SCALING DOCUMENT

PROCESSING WITH OPEN

SCIENCE LLMS

WE BUILD ENERGY-EFFICIENT LLMS FOR INFORMATION-INTENSIVE AND HIGHLY REGULATED INDUSTRIES

AI ACT-COMPLIANT OPEN SCIENCE MODELS

TRAINING DATA ASSETS DESIGNED TO PREEMPT INDUSTRIES REAL-LIFE USE CASES

ENHANCED MULTILINGUAL TOKENISER BUILT FOR LANGUAGE-PARITY

HYBRID SMALL LANGUAGE MODELS FOR HANDLING DOCUMENT PROCESSING AT SCALE

WE CARE ABOUT DATA

(01)

We develop unique multilingual synthetic data capacity

Through novel approaches of LLM-driven rephrasing, refining and redocumentarising of the original content, massive high-quality synthetic datasets will be established and routinely expanded for customer use cases.

(02)

We build and open corpus mining pipelines

Numerous untapped training data sources exist beyond the typical web archives and copyrighted material. We develop innovative pipelines for corpus preparation, along with models capable of recognizing various layouts, allowing for the integration of overlooked open data, open science and cultural heritage resources, particularly those in PDF format.

(03)

We integrate and support semantic data

We build an extensive collection of semantic web for pretraining and alignment with a large diversity of standards matching use cases: XML, XLBR, RDF.