Avoma

What Avoma is

Avoma is an AI meeting assistant and conversation intelligence platform. It records meetings, transcribes them, generates notes, and turns spoken customer conversations into structured information. The product is aimed at sales, customer success, and revenue teams that want fewer manual notes and more usable follow-up data after calls.

The company was founded in late 2017 in Palo Alto, California. Its name is short for A Very Organized Meeting Assistant. The founding team includes Aditya Kothadiya as CEO, Devendra Laulkar as CTO, and Albert Lai as AI head. Avoma has raised $15M in funding, including a $3M Seed led by K9 Ventures and a $12M Series A led by Headline. HubSpot Ventures and the Zoom Apps Fund also back the company.

Avoma serves more than 1,000 organizations. Those organizations work in software, financial services, healthcare, and professional services. The platform is positioned for teams that need meeting follow-up, call analysis, and CRM updates from customer conversations. It is also positioned for teams that want cross-functional visibility across sales, customer success, and product groups.

The core problem is simple. In a live meeting, a person must either listen or write. Avoma tries to remove that choice. It captures the conversation, produces notes, and preserves the details that would otherwise disappear after the call ends. For a revenue team, that matters because deals, objections, next steps, and account context often live inside meetings.

Avoma is not described as a prospecting database or a full outreach suite. Its focus is the meeting itself and the information that comes out of it. That focus shapes the rest of the buying decision. If your team mainly needs call capture, notes, coaching, and revenue follow-up, Avoma fits the category. If your team needs account data, buyer intent, or outreach tools in the same purchase, this product does not cover that full scope.

Key capabilities

Avoma's main capability is AI-powered meeting notes. The platform provides automatic transcription and AI-generated summaries. That means a meeting can finish with a written record instead of relying on memory or manual follow-up. For teams that run many customer calls, this reduces the time spent writing notes after each conversation.

Meeting collaboration is another part of the product. Avoma supports live note editing, playback, and smart topic tracking. These features matter when more than one person needs to review the same call. A manager can review a recording. A customer success manager can find a topic. A sales rep can return to a moment in the conversation without listening to the whole meeting again.

Conversation intelligence adds analysis on top of the recording. Avoma can look at talk ratio, engagement tracking, and coaching insights. Talk ratio shows who spoke and how much. Engagement tracking gives a sense of how the conversation landed. Coaching insights are aimed at managers and team leads who need to improve rep performance. This is the part of Avoma that moves beyond note-taking and into sales execution.

Revenue intelligence is the next layer. Avoma offers pipeline tracking, risk scoring, and CRM field automation. Pipeline tracking connects conversations to deal progress. Risk scoring flags deals that may be in trouble. CRM field automation updates customer records without manual entry. The stated benefit is that teams can keep data current and intervene earlier when a deal looks weak.

Integrations are central to this kind of product. Avoma works with Salesforce, HubSpot, Zoom, and Microsoft Teams. It also connects with Slack. These integrations matter because meeting notes are only useful when they reach the systems where the team already works. A note that stays in a separate tool creates another place to search. A note that lands in the CRM becomes part of the account record.

Avoma also includes a scheduler and lead router. The scheduler is part of the product line. The lead router is aimed at directing leads to the right person. This is a useful addition for teams that want meeting setup and meeting follow-up in the same system. It also shows that Avoma is not only a recorder. It reaches into the workflow before and after the call.

• Automatic transcription and AI-generated summaries.
• Talk ratio analysis and engagement tracking.
• Coaching insights for sales managers.
• Pipeline tracking and risk scoring.
• CRM field automation.
• Live note editing and playback.
• Smart topic tracking.
• Integrations with Salesforce, HubSpot, Zoom, Microsoft Teams, and Slack.

Pricing explained

Avoma starts at $19 per user per month when billed annually. That is the only published price point stated. The important detail is that conversation intelligence and revenue intelligence are paid add-ons. The starting price does not tell the whole story. A team that wants call analysis, coaching, pipeline tracking, or CRM automation needs to treat those as separate cost items.

This pricing structure has a practical effect. The entry price looks low, but the working price can be higher once the relevant add-ons are included. A buyer should not compare Avoma only on the $19 figure. The real comparison should be based on the package that matches the team's actual needs. If the team only needs transcription and notes, the starting price may be enough. If the team needs conversation intelligence or revenue intelligence, the cost changes.

