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support@aiconsortium.cloudFrequently Asked Questions
How do I request early access to Clark?
Early access is available to research institutions, enterprises, and government bodies. Submit a request via our contact form with your organisation details, intended use case, and scale requirements. Our team will review and respond within 5 business days.
What languages does Clark support?
Clark understands 100+ languages, spanning every major world language alongside a deep set of regional and low-resource languages that most platforms overlook, and many others. Multilingual performance is a core architectural priority, not an afterthought.
Can Clark be deployed on-premise?
Yes. AICONSORTIUM's FOR PROFIT tier is designed specifically for on-premise and air-gapped deployment. We support private cloud, bare-metal, and hybrid configurations. Contact our enterprise team to discuss deployment architecture for your specific environment.
How does the Federated Mesh work?
The Federated Mesh enables multiple specialist AI models to collaborate across sovereign compute boundaries without any single node seeing the full dataset. Each node processes within its own boundary, while the orchestration layer synthesises outputs. See Inside Clark for the technical details.
How does AICONSORTIUM handle data protection?
AICONSORTIUM is designed from the ground up to comply with modern data-protection law worldwide, including the GDPR, the DPDPA, and equivalent frameworks aligned principles for the jurisdictions we serve. On-premise deployments ensure data never leaves customer infrastructure. Our legal and compliance team can provide detailed documentation upon request.
How do I report a security vulnerability?
We take security seriously. Report vulnerabilities through our Responsible Disclosure Policy or email support@aiconsortium.cloud. We acknowledge all reports within 48 hours and commit to responsible remediation timelines.
What is AICONSORTIUM's open research policy?
AICONSORTIUM publishes its research openly. We believe the global AI ecosystem is strengthened when knowledge is shared. Technical papers, architecture documents, and benchmark results are published on our Research page and on arXiv.
Still stuck?
Write to us directly and a real person will get back to you within one to two business days. Urgent production issues from enterprise customers are handled on their agreed SLA.