Comparing Fin by Intercom and Hiver? Both are Help Desk & Ticketing tools in the directory, which is why buyers put them on the same shortlist. Below is a side-by-side look at how they price, what they integrate with, and when each is the better fit, so you can pick on the facts rather than either vendor's own sales page.
| Attribute | Fin by Intercom | Hiver |
|---|---|---|
| Pricing | Per resolution · $0.99/outcome; 50 outcomes/mo minimum | Paid · $25/user/mo billed annually |
| Founded | 2011 | 2011 |
| Categories | AI Agents & Chatbots Help Desk & Ticketing | Agent Assist & Copilots Help Desk & Ticketing |
| Integrations | Intercom Salesforce HubSpot Freshdesk Zoho Front Dixa Gorgias Sprinklr Statuspage Stripe | Gmail Slack Salesforce Jira Shopify Asana |
Fin is Intercom's AI agent, and it has quietly become the product the whole company rallies around. It runs on the same platform as Intercom's inbox, help center, and messenger, so it already knows your customers before it says a word. Point it at your help articles and past conversations and it starts answering questions instantly across chat, email, SMS, and WhatsApp, taking real actions through your integrations and escalating to a human with full context when a question genuinely needs one.
The thing that made Fin famous is how it is billed. Instead of charging per seat or per conversation, Intercom charges roughly a dollar for every question Fin actually resolves, so you only pay when the robot earns its keep. That pay-for-outcomes model was unusual when Fin launched and has since become the template half the industry copies.
Intercom was founded in 2011 by four friends from Dublin, and it spent a decade building the messaging tools Fin now sits on top of. Fin does not insist you live inside Intercom, either. Its platform version bolts the same agent onto other help desks like Zendesk and Salesforce, so teams can keep their existing ticketing setup and still hand the easy questions to AI. It ships with simulation testing, analytics, and tunable tone controls so you can rehearse answers on historical tickets before flipping the switch on real customers.
For buyers, Fin is the safe, well-documented default: enormous scale, a public per-resolution price you can model on a spreadsheet, and a product that resolves millions of conversations every week for companies of every size. If you want an AI agent that is proven, measurable, quick to pilot, and easy to justify to a finance team that wants a number, Fin is usually the first name on the shortlist and rarely a regrettable one.
Read the full Fin by Intercom listing → · See Fin by Intercom alternatives →
Hiver's founding insight was that plenty of teams never wanted a ticketing system at all: they wanted to keep working in Gmail, just without the chaos of forwarded emails and reply-all collisions. It turns Gmail and Outlook into a genuine help desk, with shared inboxes, assignments, SLAs, and analytics layered onto the mail client your team already lives in. Its AI handles the modern expectations: a copilot drafts responses, bots deflect common questions, AI QA scores conversations, and a knowledge base powers self-service, and the newer Hiver Omni adds chat, voice, and WhatsApp for teams that outgrow email alone.
The company has one of the longer backstories in this directory. It began in 2011 as GrexIt, founded by Niraj Ranjan Rout and Nitesh Nandy out of India's Morpheus accelerator, and was renamed Hiver in 2015. Today it runs from San Jose and Bengaluru, took a $22 million Series B led by K1 Capital in 2022, and serves thousands of teams that quietly manage support@ addresses without ever adopting a traditional help desk.
Hiver is also refreshingly transparent commercially, which is rarer in this category than it should be. There is a free-forever plan, paid tiers start at $25 per user per month, and the price of every plan is on the website, though the fancier AI QA and insights features sit in the top Elite tier.
Choose Hiver if your support genuinely runs on email and you want AI leverage without retraining the team on new software. It will not out-muscle a dedicated enterprise platform on autonomous resolution, but for Gmail-first teams it removes almost all the friction of getting started, and the free plan makes trying it a zero-risk exercise.
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