Soft-focus view of historical archival boxes stacked in a quiet research room

Illuminating Individual Fates, Documenting Historical Truth

Every record tells a story. Chronos AI provides sensitive, precise AI tools to help institutions analyze conflict and Holocaust-era records for research, memorialization, and justice.

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An Ethical-First Approach

Human-in-the-Loop

AI provides suggestions, not final answers. Every potential link or identification is reviewed by human experts to ensure the highest degree of historical accuracy and respect.

Data Privacy & Security

We utilize purpose-built, highly secure environments for working with sensitive personal data, adhering to international standards for archival preservation and privacy.

Respect for Victims

Our goal is to restore dignity and history. We approach every data point with the gravity it deserves, ensuring victims are never objectified or instrumentalized.

Academic Rigor

Our models are developed in consultation with world-leading historians and archivists to ensure methodology aligns with established historical research practices.

Specialized Analytical Capabilities

Record Linkage

Intelligently match individuals across handwritten cards, transport lists, and witness testimonies, reconciling variations in spelling and archival errors.

Archival Photo Recognition

Process vast photo archives to group by location, detect recurring unidentified faces, and suggest matches against known historical lists through human-verified AI.

Testimony Analysis

Transform thousands of hours of video or text testimonies into structured, searchable data identifying common themes, locations, and perpetrator networks.

Document Classification

Automated sorting of captured records by type—official orders, personal letters, or inventory lists—to help researchers prioritize critical findings.

Case Study: Connecting Families through the Arolsen Archives

The Arolsen Archives contain millions of documents on Nazi persecution, presenting a massive challenge: manually connecting a single person across disparate document types is often an impossible task for individual researchers.

AI Solution: Chronos AI developed a record linkage model specifically trained to read multi-lingual handwritten and typed documents, normalizing name variations and phonetic similarities.

Outcome: The system identified previously missed links between an individual's registration card, a forced labor assignment, and a post-war displaced persons document, building a complete narrative for their descendants.

*This scenario represents the capabilities of our methodology; individual privacy and data protection are paramount in all engagements.

Cross-Document Neural Linking

Discuss Your Archive's Needs

Our work is conducted with the highest level of discretion and respect for the material.
Contact us to begin a confidential conversation about how our technology can support your mission.

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