Locally run large language models (LLM) software
Many types of data is proprietary or regulated by local law such as GDPR, and therefore not suitable to be processed with online AI services.
We offer traditional Windows business logic applications with integrated LLM capabilities. Our solutions are based on gguf format Llama3 models that run on modest hardware such as Normal office Windows PC with a graphics card. Development is done with RAD studio (Rapid Application Development) that create dependless executables that require no pre-requisites or supporting frameworks, or any Python.
About AILA
AILA is installed locally (no internet necessary) running on Windows PC with quickly configurable AI assistant for analyzing various data, or providing assistance on multitude of tasks.
- Customizable assistants, persistent both in definitions, tuning and context (select suitable assistants from drop-down menu or make new ones)
- Data import methods: copy & paste, input file (any type such as odf, txt or csv), regexp, database, SQL, or customized methods to import user data formats
- Selectable LLM (Large Language Models) in .gguf format
- Focusing on Llama3 but others are possible
AILA Chatbot
An intelligent virtual assistant designed to engage with users conversationally. It can answer questions, provide information, and assist with various tasks, enhancing customer service and operational efficiency. With natural language processing capabilities, it understands and responds to queries accurately, ensuring a seamless and interactive experience.
AILA Quality Management System (AILA - QMS)
AILA QMS leverages advanced artificial intelligence to streamline and enhance quality management processes within your organization. This intelligent system helps ensure consistent product and service quality by providing real-time monitoring and data analysis.
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Automated Inspections: Perform real-time quality checks and inspections using AI-powered image and data analysis to identify defects and anomalies.
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Predictive Maintenance: Utilize machine learning algorithms to predict equipment failures and schedule maintenance, reducing downtime and improving efficiency.
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Process Optimization: Analyze production data to identify inefficiencies and optimize processes for better quality outcomes.
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Compliance Management: Ensure compliance with industry standards and regulations through automated documentation and audit trails.
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Root Cause Analysis: Quickly identify the root causes of quality issues with AI-driven data analysis, enabling faster problem resolution.
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Continuous Improvement: Implement a cycle of continuous improvement with AI-driven insights that help refine processes and enhance quality over time.
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User-Friendly Interface: An intuitive interface that makes it easy for employees to interact with the system and access necessary information.
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Integration Capabilities: Seamlessly integrate with existing ERP, MES, and other enterprise systems for a unified quality management approach.
By implementing our AI Quality Management System, organizations can achieve higher quality standards, reduce waste, improve compliance, and drive continuous improvement across all operations.
