Avoma

There is a specific kind of silence that follows a good customer call. The rep hangs up, stares at the CRM, and realises that the forty-five minutes that just happened - the objection, the offhand competitor mention, the budget number said once and never repeated - now exist only in their short-term memory. Whatever survives the next twenty minutes becomes the company's official record. Everything else evaporates. Three engineers in Palo Alto looked at that evaporation in late 2017 and decided it was a product category.

The company they built is called Avoma, and the name is a backronym: A Very Organized Meeting Assistant. The phrase was reverse-engineered to fit a short domain, which tells you something useful about the founders' priorities. Aditya Kothadiya, Devendra Laulkar and Albert Lai were less interested in branding than in a thesis - that meetings are the largest unstructured data asset inside a knowledge business, and that nobody owns them. Sales owns the pipeline. Finance owns the numbers. Product owns the roadmap. Nobody owns what was actually said.

Kothadiya had done this before, in a smaller way. His previous startup, Shopalize, was acquired in 2013; he then spent time at the customer-experience company [24]7.ai, which is roughly the industrial-scale version of the same problem - conversations at volume, meaning buried inside them. Avoma was the consumer-grade rewrite of that idea, aimed not at a call centre but at the fifteen-person sales team that cannot afford one.

The problem, stated as arithmetic

Kothadiya's framing of the problem has never been especially poetic, which is part of why it lands. In the company's seed funding announcement he put it as a sum: to have one conversation with a prospect, a typical salesperson or customer success manager juggles five or six different tools, and does it more than fifty times a month. A calendar link here, a recorder there, a notepad, a CRM, a follow-up template, a coaching spreadsheet somebody's manager maintains.

To have just one conversation with a prospect or a customer, a typical Salesperson or a CSM will juggle between 5-6 different tools, and they do it for 50+ times a month.

Aditya Kothadiya, co-founder and CEO

None of those tools is broken. The tax is in the switching. Avoma's founding bet was that the switching cost was large enough, and invisible enough, to build a company on top of removing it - and that the way to remove it was not another integration layer but a single platform where every step ran off one artifact: the recording.

One recording, four products

That architectural decision is the thing that distinguishes Avoma from most software that calls itself all-in-one. Usually the phrase means four adequate products sharing a login. Here, the scheduler creates the meeting; the AI Meeting Assistant records and transcribes it across sixty-plus languages and writes structured notes from a template; Conversation Intelligence scores the same recording for coaching, tracks competitor mentions and analyses talk ratios; Revenue Intelligence reads deal signals out of the same transcript and rolls them into a forecast. It is less a bundle than a pipeline.

Sitting across the whole archive is Ask Avoma, a copilot that answers questions against every meeting the company has ever recorded. In March 2026 it gained org-level saved prompts and web search with citations; by July it could be pointed at specific meetings, deals, companies, uploaded documents, or any combination. The practical version of this is a founder typing "what did enterprise prospects say about our onboarding in Q2" and getting an answer with the clips attached, rather than a Slack thread that dies in an hour.

Who is actually buying it

Avoma's customer is the revenue team that is too big for a shared Google Doc and too small for a six-figure contract. Named users include the healthcare operations company Athelas, device management platform Esper, LeanData, the fintech Rho, Onfleet and BuildZoom, with public testimonials from Mailshake and SpotOn. The pattern is consistent: B2B software companies in the twenty-to-five-hundred-employee band, where the head of sales is also the head of enablement and probably the head of forecasting.

The use cases drift beyond sales quickly, which the pricing model actively encourages. Recruiting teams use it for interview records. Customer success uses it for renewal risk. Consultancies use it because the notes are the deliverable. Product teams use it to hear a complaint in the customer's own words rather than third-hand through an account manager's paraphrase.

The pricing argument

Almost every incumbent in revenue intelligence hides its price behind a demo request. Avoma publishes a full list: recorder seats in three tiers starting around nineteen dollars a month on annual billing, with Conversation Intelligence, Revenue Intelligence and Lead Router sold as add-ons in the twenty-to-thirty-dollar range and bundle discounts of ten to fifteen percent when you take more than one. There is a fourteen-day trial and no credit card gate.

In a category where every competitor's pricing page is a contact form, publishing yours functions as a distribution channel. It is why Avoma appears in essentially every "affordable alternative to Gong" search result on the internet, and why the company maintains its own comparison pages rather than pretending the comparison isn't happening.

