Teklia has developed for its clients automatic document understanding systems based on Machine Learning in a wide range of application domains.

Information extraction from product test reports

Information extraction from product test reports

Unstructured and textual information extraction from product test reports using machine learning and OCR. Training of named-entity extraction models, incremental and active learning.

Genealogical information extraction

Genealogical information extraction

Document analysis, handwriting recognition and personal information extraction in 2 million parish record images from Quebec between 1880 and 1920.

Internal Control Procedures Analysis

Internal Control Procedures Analysis

Normalization and organization of internal control definitions.

Case Law Decisions Understanding

Case Law Decisions Understanding

Data extraction, classification and summarization of case law decisions.

Semantic Analysis of Mails

Semantic Analysis of Mails

Automatic prediction of priority levels from complaint mails.

Automatic IT Tickets Processing

Automatic IT Tickets Processing

Clustering of tickets by topics, automatic tickets classification and triaging.

Information extraction from medical record

Information extraction from medical record

Classification and numerical information extraction from medical records

Information extraction from scanned invoices

Information extraction from scanned invoices

Automatic extraction financial information in scanned invoices

Automatic information redaction

Automatic information redaction

Redaction of confidential information in fiscal forms. Automatic processing of a 2.5 million documents archive.

Analysis of Local Town Planning

Analysis of Local Town Planning

Automatic extraction of construction rules from Local Town Planning (Plan locaux d'urbanisme).