Proprietary AI Models

ML and AI Models of AquilaX

AquilaX: Advancing AI for Engineers and Developers

At AquilaX, we are committed to developing and continually training a series of AI models designed to better serve the engineering and developer communities using our service. Our multidisciplinary team of AI researchers, data scientists, and software engineers work collaboratively to ensure our models are both efficient and effective.

Core Principles for Optimal User Experience

To achieve the best user experience, we adhere to the following principles:

1. Efficient and Compatible Models

   • Performance Optimization: We focus on building AI models that are not only fast but also optimized for CPU compatibility wherever possible. This approach ensures that our solutions are accessible and efficient across various hardware configurations, reducing latency and enhancing real-time performance.

2. Targeted Training Data

   • Specific Data Utilization: Our models are trained on a combination of proprietary and open-source data, meticulously selected to meet our specific needs. By targeting our training data, we can fine-tune our models to address the unique challenges and requirements of the engineering and developer communities, leading to more accurate and relevant outputs.

Team and Collaboration

Our team at AquilaX is a diverse group of professionals dedicated to pushing the boundaries of AI. This includes:

• AI Researchers: Innovating new algorithms and refining existing ones to enhance model performance.

• Data Scientists: Curating and processing large datasets to train our models, ensuring they are robust and well-generalized.

• Software Engineers: Integrating AI models into our platform, optimizing for performance, and ensuring seamless user experience.

• Quality Assurance Specialists: Rigorous testing of models to ensure reliability and accuracy.

Together, these efforts enable us to deliver high-quality, responsive AI solutions that significantly improve the workflows of engineers and developers. By staying committed to these principles, AquilaX aims to set the standard for AI-driven tools in the tech industry.

AquilaX AI Models

Securitron: Summary

json-to-text

Securitron: Query

text-to-JSON

Securitron: Command

text-to-JSON

Securitron: Ask

text-to-text

Securitron: Code

text-to-code

Securitron: Assistant

text-to-text

Summary

This model is trained on a comprehensive dataset of cybersecurity reports focused on application security. It can analyze the findings from these reports and generate a summary that explains the identified vulnerabilities and the assurance level of the scan. The summary can be presented in simple English for general understanding or in more technical language for expert use. Input: JSON (structured findings and metadata) Output: Text (Report summary)

Query

This model is one of the first developed by AquilaX, designed to provide users with a natural language interface for interacting with the AquilaX system. Users can ask straightforward questions, such as "How many vulnerabilities do I have?" and receive structured responses in JSON format. Additionally, the model can generate graphs and charts to visualize the data effectively. Input: Text (English questions - NL) Output: JSON (Answers in JSON format)

Command

The Command Model is responsible for interpreting natural language text and executing the desired actions on the platform. For example, if a user says, "Please scan this repo for secrets," the model accurately understands the command and performs the action on behalf of the user. Input: Text (English questions - NL) Output: JSON (Operation execution output )

Ask

<coming soon>

Code

<coming soon>

Assistant

<coming soon>