How do their growth rates compare?

Hiver has a month-over-month growth rate of -28.4%; Pylon has +6.1%.

How does pricing compare?

Hiver: Freemium, Free Trial, Paid, Free. Hiver offers a free tier plus paid plans and a free trial, with pricing typically based on users. Exact plan names and prices are listed on its pricing page. Pylon: Paid. Paid, seat-based with a credit pool for AI usage. Professional is $89 per seat per month on an annual contract and Advanced is $139 per seat per month, both quoted annually; Enterprise is a custom quote. AI agentic features consume credits that you can commit to annually or top up on demand. Optional add-ons include Account Intelligence at $10 per customer account per month and Phone at $35 per seat per month.

What are alternatives to Hiver and Pylon?

Other tools in related categories include tawk.to, Intercom, Intercom, Gorgias, Respond.io.

Hiver vs Pylon — Traffic (140.33K vs 284.89K), Pricing & Verdict

Open AI Tools

Hiver vs Pylon — Traffic (140.33K vs 284.89K), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	Hiver	Pylon
Official Domain	hiverhq.com	usepylon.com
Pricing Model	Freemium, Free Trial, Paid, Free	Paid
Monthly Visits	140.33K (140,328)	284.89K (284,885)
MoM Traffic Delta	-55.69K (-28.4%)	+16.46K (+6.1%)
Primary Market & Share	🇺🇸 United States (51.4%)	🇺🇸 United States (57.1%)
Direct Visits / mo	94.58K	230.37K
User Rating	4.3	4.5
Supported Platforms	Website	Website

Hiver

Agentic customer service platform where teams and AI resolve support together

Unified omnichannel ticketing

Handle email, chat, Slack, Teams, voice, WhatsApp and a help center from one workspace, with shared inboxes for teams that stay in Gmail.

Assist Agent

AI investigates issues across past conversations, docs, connected systems and codebases, then drafts contextual replies and takes action with approval.

Frontline Agent with Skills

Define how AI resolves complex multi-step requests, deploy across every channel, and test performance on real scenarios before going live.

Self-healing knowledge

AI reviews resolved tickets to spot gaps in the help center and turn proven resolutions into new articles, keeping documentation current.