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CYTK

Activating Technical Data with AI

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Description

CYTK provides a comprehensive platform designed for data activation, focusing on processing and enhancing structured technical data. It begins by evaluating data accessibility and structure, preferably through APIs, ensuring it can be effectively utilized. The core of the platform involves an ETL (Extract, Transform, Load) service that ingests data from various sources, refines it into a common structure, and loads it into databases and Elasticsearch for optimized search capabilities.

Leveraging machine learning, CYTK enhances the data through component recognition, applying industry-specific lexicons, and performing data integrity checks. Furthermore, it incorporates Large Language Models (LLMs) by integrating public data sources like OpenAI and offering a private RAG (Retrieval-Augmented Generation) pipeline. This allows training LLMs securely on proprietary data, customizing the search experience, particularly for technicians needing specific information possibly underserved by standard manufacturer documentation. The platform also includes ancillary services for monitoring, reporting, and ensuring scalability and reliability.

Key Features

  • Data Ingestion & ETL: Processes structured, labeled data from APIs or downloads into a common format.
  • Machine Learning Enhancement: Applies component recognition, industry lexicons, and integrity checks to data.
  • LLM Integration: Leverages public LLMs (OpenAI) and private RAG pipelines for enhanced search.
  • Proprietary Data Training: Securely trains LLMs on private data for customized user experiences.
  • API Evaluation & Data Assessment: Ensures data structure, scope, and searchability meet requirements.
  • Scalable Platform Services: Includes activity reporting, error capture, compliance, and monitoring.

Use Cases

  • Improving technical data search accuracy and relevance for technicians.
  • Structuring and activating complex proprietary component or service data.
  • Enriching existing technical manuals and documentation with AI-driven insights.
  • Building custom LLM search or Q&A applications trained securely on private technical datasets.

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