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About Author

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Charles Brecque

Co-Founder and CEO

Charles Brecque is the co-founder and CEO of TextMine. Charles started TextMine in Oxford in 2020 with Amber Akhtar after experiencing data loss and friction when working with legal and financial business-critical documents. TextMine leverages patented knowledge graph technology and large language models in order to structure the unstructured data in documents. Prior to TextMine, Charles was the first commercial hire at Mind Foundry, a machine learning spin-out from the University of Oxford. Charles is a graduate of the École Centrale de Lyon.

Author Blog Posts

An Introduction To Text Extraction From Images

The steps and technologies to perform accurate text extraction from images

Document Data Capture Best Practices for ERP Systems

Best practices for recording document data in your ERP system

An introduction to Document Data Extraction APIs

How Document data extraction APIs work and how to select one for your project

How to extract text from a PDF using AI

Extracting text from PDFs using NLP and AI

An Introduction to Machine-Readable Documents

The key properties of machine-readable documents

An Introduction to LLM Quantization

Should You Build or Buy Your LLM?

The pros and cons of building or buying large language models

An Introduction to LLM Fine-Tuning

An introduction to fine-tuning for large language models

An Introduction to Optical Character Recognition (OCR)

Everything you need to know about OCR

Why Getting Data Labelling Right is Critical for Business Success

Why data labelling is the unsung Hero of AI

An Introduction to Knowledge Graphs

An overview of knowledge graphs and their main use cases

How to Mitigate Bias in AI Models

What AI bias is and how to prevent it

How to Build Your Own AI Model

A framework businesses can follow for building and deploying AI models

An Introduction to Vector Databases

What they are and how to use them

Text Analytics Vs Text Mining

A comparison of text analytics and text mining and how to leverage them for your business

An introduction to Transformers

An introduction to the model architecture behind generative AI models

How to Run a Supplier Risk Assessment

The risks and questions you need to ask before onboarding new suppliers

An Introduction to Textual Analysis

What textual analysis is and businesses can leverage it

How to Evaluate the Fairness of Your AI Models

How to ensure your AI models are fair and unbiased

What is Retrieval-Augmented Generation? (RAG)

How RAG is helping businesses tap into their proprietary data

An Introduction to Natural Language Processing

An overview of NLP techniques and how organisations can embrace it.

How to Manage the Risks of AI

The main AI risks and how to mitigate them

An Introduction to Machine Learning

What Machine Learning is and how to build your own models

An Introduction to Generative AI

How generative AI models work and where they are heading.

An Introduction to Contract Compliance

What contract compliance is and how leading procurement teams are leveraging AI to streamline it.

An introduction to semantic technology and semantic reasoning

An overview of semantic technology and semantic reasoning and how it can improve the overall contract data management process.

An introduction to ontologies and how to use them

An introduction to Ontologies starting with what an ontology is, how it can help structure contract data and what it means for businesses.

An introduction to Text Mining for business users

Everything you need to know about TextMining and how business users can leverage Vault to mine the textual data in their business.

How TextMine can help with Social Impact

Learn about current market trends and how TextMine is reducing the carbon footprint of the law while addressing unfairness in the contracting process.