The agent assembled a partial but honest picture of Zati's compliance product from two fetched pages, identifying what the product does and who it targets but hitting a wall on pricing, security, integrations, and competitive positioning. The site is navigable but sparse — it describes the product but intentionally gates key details (pricing, integrations, data handling) behind sales calls.

• ›The compliance-consultants landing page was the only substantial content retrieved; it described Zati's core product (AI workers for compliance work, daily review views, human gates) clearly enough for the agent to summarize. The main zati.run homepage added nothing — it is a generic placeholder landing page with no detail.
• ›Pricing, security/privacy, integrations, and competitive comparisons are completely absent from both pages. The site offers only a sign-in link and two Calendly booking links, signaling a sales-first, demo-driven go-to-market. The agent correctly flagged this as a major gap.
• ›The agent had to infer company identity (Sire Run, Inc., David Sire contact) from footer copyright and Calendly URL fragments, neither of which are explicitly stated on the pages. This is model inference, not site content.
• ›Feature descriptions use hedging language ('intended,' 'designed to') that leaves current availability unclear. The agent noted this but could not resolve it from the site.
• ›The site is intentionally shallow and directs prospects to book a call rather than self-serve research — typical for B2B enterprise software but frustrating for agent-driven exploration.