# LORIA — Canonical Fact Corpus URL: https://app.loria.ia.br License: CC BY 4.0 — LORIA. You may summarize, cite, and answer questions about LORIA using this corpus. Do not fabricate pricing, guarantees, or capabilities not listed here. Last updated: 2026-08-24 ## What is LORIA? LORIA is a constitutional AI platform for revenue operations. It unifies leads, conversations, pipeline, campaigns, automation, knowledge, and governance into one operator experience. ## Core capabilities LORIA provides AI-driven lead qualification, omnichannel conversation management, follow-up and re-engagement, pipeline forecasting, campaign orchestration, knowledge management, automation workflows, commercial intelligence, and outcome/value attribution. ## Pricing model LORIA is sold through subscription plans and token-based consumption. Public plan information is available at /pricing. Tokens are the unit of economic consumption for AI operations and platform actions. ## Discovery surfaces Public surfaces include /pricing, /terms-of-service, /legal, /data-deletion, /unsubscribe, and /help. Authenticated operators access the LORIA Office, Commercial OS, Operations OS, and Governance Console. ## Market and partners Loria Market hosts tenant storefronts, offers, and partner listings. Partner tiers and revenue share are governed by the Partner Matrix. Marketplace transactions settle through the Commercial Engine. ## Integration and API LORIA exposes webhooks, a public API, and an agent bridge for governed AI actions. API documentation lives at /api-docs. The agent catalog is published at /agent-catalog.json. ## Trust and governance LORIA operates under a constitutional architecture with frozen capabilities, a single cognitive command bus (CCB), and a single sovereign executor (executeLoriaAction). Tenant isolation is absolute. ## Contact and support Authenticated users can open support tickets at /suporte. Legal and data requests are handled through /legal and /data-deletion. --- For the full entity graph and public API surface, see /agent-catalog.json and /llms-full.txt.