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.

Turing's workflow

Capacités Avancées - Turing Flow
1

Creation

Build your knowledge graphs easily with an ergonomic interface

2

Enrichment

Integration of missing context and population of the graph

3

Update

Your knowledge graph grows and improves with real-time data retrieval.

Turing AI - Advanced Data Transformation

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.

Analysis Context
⚙️

Structuring Automation

Transform raw data into structured information tailored to your LLM's business needs with Turing.

Automation LLM
🧠

Contextual Understanding

Identify relationships and context within data to interact with the business LLM using a specialized use case.

AI Relationships
🎯

Data Optimization

Use Turing's ontological strategy to precisely organize your data, making it easier to use.

Ontology Optimization

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.

Controls and updates your data
Streaming Phase
Creating a knowledge base from existing data
(accepting different formats).
Past
Present
Future
Phase 1
Creating a knowledge base from existing data
We analyze and structure your historical data to create a solid and organized knowledge base.
Phase 2
Continuous storage after receiving new data
Setting up a real-time processing system to automatically integrate new information.
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