Empower finance, legal, and healthcare teams to structure complex information with speed and precision. Combine OCR-extracted text, named entity recognition (NER), and relationship tagging to transform PDFs, invoices, and contracts into high-quality, analysis-ready datasets.
.webp)
.svg)
.svg)
.svg)
Combine OCR extraction, named entity recognition (NER), and relationship tagging to capture and organize information from complex documents such as invoices, contracts, or forms. Use integrated OCR engines or your own models for pre-annotation, and take advantage of nested jobs, conditional logic, and overlapping entities to support sophisticated, production-ready workflows.
Handle large documents with thousands of annotations while maintaining smooth performance and precision. Process PDFs (native or image-based), invoices, contracts, forms, and scanned documents in any language. Kili supports standard formats like JPEG, PNG, TIFF, and multi-page PDFs with page-level configuration, while customizable ontologies manage nested classifications, entity relations, and complex document structures.
Handle financial statements, legal contracts, medical records, and proprietary documents with granular access controls that restrict visibility by document type, project, or sensitivity level. On-premise or hybrid deployment keeps sensitive data within your infrastructure. Audit logs track every annotation action with user attribution and timestamps for regulatory compliance and security investigations. Compliance certifications including ISO27001, SOC2, and HIPAA ensure sensitive document workflows meet industry security standards.
You can also check out our documentation to learn more about our features. We're ready when you are.
Learn how Kili Technology has changed the way these teams train, fine-tune, and evaluate their models.
Stay up to date with fresh content from our team — tutorials, use cases, and ideas to help you train AI/ML models better.
Got questions about Kili Technology? Check out our FAQ. If you can't find it in this list, drop a question for our team.
.png)
