Plain vs Pylon


Both are built for B2B support. The difference is under the hood: Plain is open infrastructure, so your agents and workflows are never limited by how you run support.
Account context is useful. But it's not always the right context.
With Plain: context built for the question
We read the question first, and retrieve the right answer. A billing dispute pulls billing. A failing export pulls your Sentry errors and the linked Linear issue.
With Pylon: the same context every time
Pylon loads one account panel on every ticket: tier, ARR, billing. It doesn’t change when the question does.
The top reasons why B2B teams choose Plain
Invested in your success.
“The Plain team was available, approachable, and genuinely invested in our success.” — Head of Support Engineering @ n8n
Designed to be built on.
API-first, so you can automate any workflow, and connect your stack and product without hitting ceilings.
Transparent pricing.
AI included, usage-based, published in full. No viewer seat add-ons, no calling sales to learn the price.
Real results with Plain
200+
engineering hours saved per year
33%
of conversations resolved with AI agents
88%
of manual support tasks automated in 30 days
We chose Plain over Pylon. We don’t need a Zendesk replacement; we need the best B2B support tool for developers.
Christopher O’Neill
Head of Developer Success, Stytch
How we make migrating to Plain easy.
Migrating a system of record isn’t what anyone gets excited about. So here’s what the process actually looks like, specifically.
We buy out your contract.
If you’re mid-contract, we’ll buy out your remaining months so you’re not paying twice.
We create an action plan.
Week 1–2: sandbox setup and test import.
Week 3–4: pilot with 4–5 power users.
Week 5–6: full rollout. Pylon stays in read-only for reference.
We rebuild what matters.
We treat migration as a reset, not a lift-and-shift. We don’t try to replicate your Pylon setup in Plain. We figure out what you were actually trying to achieve, and build that instead.
Our honest comparison promise
Most comparison pages are dressed-up sales collateral.
Comparison tables are especially easy to rig: choose the rows carefully enough, and one side always wins.
Competition is good. Selective, outdated comparison pages aren’t.
So here’s our promise. Every row in our table cites a source, covers both products in the same level of detail, and includes the places where Pylon is the better choice. If you’ve received a comparison about Plain from a competitor, or found a false claim here, we’re happy to fact-check and correct: email factcheck@plain.com.

Simon Rohrbach
Co-Founder & CEO, Plain
You need native channels Plain doesn’t support
Phone, SMS, WhatsApp, Telegram — native in Pylon, requires building via API on Plain.
You want breadth out of the box over flexibility
You need a lot of feature breadth on day one rather than a flexible foundation.
You don’t expect to customize workflows
You don’t plan to build custom automations, agents, or product-native support experience.
Questions
and answers.
Frequently asked questions we get when comparing Plain and Pylon.
What is the difference between Plain and Pylon?
Plain and Pylon are both AI-first B2B support platforms, but they are built around different assumptions. Pylon is a full-stack support application with broad native channels and preassembled account intelligence. Plain is customer infrastructure: API-first, customizable, and designed for support workflows and AI agents that can act across your stack.
Pylon suits teams that want breadth configured for them. Plain suits teams that expect to customize, automate, and build on top of their support platform as they scale.
Is Plain or Pylon better for Slack support?
Does Plain's AI know account context like ARR and health score?
Can Plain's AI actually do the work, or just draft a reply?
Does Plain include a help center or knowledge base?
How does Plain's pricing compare with Pylon's?
Does Plain require an engineering team to run?
When is Pylon the better choice than Plain?
Can Plain replace Pylon?
Does Plain integrate with engineering tools like Linear, GitHub, Sentry, and Datadog?
