Macha

Mava: The Complete Guide (2026)

Abbas, Customer Support & AI, Macha

Written by

Ankeet Guha, Co-founder & CTO, Macha

Reviewed by

Published September 18, 2026

Updated September 18, 2026

Mava is a customer support platform built for community-driven companies, unifying Discord, Telegram, Slack, email, and web chat into one shared inbox with an AI agent trained on a team's own knowledge base. This guide covers what Mava actually does, its real published pricing, where it holds up and where it doesn't, and how it compares to the alternatives worth putting next to it.

Mava: The Complete Guide (2026)

We build AI agents for customer service ourselves, so this is written by people who have to evaluate platforms like Mava in practice. We checked Mava's own site directly for every claim below instead of working from a review aggregator, and we confirmed the site is live and active before starting, since this vendor shares a name with unrelated brands in other categories.

What is Mava?

Mava's homepage, headlined "Customer Support Built for Modern Teams," with a Get Started Free button.
Mava's homepage, headlined "Customer Support Built for Modern Teams," with a Get Started Free button.

Mava was co-founded by Iris ten Teije, Ben Riazy, and Richard Draper, per the company's own about page. Ten Teije previously built a fintech startup backed by Visa Ventures and runs one of London's larger web3 communities; Riazy spent a decade in engineering leadership including at HSBC; Draper brings traditional finance experience from Barclays and UBS. Mava's own site doesn't state a founding year, team size, or funding history. A third-party Indie Hackers interview with ten Teije mentions a six-person team and 5,000 accounts at the time of that conversation. That's a snapshot from an interview; it isn't a confirmed, current number.

On its own site, Mava claims 3.5 million-plus private tickets processed, 3,000-plus support teams using the platform, 150,000-plus public AI responses, and a 60% ticket reduction figure attributed to AI. Named customers include Layer3, Getgems.io, and Fusionist, alongside TikTok and Alchemy. The customer mix, several crypto and web3-native companies alongside two much larger mainstream names, matches the "community-driven company" positioning Mava leads with: its origin channels are Discord and Telegram, the two platforms where crypto and gaming communities actually organize.

How Mava's AI works

The mechanism worth understanding is that Mava treats Discord and Telegram messages as support tickets, the same way a help desk treats an email. A community member's question in a public Discord channel or a Telegram group gets pulled into Mava's shared inbox, tagged, and routed, instead of scrolling past unanswered in a chat log the way most community questions do without a dedicated tool.

Mava's shared inbox product page: "effortlessly manage thousands of customer interactions" from one inbox.
Mava's shared inbox product page: "effortlessly manage thousands of customer interactions" from one inbox.

On top of that inbox, Mava trains an AI agent directly on a team's existing knowledge base, described on its own site as ready to go "in minutes." The AI answers directly where it can and hands off to a human when it can't, with what Mava calls "seamless human handover." A detail specific to Mava's community focus: the Growth plan and above let a team train the AI on its own past Discord replies, not just static documentation, so the agent learns the actual language and tone a community's moderators already use to answer recurring questions.

Mava's AI product page, headlined "Never answer the same question twice," describing an agent trained on docs and Discord.
Mava's AI product page, headlined "Never answer the same question twice," describing an agent trained on docs and Discord.

Public and private tickets

Mava's own metrics distinguish between "private tickets" (roughly 3.5 million) and "public AI responses" (roughly 150,000), which reflects a real structural difference in how community support works compared to a traditional help desk. A public Discord or Telegram message often gets answered visibly, in front of the whole community, which means one good AI answer can pre-empt several duplicate questions from other members watching the same channel. A private email-style ticket doesn't have that multiplier effect.

Key features

  • Shared inbox unifying Discord, Telegram, Slack, email, and web chat.
  • AI support agent trained on a team's existing knowledge base, with human handover.
  • Training on past Discord replies (Growth plan and above), instead of static docs alone.
  • Multi-lingual AI bot (Scale plan and above).
  • SDK, webhooks, and API access (Scale plan and above).
  • Rule- and time-based automations (Enterprise plan).
  • Analytics dashboard tracking response times, AI resolution rate, ticket volume, and CSAT.

Mava pricing

Mava publishes real, checkable pricing on its own site, with a genuine free tier. We checked for an AWS, Azure, or Google Cloud Marketplace listing and a Vendr entry, since a vendor's own "not published" page can hide a marketplace price elsewhere; neither exists for Mava, so the numbers below are what it actually charges, confirmed on its own page.

