Avoma

Avoma sits at the intersection of AI meeting assistant and revenue intelligence platform. It can transcribe and summarize any meeting, but its real strength is sales-specific: deal tracking, coaching scorecards, competitive intelligence extraction, and CRM automation. This is not a tool for casual meeting notes. It is sales infrastructure that happens to include meeting recording.

By default the platform records meetings via a bot on Zoom, Google Meet, Microsoft Teams, and other platforms. It also supports bot-less native recording, importing Zoom, Webex, and Teams cloud recordings from the host’s account, and a mobile app covers in-person meetings. Avoma’s AI analyzes conversations to extract not just summaries but structured sales data: objections raised, competitors mentioned, next steps committed, and buyer sentiment. That intelligence syncs automatically to CRM platforms, giving sales managers visibility into deal progression without relying on reps to update their pipelines by hand.

Over the past year Avoma has pushed past its retrospective roots. A Live Answer Assistant, sold as part of the Conversation Intelligence add-on, now surfaces context-aware answer cards during a live call, putting proven responses to common objections in front of a rep while the conversation is still happening. The Ask Avoma copilot lets users query across transcripts, deals, and accounts in natural language, and the same engine powers a chatbot for pipeline questions. Coaching scorecards still evaluate calls against customizable criteria, so managers can review how reps handle objections, position value, and drive next steps.

Key Features

Avoma’s revenue intelligence engine analyzes sales conversations to extract deal-relevant data, competitive mentions, and buyer signals. The Live Answer Assistant (Conversation Intelligence add-on) delivers real-time answer cards mid-call, so objection handling is no longer purely a post-call coaching exercise. The Ask Avoma copilot supports ask-anything querying across meetings, deals, and accounts. Coaching scorecards grade calls against configurable criteria. CRM auto-sync pushes meeting intelligence directly to Salesforce, HubSpot, and other systems. Topic and keyword tracking shows how subjects trend across customer conversations, and a conversation library organizes recordings by deal, account, or team. Multilingual coverage has expanded considerably: transcription and translation in 70+ languages, including real-time meeting translation.

Pricing

Avoma restructured its pricing well beyond the old Starter / Plus / Business ladder. There is a 14-day free trial but no permanent free plan, and viewer or collaborator seats remain free and unlimited.

The current structure uses three base recorder-seat plans plus separately priced add-on modules. Startup runs $19 per seat per month on annual billing for up to 25 seats. Organization is $29 per seat per month annual for up to 100 seats. Enterprise is $39 per seat per month, annual only, with a 10-seat minimum. Avoma did not confirm month-to-month prices when we checked.

The catch is that the features most people associate with Avoma are now paid add-ons rather than baked into a tier. Conversation Intelligence and Revenue Intelligence each cost $29 per seat per month on annual billing, and a Lead Router add-on adds another $19. Bundling knocks 10% off any two add-ons and 15% off all three. In practice, a fully-equipped sales rep with both core add-ons lands around $77 per seat per month on Startup, or $87 on Organization. Coaching scorecards, the Live Answer Assistant, and the deeper revenue features sit behind these add-ons, so the headline $19 figure understates what a working sales setup actually costs.

Privacy & Security

Avoma processes all meeting content through its cloud infrastructure. Given the nature of the data, which often includes pricing discussions, competitive intelligence, and customer-specific details, that cloud model deserves careful evaluation. Avoma offers enterprise security features including SSO and configurable data retention, holds SOC 2 Type II and ISO/IEC 42001:2023 (an AI management standard, not ISO 27001), covers GDPR and the EU-U.S. Data Privacy Framework, and offers HIPAA on Enterprise. We found no clear statement on whether customer data is used for model training. The underlying reality remains, though: every customer-facing conversation is stored and analyzed on third-party servers, which is a point procurement and legal teams should weigh.

One question is worth putting to the vendor in writing before an EU rollout. Article 5(1)(f) of the EU AI Act prohibits AI systems that infer a person’s emotions in the workplace from biometric data. The prohibition has applied since 2 February 2025, and the Act’s administrative fines under Article 99 have been available since 2 August 2025, reaching the higher of €35 million or 7% of worldwide annual turnover for prohibited practices. (2 August 2026 brought general applicability of the Act’s remaining obligations, not the start of the penalty regime.) The scope is narrower than the headlines suggest: the Commission’s guidelines place emotion inferred from written text outside the prohibition, which is where most transcript-based sentiment scoring sits. Inference drawn from vocal characteristics such as tone, pitch, or prosody is much closer to the line, because voice is a behavioural characteristic. Ask which method the sentiment feature actually uses, and whether it can be disabled for EU-based staff. Consent does not cure an Article 5 prohibition the way it can supply a lawful basis under GDPR.

Best For

Avoma is built for sales organizations with established CRM workflows and a commitment to data-driven coaching. Sales directors who want visibility into deal progression, revenue operations teams building conversation intelligence programs, and organizations investing in rep development will find genuine value, especially now that real-time answer cards help reps in the moment rather than only after the fact. It is not for individual users, non-sales teams, or anyone after a simple notes tool. The complexity and the add-on costs are hard to justify outside dedicated sales use.

As a company, Avoma is stable. It remains independent and privately held, having raised around $18 million across two rounds, and there has been no acquisition, shutdown, or rebrand. (It is unrelated to Avoca, a separately named AI company that raised a much larger round in 2026.)

How Avoma Compares to Hedy

These products serve different audiences. Avoma is a revenue intelligence platform with meeting recording built in; Hedy is a meeting intelligence tool with broad applicability. Avoma’s sales-specific depth, including deal tracking, coaching scorecards, and CRM auto-sync, goes well beyond anything Hedy offers for sales workflows, and its Live Answer Assistant now delivers real-time, sales-focused prompts during calls.

The differences that hold up are structural. Hedy runs its AI end-to-end on-device, with transcription, summaries, and real-time coaching all processing locally, and it captures meetings without a bot ever joining. Avoma sends every conversation to the cloud and records with a bot by default; its bot-less option imports cloud recordings from Zoom, Webex, or Teams, which still land on Avoma’s servers. Hedy works offline; Avoma does not. Hedy’s real-time coaching applies to any kind of conversation, while Avoma’s intelligence, real-time or retrospective, is built around sales. On price, Hedy is $12.99 per month flat, whereas Avoma starts at $19 per seat annual and climbs quickly once the sales add-ons are switched on. For dedicated sales teams, Avoma can earn its keep. For everyone else, Hedy offers more privacy, offline capability, and far better value.