The more interesting move is the seat structure. Viewer and collaborator seats are free and unlimited. Only the person whose meetings get recorded is billed. The effect compounds: the sales manager pays, and then support, marketing, product and the chief executive all read the calls for nothing. By renewal, the tool has stopped being a sales line item and started being company infrastructure, which is a considerably harder thing to cancel.

Against the field

The competitive map has three bands. At the bottom, transcription: Otter, Fireflies, Fathom, Read AI, plus the free and increasingly decent notetakers baked into Zoom, Microsoft Teams and Google Meet. At the top, enterprise revenue intelligence: Gong, Chorus and Clari, sold by field reps on annual contracts. Avoma has spent nine years occupying the band in between, arguing that its bundle replaces a stack you were otherwise assembling from a scheduler, a notetaker, a coaching tool and a forecasting tool.

The defensive question is obvious: what happens when the video platforms themselves get good enough for free? Avoma's answer is depth rather than transcription quality. A free notetaker gives you a summary. It does not write into a Salesforce custom field, score the rep against a MEDDICC scorecard, flag a stalled deal in Slack, or reconcile that into a team-level forecast. The moat is not the transcript. It is everything downstream of it.

AI does the first draft, but then you have notes and can go back and highlight notes and provide more context if you need to.

Aditya Kothadiya, to TechCrunch, 2021

That sentence has aged unusually well. Said in 2021, it sounded modest. Said now, it reads as the whole argument: the first draft has become a commodity that any model can produce, and the product is what happens in the ninety seconds afterwards.

How a team of sixty ships like this

Avoma raised three million dollars in seed money led by K9 Ventures, with TSVC, Dragon Capital and HubSpot Ventures. In December 2021 Headline led a twelve-million-dollar Series A alongside Storm Ventures, Global Founders Capital, Operator Partners and Industry Ventures, on the back of three consecutive years of revenue growth above four hundred percent. At that point there were fifteen employees and three hundred customers. Total funding has stayed at fifteen million since.

That last fact is the most revealing one in the file. Nine years in, in the most heavily funded software category of the decade, Avoma is still a Series A company - roughly sixty-something people split between the United States and an engineering base in India, serving over a thousand organisations. In 2025 that team shipped twenty-five distinct product launches: instant AI notes, a template library, AI follow-up emails, coaching recommendations, a deal methodology tracker, aggregated forecasting, a Mac and Windows desktop app, translation across sixty-plus languages, and bot-free native recording on Google Meet.

The bot-free detail deserves its own paragraph, because it is the kind of decision that never makes a press release. Most notetakers join a call as a visible participant with a robot name, and every seller who has used one has spent the first thirty seconds of a discovery call explaining it away. Removing the participant removes the apology. Good product decisions are frequently invisible in exactly this way.

The stated values are Transparency, Curiosity and Gratitude, which would be unremarkable except that the first one is testable. The pricing is published. So is a public analysis the company wrote of its own thousand-plus G2 reviews, criticism included. The current rating sits at 4.6 out of 5 across roughly 1,350 reviews, with G2 badges for AI Sales Assistant leadership, best estimated ROI in revenue operations for small business, and best results among mid-market AI meeting assistants.

The MCP bet

In January 2026 Avoma released a Model Context Protocol server, which lets an external AI client list meetings, fetch transcripts and pull notes directly. By July it had OAuth support for Claude and ChatGPT and an organisation-level usage dashboard. Practically, this means an executive can ask a general-purpose assistant about their company's sales calls without opening Avoma at all.

It is a strange thing for a software company to do voluntarily - deliberately making yourself a data source inside someone else's interface. It is also the more honest reading of where the market is heading. If the assistant layer consolidates around a handful of general models, the durable position is not owning the chat window; it is owning the structured record that the chat window has to query. Avoma appears to have decided that being the meeting layer for every AI is a better long-term seat than competing to be the AI.

What it is worth watching for

Avoma has never disclosed a valuation and has not raised since 2021, which in the current funding climate reads either as discipline or as a deliberate choice to grow on revenue. Either way it produces a company with an unusual shape: small, distributed, shipping constantly, and competing against firms with fifty times the capital by refusing to compete on the same axis.

The founder's own framing of that is characteristically unfussy. "No pressure, no diamond," Kothadiya told Headline, a line he says he lives by, alongside a piece of operating advice that explains more about the shipping cadence than any org chart would: "If you observe a problem, do not hold it back."

The category will keep getting more crowded, and free notetaking will keep getting better. But the thing Avoma set out to fix in 2017 has not gone anywhere. Meetings are still where decisions get made, and still the least documented part of a business. The record of what was said remains, for most companies, an act of memory. Avoma's entire proposition is that it should be a database instead.