Mava's pricing page, headlined "Great support shouldn't cost a fortune," with five tiers from Free to Enterprise.
Mava's pricing page, headlined "Great support shouldn't cost a fortune," with five tiers from Free to Enterprise.
PlanPrice/monthRequests/monthSeatsNotable inclusions
Free$0301All channels, 2 AI training sources, 5 template answers
Founder$39 ($33 annual)10035 AI training sources, web chat customization, 30-day analytics
Growth$99 ($83 annual)500UnlimitedTrain AI on Discord replies, scripted AI replies, 90-day analytics
Scale$199 ($166 annual)2,000UnlimitedMulti-lingual AI bot, SDK/webhooks/API, custom email domain, all-time analytics
Enterprise$599 ($499 annual)10,000UnlimitedUnlimited AI training sources, rule/time-based automations, priority support

Above Enterprise, Mava offers a Custom tier for higher volumes, negotiated directly. The Free plan requires no credit card and includes all channels from the start, which is a genuinely usable evaluation tier, not a stripped demo: a small community running under 30 support requests a month could operate on it indefinitely.

The jump most worth noticing is Founder to Growth: seats go from 3 to unlimited and the AI gains the ability to train on a community's own past Discord replies, at roughly 2.5x the price. Removing the seat cap at that specific jump optimizes for the real shape of community moderation, which is usually a volunteer or part-time team larger than three people, rather than a small paid support desk. For a community-support team, that seat cap removal usually matters more than the price difference itself.

What actual users say

Mava has no listing with enough reviews on G2 to show a rating as of this writing. On Capterra, it holds a 4.8 out of 5 average across 31 verified reviews, checked 2026-09-15, with a 4.7 ease-of-use score. Three attributed examples:

  • James P., Director of Community in entertainment, calls it "easy to setup, use, and responsive team" (Capterra, checked 2026-09-15 — Capterra blocks automated link checks, so it is cited without a link).
  • Mike R., a Community Manager in media production, writes that "you can do more with Mava than a basic system...more affordable yet less complex than higher-end platforms" (Capterra, checked 2026-09-15 — Capterra blocks automated link checks, so it is cited without a link).
  • Alice N., in Community Ops at an internet company, credits "the ability to pull support tickets from multiple platforms, the uptime of the service, and the quick response from the Mava team" (Capterra, checked 2026-09-15 — Capterra blocks automated link checks, so it is cited without a link).

The recurring complaint across those reviews isn't the AI's accuracy, it's the tier structure: several reviewers flagged that automation and analytics depth are locked behind the higher plans, and asked for more customization and a mobile app. That matches what the pricing table above shows directly: the Founder-to-Growth jump is where the real capability gap sits.

How we researched this: we worked from Mava's own homepage, pricing, about, shared-inbox, and AI product pages (fetched directly, 2026-09-15), plus Capterra's review page for user sentiment (G2 had no usable listing) and a third-party Indie Hackers interview for the one unconfirmed founding detail, which we've hedged rather than stated as fact. We could not verify a founding year, team size, or funding round from any primary source, and Mava doesn't publish one.

Pros and cons

Pros

  • Real, published pricing including a genuinely usable free tier, no credit card required.
  • Purpose-built for Discord and Telegram, channels most traditional help desks treat as an afterthought or don't support at all.
  • Training the AI on past Discord replies captures a community's actual tone, not just its documentation.
  • Named customers spanning crypto-native companies and mainstream brands (TikTok, Alchemy).

Cons

  • Founding year, team size, and funding are undisclosed on Mava's own site, thin verifiable company history for a buyer doing due diligence.
  • The Founder and Growth plans share the same request cap structure jump as most tiers, so a fast-growing community can outgrow a plan's request limit before it outgrows the seat or feature limits.
  • Narrowly built for community and web3-style support; a traditional B2C ecommerce or B2B SaaS team gets little benefit from the Discord/Telegram-native design.
  • Multi-lingual AI and API access are gated to the Scale plan, a real jump from Growth for a team that specifically needs those two features early.

Who Mava is best for

Mava fits a community-driven company, crypto, web3, gaming, or any brand whose support conversations genuinely happen in Discord and Telegram instead of email, that wants those public and private messages turned into tracked, AI-assisted tickets. The free tier and the Founder plan make it realistic for a small team or a single moderator to start immediately.

