TURING
Structure and optimize your data with Turing AI
Turing
An intelligent solution for business-specific context Structuring
Turing AI is an advanced solution that transforms raw data into structured information through a business-oriented ontological strategy. It simplifies data management by leveraging user-defined context, enabling precise organization tailored to specific business needs. This approach enhances interaction with large language models (LLMs), optimizing data utilization for impactful outcomes.

LE WORKFLOW DE TURING
Creation
Build your knowledge graphs easily with an ergonomic interface
Enrichment
Integration of missing context and population of the graph
Update
Your knowledge graph grows and improves with real-time data retrieval.
Advanced Capabilities
Turing optimizes data utilization for impactful results through a revolutionary approach to information structuring and analysis.
Business Context Retrieval
Build a complete business context by analyzing diverse data formats within a unified knowledge base.
Structuring Automation
Transform raw data into structured information tailored to your LLM's business needs with Turing.
Contextual Understanding
Identify relationships and context within data to interact with the business LLM using a specialized use case.
Data Optimization
Use Turing's ontological strategy to precisely organize your data, making it easier to use.
Context retrieval in streaming or real-time
Turing focuses on sorting, categorizing, and segmenting your company’s existing and real-time data to ensure it is well-organized and easily accessible. We manage your current data by applying an ontology strategy that classifies and contextualizes information for better use. Additionally, we set up the necessary framework to handle and integrate new data as it comes in.
Ontological Interface
A revolutionary approach to creating and managing your ontologies with maximum precision
Simplified Completion
An intuitive user interface that makes ontology creation accessible to everyone, without compromising on functional power.
Pragmatic Approach
We prioritize efficiency and ease of use over complex revolutionary innovations.
DRG Protocol
The Deterministic Reasoning Graph (DRG) is an approach for structuring knowledge and reasoning. It integrates and optimizes three fundamental components.
Algorithmics
Advanced reasoning and decision trees that enable systematic problem-solving and logical inference processes.
Graph Theory
Sophisticated network structures using nodes, edges, and clusters to represent complex relationships and data flows.
Key Benefits
Rapid Creation
Create a complete graph with the DRG protocol in just a few clicks.
5 Levels of Taxonomy
Hierarchical structure optimized for clear and logical data organization.
Business Reasoning
Storage and structuring of business reasoning for intelligent automation.
⚠️ Precision Conditions
The 100% precision is contingent upon the accuracy of the implemented ontology, the relevance of the adopted strategy, and the completeness of the data integrated into the graph. These elements form the foundation of a high-performing ontological system.