Product teams ship search once and forget it — until support tickets pile up. AACSearch gives your application typo-tolerant search over its own entities with per-tenant isolation, so each customer searches only their own data, and you get the observability to prove it works.
One collection per entity type — documents, tickets, people — with the fields your UI filters on.
Per-tenant search keys embed a filter so a token can only ever read its own slice.
Search analytics, query suggestions and the quality lab show what users look for and where relevance fails.
Tenant isolation is enforced at the key and collection level, and the audit log records every administrative change.
Ranking is tunable per collection — tickets by recency, contacts by interaction count, documents by title matches.
Quotas are per tenant and per key, with webhooks when usage approaches the limit — no surprise invoices.
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The best way to evaluate a search platform isn't reading one more comparison table.
Only then make the decision.