Summary of visited pages and findings: Aurora AI is a no-code knowledge-driven AI workspace for teams designed to centralize knowledge, reduce tool-switching, and scale AI across organizations. Features include shared workspaces, centralized knowledge base, Aurora Docs (note-taking → structured knowledge), Liquid Docs (convert long-form into presentation-ready output), AI Chat (context-aware answers), chain-of-thought prompting, citations/anchoring to internal knowledge, and SmartFlows for repeatable workflows. Pricing information is not publicly listed; signup may reveal tiers, with a no credit card requirement noted. The Privacy Policy states data handling, security (AES-256), and that customer data is not used to train Aurora’s LLMs; OpenAI and Microsoft Clarity are used for certain services. Contact is [email protected]; the official contact page sometimes returns 404. Other pages include Playbooks & Templates, Learning Vault, and the Refund Policy. There are gaps like missing explicit pricing, broken contact URL, and limited third-party pricing comparisons. Suggested next steps include requesting pricing/enterprise quotes, soliciting security docs, and testing free signup features.