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iguanodon.ai

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About

Iguanodon.ai is a specialized Brussels-based consultancy focused on high-level Language Technology and Data Science. Founded by Dr. Simon Hengchen, a researcher with over a decade of experience in Natural Language Processing (NLP), the company bridges the gap between complex academic research and real-world business applications. It focuses on delivering personalized, scientifically-grounded solutions for organizations that need to extract meaningful insights from text or manage large-scale data challenges through custom-built tools rather than generic software. The technical scope of the service is broad, covering key areas such as Information Extraction, Deep Learning, and the integration of Large Language Models (LLMs). One of its standout offerings is data wrangling and cleaning, specifically focusing on OCR (Optical Character Recognition) post-correction. This service is critical for clients dealing with historical archives or legacy documents where standard scanning software fails to produce accurate, searchable text. By applying advanced algorithmic corrections, the team ensures that the resulting data is clean and ready for further analysis or public consumption. The firm is uniquely positioned to serve the academic and cultural sectors, particularly those involved in the digital humanities. Unlike standard AI startups, iguanodon.ai brings a heavy research pedigree, with a history of collaborations involving institutions like the University of Cambridge, the University of Oxford, and The Alan Turing Institute. This makes it an ideal partner for researchers who require a high degree of linguistic precision and an understanding of the ethical and methodological standards required in academic publishing and long-term research projects. Beyond research, the company operates as a full-service data science partner for businesses in Belgium and internationally. Clients can communicate with the team in English, French, or Dutch, facilitating smooth collaboration on multilingual projects. Whether the goal is to build custom NLP pipelines, implement modern deep learning models, or solve niche data cleaning problems, the firm provides a boutique approach that prioritizes robustness and expert oversight over generic, automated solutions.

Pros & Cons

Led by an expert with a PhD and 10+ years in NLP research.

Specialized expertise in OCR post-correction for high-accuracy digitization.

Strong history of collaboration with top-tier academic institutions.

Multilingual support specifically for English, French, and Dutch.

Deep focus on niche applications like digital humanities.

Lack of public pricing information or standardized subscription tiers.

Professional services model lacks a self-service web interface for users.

Limited public documentation regarding proprietary toolsets or APIs.

Use Cases

Researchers in digital humanities can automate text analysis and cleaning on large historical datasets.

Archive managers can improve the quality of digitized records through specialized OCR correction.

Business analysts can develop custom information extraction tools to pull insights from unstructured text data.

AI developers can consult on the ethical and technical implementation of Large Language Models.

Platform
Web
Task
language processing

Features

natural language processing

information extraction

large language models (llms)

deep learning

multilingual consulting

digital humanities research support

ocr post-correction

data wrangling and cleaning

FAQs

What languages can I communicate with the team in?

You can reach out to the iguanodon.ai team in English, French, or Dutch. This multilingual support reflects their Brussels base and their expertise in Germanic and Romance linguistic contexts.

Do you provide support for academic research?

Yes, the firm specializes in providing research support specifically within the digital humanities. They offer expertise in data cleaning, NLP, and information extraction to help researchers process large corpora.

What is OCR post-correction?

OCR post-correction is a specialized data wrangling service that fixes errors produced by Optical Character Recognition software. This is essential for ensuring that digitized text from scans or historical documents is accurate and searchable.

Can iguanodon.ai help with Large Language Models?

The company offers services related to LLMs, helping clients implement and tailor these models to their specific organizational needs. They focus on building personalized and robust solutions rather than generic implementations.

Job Opportunities

There are currently no job postings for this AI tool.

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