Harmony

Harmony vs. Otter.ai

Veja como nos comparamos nas capacidades que importam para inteligência conversacional.

CapacidadeHarmonyOtter.ai
Principal
Independente de fonte
Independente de modelo
Entre equipes
Espaço de trabalho de IA
Auto-hospedado
Data lake conversacional
Pronto para enterprise

Overview

Otter.ai has crossed $100M ARR and serves 10M+ users, positioning as an "AI Meeting Agent." Core features include OtterPilot auto-join, real-time transcription, AI Chat for meeting queries, and slide capture. A newer Otter Sales Agent provides sales insights on Enterprise.

Pricing

Plan Annual price
Basic (Free)$0 (300 min/month)
Pro$8.33/seat/mo (1,200 min/month)
Business$20/seat/mo (6,000 min/month)
EnterpriseCustom

Minute caps on Pro were reduced from 6,000 to 1,200, causing significant user backlash.

Security & Data Residency

Otter stores all data in the US with no EU data residency option. Its privacy policy allows use of customer data to improve services unless on Enterprise. No ISO 27001. Language support is extremely limited — only English, French, and Spanish.

Key Differences

Personal tool vs. organizational infrastructure. Otter works well for individual note-taking but lacks the multi-team workflows, role-based access controls, and organizational insights that enterprises need. Harmony is built for every team that has conversations.

Conversation data lake. Otter stores transcripts in its cloud but doesn't provide a unified data layer you can pipe into your own systems. Harmony turns every conversation into a queryable data asset you own.

AI workspace. Harmony is a full AI client in the same class as ChatGPT or Claude, with projects, connectors, skills, and agents. Otter's AI features are limited to summaries and action items within its own app.

Platform limitations. Only 3 platform integrations (Zoom, Meet, Teams), no IVR or phone support, aggressive auto-joining behavior, and transcription accuracy reported lower than competitors (85–90%).

When to Choose Harmony

Otter is a good fit for individuals or small teams that mainly need basic transcription. But when conversations are a strategic asset for your organization — requiring data ownership, EU residency, cross-team intelligence, and AI flexibility — you need infrastructure, not an app.