AI-powered data preparation for trusted and sovereign AI.
Datahunter turns unstructured documents into metadata-rich, searchable, and analysis-ready data, deployed on your infrastructure, aligned to your standards.
What is Datahunter?
Datahunter is an AI-powered platform that helps organizations prepare high-quality data for trusted and sovereign AI initiatives. Many valuable datasets exist only within unstructured documents — scientific publications, reports, and technical materials. Datahunter automatically identifies relevant sources, detects PII, applies metadata and security classification, extracts structured data, and organizes it into metadata-rich, searchable, and analysis-ready formats. This significantly reduces the time required to build datasets for analytics, RAG knowledge systems, and AI inference.
What Datahunter does
Four steps from documents to datasets
Each step runs on your infrastructure, with full traceability from source document to structured output.
FindIdentifies relevant sources across scientific repositories, document stores, and technical materials — surfacing what exists across formats and siloes.
ClassifyDetects PII, applies metadata and security classification automatically according to your organizational context and standards.
ExtractPulls structured data out of unstructured documents — scientific papers, reports, technical materials — and refines results with AI-assisted query tools.
OrganizeBuilds searchable, analysis-ready outputs for analytics pipelines, RAG knowledge systems, and AI inference — integrated with your existing infrastructure and workflows.
National Research Council Canada
Federal Case Study
It would take a researcher 30 to 60 minutes to read and extract LCI data from a publication. When using Datahunter, the researcher would spend about 5 minutes per publication.
— Cyrille D., National Research Council Canada
NRC reports up to 92% time-savings for researchers using Datahunter
Extraction and classification logic developed and validated against real research data, refined in partnership with Canada's federal science and research community.
On-premises, Protected B-capable
Self-contained deployment with no mandatory SaaS dependency. Configurable to department-specific workflows rather than forcing adaptation to the tool.
- Fully on-premises deployment — Protected B-capable
- No multi-tenant SaaS dependency
- Configurable to department-specific workflows
- No cross-border data flows
- No mandatory external service dependencies
Integrates with your existing stack
Combines local models with deterministic validation and open-source document parsing. Every extraction step produces results you can trace and verify — not a black box.
- Out-of-the-box DSpace integration
- Termium terminology alignment (bilingual standards)
- Integrates with existing infrastructure and workflows
- Local models + deterministic validation — fully auditable
- Open-source document parsing, no black-box outputs
Integrates with DSpace
Out-of-the-box compatibility with DSpace so Datahunter works with your existing research repository infrastructure — no migration required.
Learn how Datahunter can accelerate your data maturity.
Request a DemoCommercialization
Available through Pathways to Commercialization (PTC)
Datahunter is available through the NRC's Pathways to Commercialization program, connecting federal science organizations with innovative Canadian technology to accelerate their AI and data capabilities.