Data & Attribution
Syntic Life is built on publicly available data, properly attributed to its original sources.
The company behind the model
Syntic AI Inc.
Amara, the reasoning model powering Syntic Life, is built, trained, and operated by Syntic AI Inc. — the company advancing the next generation of biotechnology and aging research.
Syntic AI develops the AI systems that read, reason over, and synthesize the scientific data sources credited below. The model and platform are © Syntic AI Inc.; the underlying public datasets remain attributed to their original sources.
AlphaFold Protein Structure Database
Structural predictions provided by Google DeepMind and EMBL-EBI, licensed under CC-BY-4.0. AlphaFold Data © 2022 DeepMind Technologies Limited.
Citation: Bertoni D, et al. AlphaFold Protein Structure Database 2025: a redesigned interface and updated structural coverage. Nucleic Acids Research, 54(D1):D358–D362 (2026). https://doi.org/10.1093/nar/gkaf1226
UniProt
Protein sequence and functional annotation data are drawn from the UniProt Consortium, a freely accessible, expert-curated resource that pairs protein sequences with information on their function, structure, and biological roles. It is maintained jointly by the EMBL-EBI, SIB Swiss Institute of Bioinformatics, and PIR.
Additional structural datasets, where referenced, include attribution to their respective copyright holders: Kinetoplastid data (Wheeler Lab), AllTheBacteria data (AllTheBacteria Consortium), BFVD data (BFVD Development Team), and Viro3D (Litvin et al.).
Syntic Life does not claim ownership of this underlying data. We provide a search and reasoning interface on top of it.