Mava suits teams that measure support volume in Discord messages and Telegram threads, not inbox tickets. It's a weaker fit for a company whose support runs primarily through a traditional help desk and email, since Mava's core design advantage, treating community chat platforms as first-class ticket sources, doesn't add much value if a team's customers were never in Discord or Telegram to begin with. A team in that position gets more value from a tool built around the channels it already uses.

Mava vs alternatives

MavaDecagonMacha
ModelAI support agent for Discord/Telegram/web communitiesEnterprise conversational AI agent platformAI agent layer on your existing help desk
Best forCommunity-driven companies (crypto, web3, gaming)Large enterprises with dedicated AI/CX budgetTeams on Zendesk, Freshdesk, Gorgias, or Front
Pricing$0-$599/mo, published, plus custom aboveOpaque, enterprise sales cycleFrom $299/mo for 750 tickets (~$0.40/ticket), published
SetupSelf-serve, live in about 20 minutes per its own siteSales-led, multi-week implementationBuilt, tested, and monitored by the Macha team
TrialFree plan, no credit cardNo self-serve trial$50 free usage
Replaces your help desk?Yes, for community-first teamsNo, but often the primary AI layerNo, deliberately augments it
Decagon's homepage, headlined "The AI concierge for every customer," with a work-email field and a Get a demo button.
Decagon's homepage, headlined "The AI concierge for every customer," with a work-email field and a Get a demo button.

Mava and Macha serve genuinely different support shapes. Mava is built around community chat platforms as the primary support surface; Macha runs as an agent layer on top of the help desk a team already uses, like Zendesk, Freshdesk, Gorgias, or Front. A team whose customers reach out mainly through Discord or Telegram, the way a crypto project's users do, is Mava's actual audience. A team whose support already flows through a conventional help desk and wants those existing tickets automated fits Macha's shape instead. For a broader, non-community-specific enterprise AI platform, Decagon sits at a different point on the market, aimed at large enterprises rather than community-first teams evaluating a free tier this afternoon. If your team runs on Chatbase-style scripted flows instead, the Chatbase guide covers that shape too.

If a team's support load already sits inside a conventional help desk rather than Discord or Telegram, see how Macha's pricing works or start a $50 free trial to try the agent layer against real tickets.

FAQ

What is Mava? Mava (mava.app) is a customer support platform for community-driven companies, unifying Discord, Telegram, Slack, email, and web chat into one shared inbox with an AI agent trained on a team's knowledge base.

How much does Mava cost? Free is $0/month for 30 requests. Founder is $39/month, Growth is $99/month, Scale is $199/month, and Enterprise is $599/month, each with a discount for annual billing, plus a Custom tier above that for higher volumes.

Does Mava have a free plan? Yes, a genuinely usable free tier with no credit card required, including all channels, 1 seat, and 2 AI training sources.

Who founded Mava? Mava was co-founded by Iris ten Teije, Ben Riazy, and Richard Draper. The company's own site doesn't state a founding year, team size, or funding history; a third-party Indie Hackers interview with ten Teije mentions a six-person team and 5,000 accounts as of that conversation.

What channels does Mava support? Discord, Telegram, Slack, email, and web chat, unified into one shared inbox.

Can Mava's AI learn from Discord conversations? Yes. From the Growth plan up, Mava can train its AI agent on a team's own past Discord replies instead of static documentation alone, which is specific to its community-support focus.

Which companies use Mava? Mava's own site names Layer3, Getgems.io, Fusionist, TikTok, and Alchemy among its customers.

What's a good alternative to Mava for a team using a traditional help desk? Macha runs as an agent layer on top of the help desk (Zendesk, Freshdesk, Gorgias, or Front) a team already uses, instead of a community-chat-first platform, and Decagon is a closer comparison for a large enterprise evaluating a broader conversational AI platform.

Sources: Mava homepage, Mava pricing, Mava about page.

Macha

About Macha

Macha is an AI agent platform that works on top of the help desk you already use — Zendesk, Freshdesk, Gorgias, or Front — and connects to the rest of your stack, even your own internal systems. Its AI agents resolve tickets and automate entire workflows end to end, all set up in plain English, no code. Learn more about Macha →

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