Our story
FullCorpus AI began with our own need to conduct systematic reviews, and our inability to find any software to automate LLM-based data analysis at its full potential. A major problem we faced was that the more files we added, the more the quality and consistency of the analysis deteriorated.
— The founders
Timeline
Heavy use of generative artificial intelligence, including for data analysis.
First generative AI customizations via GPT for various analysis purposes.
Generative AI customizations focused on academic writing and data analysis facilitation.
Transformation of previous customizations into software: custom AI design for large-scale document analysis.
First uses, tests, and positive results with real users and concrete analysis cases.
Confirmation, through experiments, of superior performance in exhaustiveness and fidelity in data extraction — and expansion of use to new projects and researchers.
What guides us
Our priority was never to be the fastest. It was to be the most reliable for those who need to publish with evidence.
Every analysis must be auditable. Model, version, prompt, temperature — everything documented for reproducibility.
No feature was added without being needed in a real research project. This ensures every detail matters.
We do not advocate for any LLM. We provide the layer that allows choosing the best model for each task.
Join us
Talk to the team. It could be the start of a collaboration or simply early access to the tool.