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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.

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AutoQL Multi Table Natural Language - Technology

You’re in good company

Achieve 500x more efficient natural language to database query translation.

AutoQL is an embeddable natural language interface that seamlessly connects you to your organization’s database for effortless data exploration. With our proprietary AI technology, robust API, customizable language models, and flexible implementation options, you are guaranteed to experience unprecedented value and flexibility. Additionally, our use of CPU Inference means it’s not only lightweight but also more cost-efficient for your organization.

Learn more about how we build powerful natural language interfaces to databases.

Here’s how AutoQL’s natural language interface to database system works

When accessing information from a relational database, team members typically have to execute queries against a database in a language like MySQL or MongoDB. AutoQL is a natural language interface to database system (NLIDB) that dynamically generates optimal database queries (including multi-table joining statements) from natural language and returns data responses in seconds.

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Business user’s natural language query dynamically translated into SQL with a natural language interface for database
Business user’s natural language query dynamically translated into SQL with a natural language interface for database - Generative AI
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Generating training data on multiple computer screens for natural language interface to database system with AutoQL's Technology

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.

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.

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Generating training data on multiple computer screens for natural language interface to database system with AutoQL's Technology
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Once we finish this training, AutoQL’s core language model dynamically generates comprehensive database statements (including SQL with multi-table joins) from natural language. AutoQL factors in context, recognizes unique data labels, and deciphers linguistic nuances to consistently return accurate answers.

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Once we finish this training, AutoQL’s core language model dynamically generates comprehensive database statements (including SQL with multi-table joins) from natural language. AutoQL factors in context, recognizes unique data labels, and deciphers linguistic nuances to consistently return accurate answers.

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Natural language interface to database system technology facilitates seamless data access - Generative AI

AutoQL’s core translation model uses several auxiliary models to ensure highly efficient and accurate responses. These models work together to create seamless conversational data experiences by:

  • Allowing users to explore queries related to topics of interest
  • Helping the system recognize and verify unique data labels
  • Handling ambiguity or user-input errors
  • Auto-suggesting relevant queries as users type

AutoQL’s core translation model uses several auxiliary models to ensure highly efficient and accurate responses. These models work together to create seamless conversational data experiences by:

  • Allowing users to explore queries related to topics of interest
  • Helping the system recognize and verify unique data labels
  • Handling ambiguity or user-input errors
  • Auto-suggesting relevant queries as users type
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Natural language interface to database system technology facilitates seamless data access
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When AutoQL receives a natural language query input, it’s technology dynamically generates a corresponding SQL statement and returns a data response in real-time. Our flexible implementation options allow users to visualize data in different charts and graphs or drill down to access finer details with a single click.

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When AutoQL receives a natural language query input, it’s technology dynamically generates a corresponding SQL statement and returns a data response in real-time. Our flexible implementation options allow users to visualize data in different charts and graphs or drill down to access finer details with a single click.

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Empower your users with natural language interface to database system in the software they already rely on

Monetize your data and drive new value in your organization with the power of a fully customized natural language interface to database system. AutoQL enables data on demand, empowering users to get critical answers and gain meaningful insights from anywhere and at a moment’s notice.

Monetize your data and drive new value in your organization with the power of a fully customized natural language interface to database system. AutoQL enables data on demand, empowering users to get critical answers and gain meaningful insights from anywhere and at a moment’s notice.

Empower your users with natural language interface to database system in the software they already rely on

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.

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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. Learn more →

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. Learn more →

We host our solutions in the cloud

AutoQL is hosted in our cloud platform so we can maintain top-tier security measures and upgrade our security architecture on an ongoing basis while providing the accessibility and flexibility our customers demand. Learn more →

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! Learn more →

We're SOC 2 Type II compliant

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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. Learn more →

An AI investment made to scale

Integrate the power of our proprietary AI technology to enable embeddable data analytics and boost the value you bring to every user.

>50%

of analytical queries will be generated via search, NLP or voice, or will be automatically generated by 2021.

63%

of industry leaders increase revenue from AI adoption, top-performers are 3x more likely to see gains >10%.

~70%

of white-collar workers will interact with digital conversational systems to perform their jobs on a daily basis by 2022.

74%

of consumers prefer to interact with conversational systems when they’re looking for instant answers.

Resources

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Learn More About AutoQL Security Architecture

Explore our security policies and practices that ensure your software and user data is protected at every stage.

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