the quality and speed of digital interactions in the software we use every day.