Annual billing is part of the stated price. That matters because annual contracts change the risk. A team pays for a year instead of testing month by month. For a small team, annual billing can be manageable. For a team that is still deciding whether meeting intelligence works, it creates a longer commitment. The buyer should be clear about the number of users, the add-ons required, and the total annual cost before signing.

The published pricing information does not provide a full breakdown for every plan. It also does not state the exact cost of each add-on. That leaves a gap for buyers who want a precise budget. The safe way to price Avoma is to start with the $19 annual rate, then add the cost of the intelligence features the team actually requires. Without that second step, the sticker price is incomplete.

There is also a value question. Avoma can save time on notes and CRM updates. It can also reduce the amount of manual review needed after calls. Those savings are easier to justify when the team runs many customer meetings. A team with only a few calls per week may not get enough value to justify paid add-ons. A team with a heavy call volume has a clearer case.

How it compares

Avoma is positioned as a cheaper alternative to Gong for teams under 100 people. That comparison is useful because it defines the segment. Avoma is aimed at smaller revenue teams that want conversation intelligence and coaching without enterprise pricing. It is not framed as a large enterprise suite. It is framed as a practical tool for teams that need call visibility without buying a much larger platform.

The comparison with broader go-to-market platforms is different. Avoma does not provide B2B prospecting data. It does not provide intent signals, technographics, or buyer behavior data for prioritizing accounts. It is not a single platform spanning data, outreach, and deal execution. It also does not connect conversation intelligence to a verified contact database. Those are separate capabilities, and they matter for teams that want one system for the whole revenue motion.

Avoma's strength is narrower. It focuses on the meeting and the data that comes from it. That can be an advantage. A smaller team often does not need a massive data platform. It needs a reliable way to capture calls, coach reps, and keep the CRM current. Avoma is built for that job. Its integrations with Salesforce, HubSpot, Zoom, Microsoft Teams, and Slack support the workflow around the call.

The product also supports cross-functional visibility. Sales, customer success, and product teams can use meeting information in different ways. Sales can coach reps and track deals. Customer success can review account conversations. Product can hear customer language and track topics. This is a practical benefit when meetings are the main source of customer truth. It reduces the need for people to ask each other what happened on a call.

The trade-off is scope. Avoma is not trying to be everything. It is a meeting intelligence tool with add-ons, not a full revenue data platform. That makes it easier to understand, but it also means the buyer must know what is missing. If the team already has prospecting, intent, and outreach tools, Avoma can sit alongside them. If the team expects one purchase to replace several systems, Avoma will not do that.

Who should skip it

Teams that need B2B prospecting data should skip Avoma. The product does not provide a contact database. It does not provide intent signals or technographics. It does not prioritize accounts based on buyer behavior data. If your main problem is finding people to contact, Avoma does not solve that problem. It starts after the meeting exists.

Teams that want a single platform for data, outreach, and deal execution should also look elsewhere. Avoma is focused on meeting capture, analysis, and follow-up. It does not span the full go-to-market cycle. A team that wants one system for identifying accounts, drafting outreach, analyzing conversations, and forecasting pipeline will need a broader platform. Avoma can be part of that stack, but it is not the whole stack.

Teams that require conversation intelligence connected to a verified contact database should skip it too. Avoma's intelligence comes from meetings. It does not attach those meetings to a broader verified contact and account data layer inside the same product. That separation may be fine for teams that already have clean CRM data. It is a limitation for teams that want the data and the conversation tool in one place.

Buyers who need exact pricing before evaluation may also struggle with Avoma. The public starting price is clear, but the add-on structure means the final cost is not fully visible from that number alone. A buyer should ask for the total cost with conversation intelligence and revenue intelligence included. If that total is not comfortable, the product may not fit the budget.

Teams that treat reliability and transcription accuracy as non-negotiable should evaluate carefully. Avoma may not be the best choice when those requirements are absolute. That is a serious caveat for any meeting intelligence tool. If your team depends on exact transcripts for compliance, legal review, or detailed coaching, you should test the product hard before committing. The product is aimed at teams under 100 people that want a cheaper alternative to Gong.

Finally, teams that only need a simple recorder may not need the add-ons. If the goal is only transcription and basic summaries, the paid intelligence layers may be unnecessary. That makes Avoma less attractive for buyers who want one low price with everything included. It is more attractive for buyers who specifically want the coaching and revenue layers and are willing to price them separately.