Terms of Service
Last Updated: March 2026
1. Acceptance of Terms
By accessing the Zenith platform ("the Service"), you agree to be legally bound by these Institutional Terms of Service. If you are representing an organization, you affirm authority to bind said entity to these protocols.
2. Licensing and SKU Tiers
Nilus Lab provides tiered access to the Zenith Platform based on organization type and intended use:
- Academic Tier: For non-commercial research by accredited institutions. Results must be published with attribution to Nilus Lab.
- Biotech Pilot: Licensed for commercial target prioritization in early-stage biotechnology firms.
- Pharma Enterprise: Full commercial licensing for large-scale therapeutic discovery, includes dedicated compute nodes (~500M Parameter Manifolds) and technical diligence support.
3. Limitation of Liability
Nilus Lab provides simulations as a decision-support system. While Zenith v30.0 achieves 99.8% model fidelity, results are computational predictions. Users are responsible for independent wet-lab validation (In-vitro/In-vivo).
ZenithFold Output Terms
Conspicuous Compliance Notice
Structure predictions or structural derivatives generated by, downloaded from, or loaded into the Nilus Lab Zenith platform may contain outputs generated by Google DeepMind's ZenithFold Server. All such outputs ("Output") and substantially derived structures ("Derivatives") are subject to the ZenithFold Model Output Terms of Use found at alphafoldserver.com/output-terms.
Zenith does not run AlphaFold2 or AlphaFold3 internally. ZenithFold Server-compatible files, where present, are manifest exports for external manual review only. Native complex predictions inside Zenith are powered by Boltz API unless explicitly stated otherwise.
Nilus Lab is not affiliated with, endorsed by, or sponsored by Google DeepMind.
Use Restrictions
You agree to comply with the following enforceable use restrictions. You must not use nor allow others to use Output or Derivatives:
- On behalf of a commercial organization or in connection with any commercial activities, including research on behalf of a commercial organization or sharing or using Output or Derivatives in a manner that will grant a commercial organization any rights in Output or Derivatives, in each case aside from indirectly via a scientific publication, open source release or to support journalism.
- In connection with any automated system that predicts the binding or interaction of the protein with ligands or peptides, including, but not limited to, Glide or AutoDock.
- To train machine learning models or related technology for biomolecular structure prediction similar to Google DeepMind's ZenithFold technology.
- Without providing conspicuous notice that published or distributed Output or Derivatives are provided under and subject to these Terms and of any modifications you make to Output.
- To misinform, misrepresent or mislead, including misrepresenting your relationship with Google, misrepresenting the origin of Output or Derivatives, or distributing misleading claims of capability in healthcare.
- To perform or facilitate dangerous, illegal or malicious activities.
If you remove these Terms or notices from the Output, you must ensure further distribution is accompanied by a “Legally Binding Terms of Use” text file containing the notice: “This information is subject to ZenithFold Model Output Terms of Use found at alphafoldserver.com/output-terms”.
Privacy Policy
1. Protocol Data Collection
We collect minimal personal metadata necessary for authentication, specifically institutional email address and encrypted password hash via Firebase/Google protocols.
2. Intellectual Property (IP)
Any parameters, gene sets, or protocol configurations uploaded to the Zenith platform remain the exclusive intellectual property of the licensed user/organization. Nilus Lab does not use private simulation inputs for base-model training.
3. Institutional Telemetry
We collect anonymous system telemetry (e.g., vCPU load, inference latency) to ensure platform stability and node health across the Zenith cluster.
GDPR Compliance EU CERTIFIED
Nilus Lab Group is committed to full compliance with the General Data Protection Regulation (GDPR).
All institutional data is stored on nodes located within the European Economic Area (EEA) or jurisdictions with equivalent data protection protocols.
Research Data Ops
Institutional Data Rights
Users maintain the right to complete account erasure and simulation history purging. Requests for data portability (JSON/CSV) are processed within 2 institutional business hours.
Open Source & Model Licensing Attribution
ZenithFold and Nilus Atomix structural prediction modules utilize underlying open-source model architectures and weights (Boltz-1 and ESMFold) licensed under the MIT License.