Apollo AI aims to help reconstruct damaged ancient Greek texts

WIRED reports that Apollo was trained on roughly 600 million historical Greek words. It is designed to suggest missing text in papyrus fragments, leaving scholars to choose among its proposed words.

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In its September 22, 2026 report, WIRED says the Austrian Academy of Science planned to make Apollo freely available to academics through a chatbot. Developed with Mistral and Sail Reply, the model is designed to suggest likely missing text and help scholars identify relevant papyrus fragments. The report says it could uncover details about everyday ancient life, rather than change the broad understanding of antiquity. Scholars would choose among its suggested words, and papyrologist Anna Dolganov warns against relying entirely on AI transcriptions and interpretations.

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Apollo AI aims to help reconstruct damaged ancient Greek texts

WIRED reports that Apollo was trained on roughly 600 million historical Greek words. It is designed to suggest missing text in papyrus fragments, leaving scholars to choose among its proposed words.

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The Austrian Academy of Sciences is developing Apollo, a multimodal AI system for Ancient Greek meant to help researchers search, transcribe and reconstruct damaged historical texts.

The academy says the project is being built with Mistral AI and SAIL Reply. Apollo was trained on a corpus of more than 600 million words of premodern and early modern Greek, which the academy describes as the largest public-domain digital corpus of historical Greek sources of its kind.

The model is optimized for text reconstruction, a central problem for scholars working with incomplete papyri, inscriptions and other fragmentary records. Its multimodal design is also intended to support work with visual inputs and handwriting, not just clean typed text. The project uses chronologically ordered training material in an effort to give the system temporal awareness, according to the academy.

Apollo is a research tool, not an automatic authority on antiquity. The academy says it plans to host the system as open-access infrastructure after release alongside performance metrics and evaluation results. That leaves researchers to assess proposed reconstructions and use the tool alongside the historical and linguistic judgment that damaged documents still require.

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Apollo AI aims to help reconstruct damaged ancient Greek texts

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