Avoma vs Gong: pricing, features and which to choose

Avoma is a hosted AI meeting and revenue intelligence platform for sales and revenue teams. The company says it was founded in 2017 by Aditya Kothadiya, Devendra Laulkar, and Albert Lai, and publicly launched its AI meeting assistant in 2019. Avoma reported a $3 million seed round in 2020 and a $12 million Series A in 2021, bringing reported funding to $15 million. Its product includes meeting recording, transcription, summaries, scheduling, conversation intelligence, revenue intelligence, and CRM workflows. Avoma sells the service as SaaS, with paid recorder seats and free view-only access for collaborators. It does not offer a self-hosted or open-source edition. The company positions the product for teams that need meeting content connected to sales operations.

Avoma's typical workflow starts with a connected Zoom, Microsoft Teams, Google Meet, Webex, or GoToMeeting session. The AI Meeting Assistant records and transcribes the conversation, then generates summaries, action items, follow-up emails, and searchable meeting content. Users can apply templates, topics, playlists, and coaching criteria, or ask questions through Ask Avoma. Scheduler supports one-to-one and group booking, while Lead Router supports routing and round-robin assignment. CRM and dialer integrations send meeting information into sales systems. Teams can review calls, compare conversation patterns, monitor deal activity, and analyze pipeline information. API and webhook access is listed for Organization and Enterprise plans. The result is a meeting-centered layer around existing conferencing, CRM, and sales tools.

Avoma focuses more narrowly on meeting-centered sales intelligence than a complete sales system. Close combines CRM records with native email, calling, SMS, and sales automation, while Gong centers on revenue intelligence and conversation analysis. Fireflies.ai and Otter.ai concentrate more heavily on recording, transcription, and meeting summaries. Avoma can become more expensive when teams add conversation intelligence, revenue intelligence, Lead Router, or Enterprise controls. Published Startup seat limits differ across Avoma pages, and customers remain responsible for recording consent and lawful use. The company says customer data is not used to train its models. Sales teams with an existing CRM should pick Avoma when meeting intelligence, scheduling, and pipeline context matter more than native CRM engagement.

Gong is a revenue technology company founded in 2015. It began with conversation recording and analysis and now presents its product as a Revenue AI OS for revenue teams. The platform captures customer interactions, connects them with revenue data, and supports workflows for sales, customer success, enablement, forecasting, engagement, and account management. Gong describes its architecture through the Revenue Graph, AI agents, applications, and operating surfaces. Current product areas include Gong Engage, Gong Forecast, Gong Enable, Gong Agents, Account Boards, Account Console, and related revenue applications. Gong announced more than 4,800 customer companies in October 2025. The company continues to publish product announcements, documentation, and security updates.

Gong connects recorded calls, emails, meetings, CRM information, and other digital interactions into searchable revenue context. Its API can accept calls recorded by other systems and CRM data, then return transcripts, participants, topics, trackers, comments, scorecards, analyzed call information, team activity, and interaction statistics. Teams can use this information for call review, coaching, deal inspection, pipeline risk analysis, forecasting, account management, customer handoffs, custom reporting, and custom workflows. Gong Engage supports sales outreach, while Gong Forecast supports pipeline visibility and forecasting. Gong Enable uses customer conversations for coaching, guided practice, and measurement. AI agents support transcription, briefings, question answering, task suggestions, email composition, deal review, deal prediction, revenue prediction, tracking, and theme detection.

Gong credits are usage units for selected AI processing. Each paid core seat includes 2,000 annual credits in a company-wide pool that resets at the start of each contract year. Ten emails consume one credit, calls longer than ten minutes consume one credit, and calls up to ten minutes consume 0.3 credits. Selected trackers, API and MCP requests, deep mode, Gong Enrich, and automated briefs can consume credits. When the pool is exhausted, credit-based processing stops while existing data remains available; API requests can fail, automated briefs can stop updating, and trackers must be resumed after credits are added. Purchased credits expire at the end of the contract term.