TURING AI

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.

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Business context retrieval

Build a complete business context by analyzing diverse data formats within a unified knowledge base.

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Automation
of structuring

Transform raw data into structured information tailored to your LLM business needs with Turing, by retrieving the context of your environment.

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Context
understanding

Identify relationships and context within data for interacting with the LLM business with a use case specialized.

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Data
optimization

Utilize Turing’s ontological strategy to precisely organize your data, facilitating its use for in-depth analysis.

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.

Strategie Turing
Illustration Turing A

PHASE 1:
FIRST RECORDING

Turing phase 1 captures all existing data in an initial recording to ensure a comprehensive dataset is available from the very beginning.

TURING A 1.1: Business-oriented ontology strategy

Turing A11 offers a tailored ontology strategy designed to meet your company’s specific needs by structuring your information around a clear and precise business context.

Generates an interactive mindmap that simplifies the understanding and visualization of key relationships within your data.

TURING A 1.2: Enrich your current context

Enhances the context of existing data by integrating internal company documents to enrich and complete the missing information.

The user provides additional context. Based on existing data in A1.1, Turing will fill in the missing entities and relationships to achieve a more complete context.

TURING A 2: Automatization workflow

PHASE 2: 

Recording workflow in real-time

The TURING PHASE 2 enables seamless, real-time data recording and management, capturing information across platforms as it happens. From instant capture to comprehensive organization, the Turing Phase 2 transforms real-time data flow into a strategic asset for your business.  Through its four interconnected modules it structures, enriches, and stores data continuously, ensuring immediate relevance and accessibility: 

Turing Phase 2
Turing A Phase 2

TURING A
Recording workflow in real-time

Just like phase 1, but in real time, with updates automatically processed after each addition in tools like Skype, Slack, or Notion. Turing A1.2 seamlessly transitions into Turing A1.1.

Ontology strategy for existing data

Our ontology strategy is applied to your existing data, organizing it according to its context for more precise use.

Full data context

We provide the complete context for all your data, ensuring that every piece of information is accurately categorized and connected to its relevant business applications.

Future-proof setup

Along with managing current data, we establish the necessary framework for handling and integrating new data as it comes in.
Turing A Phase 2
Illustration of Turing B

2. Generation of contextualized paragraphs

Produces coherent and relevant paragraphs by eliminating unnecessary elements and preserving the essential context for optimal comprehension.

TURING B
1. Data classification

Organizes and classifies data by sorting chunks and grouping them based on logical relationships, enabling a seamless and efficient data flow.

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TURING C
Storing information in chromaDB

Turing c involves a backend script that stores information in ChromaDB. It translates paragraphs using the model’s embedding. 

Turingc storing information
Turingd call recording

TURING D
Call recording and classification data

Turing d handles tool call recording with classification by project or topic. Using a tool extension and speech-to-text (STT) technology, calls are segmented and classified. The tool extension can be Skype, Google Meet. The output is stored in JSON format, generating Cypher requests to save the classified information in the knowledge graph.

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Key benefits of Turing

Turing offers advantages that revolutionize data management.

Flexibility and customization

Adapt data structuring to the specific needs of each business, with customization based on user-defined relationships.

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Data security

Ensure secure storage of structured information, with data organized and safeguarded.

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Data quality improvement

Reduce errors and inconsistencies through optimized management of context and relationships between data.

ARTIFICIAL INTELLIGENCE IN DATA STRUCTURING

Structure your raw data in real-time

Save the context related to a business topic and create an ontology strategy to enable interaction with a large language model (LLM), ensuring it understands the business context for more accurate and relevant responses.

Efficiently retrieve and store real-time conversations and data.

Transforming a graph database into a vector database enables similarity searches, allowing the LLM to go beyond its original datasets and understand similar contexts, while efficiently handling complex queries.

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Ontology strategy

The ontology strategy enables the development of a structured organization of your data while taking their context into account. This approach ensures that raw data is not only consistently classified but also connected to its environment and the relationships surrounding it. Moreover, it specifically structures the data for efficient retrieval by a large language model (LLM), enhancing the overall effectiveness of information access.

By adopting an ontology strategy, your organization enhances data interoperability and improves information retrieval through Turing AI. You can:

With our expertise in ontology design, we help businesses streamline their processes and maximize the potential of their data using Turing AI.

Conversion of graph database into vector database

The conversion of graph to vector for the database is a key process for transforming complex graph databases into a simplified vector format. This transformation enables more efficient data analysis and leverages similarity search to tailor LLM responses even if the user prompt is not in the dataset. It is also essential for complex and multi-dimensional searches. Cypher query generation is used to create contextualized phrases, enhancing the accuracy and relevance of the responses.

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USE CASE
Turing

Turing stands out as an invaluable asset for project management and business intelligence, simplifying data structuring and providing strategic insights that promote better coordination and more informed decisions.

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Turing AI, perfectly designed to your datas

Open-weight model with flexible support

Turing, through its open-weight model, unites developers and data scientists to continually enhance its features, all while being completely free to use. We only charge for implementation services if clients need assistance.

Your data remains under your control

No software lock-in:

  • Access to the source code included.
  • Access to our GitHub repository.
  • Freedom to choose hosting on our infrastructure or yours.

Affordable training with GPU

We offer competitive GPU pricing during model training, making us more cost-effective than most cloud platforms.

Fully customizable model

Use Turing Studio to automate actions, create custom reports, or configure webhooks.

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Discover the future of your projects
with Turing

Eager to learn more?

We would be delighted to discuss your needs to boost your business with AI.

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