Built for business customers
Purpose-built for B2B support, with account intelligence: every conversation feeds the account context.
Compare · Tore vs Pylon
Pylon supports your accounts.Tore also fixes their bugs.
Pylon is agentic support built for business customers, with strong account context and issue tracker links. Tore answers too, then takes the bug to a fix for your engineer to approve.
Tore opens soon. Join the waitlist and we'll email you the day you can start.
Same bug, two ways · Beacon Data import
Example dataWith PylonB2B support + AI agents
Dan · Beacon Data · emailOur CSV import fails on any file with more than ten columns.
AI agentThanks, Dan. This needs our team, so I am bringing them in.
Lena · SupportRaised it with engineering. I will update you as soon as it moves.
Ticket comes back to your team when the issue closesthen you follow up
With Toresupport + engineering, one thread
Dan · Beacon Data · emailOur CSV import fails on any file with more than ten columns.
Tore AIThanks, Dan. I can see the failed imports on our side. Looking into it now.
Root cause foundimport/parse.ts:112 · column limit hard-coded
Fix written, tests pass+5 −2 · 27 tests
Pull request preppedwaiting for Alex, your engineer
Approved by Alex · Dan told it is fixedsame thread
Where Pylon is strong,and when to pick it instead.
Pylon is built around business customers and the accounts behind them. If you support companies in Slack and Teams and care most about account context, it is a strong pick.
Where business customers talk
Slack, Microsoft Teams, email, WhatsApp, phone and SMS, Telegram, Discord and a chat widget.
A set of AI agents
A Support Agent for customers, an Assist Agent that investigates and acts, a Slack Agent, plus skills and automations.
Linked to your issue tracker
Create Linear or Jira issues from a ticket, with comments synced and customer context on each issue.
Pick Pylon when
You support business customers and the code side stays with your engineers.
- Your customers are companies that reach you in Slack or Teams.
- Account context matters as much as the single conversation.
- You want support tickets linked to Linear or Jira issues.
- Your engineers prefer to take bugs from the tracker and fix them themselves.
Tore vs Pylon,across the support to fix loop.
Both answer customers with AI and bring in people when needed. The difference starts when the question turns out to be a bug.
Tore
- Support inbox: yes
- In-app bug capture: yes
- Starts from your error stream: yes
- Investigates your code: yes
- Opens the pull request: yes
- Feedback board and roadmap: yes
- Tells the reporter it shipped: yes
Pylon
- Support inbox: yes
- In-app bug capture: no
- Starts from your error stream: no
- Investigates your code: partly
- Opens the pull request: no
- Feedback board and roadmap: no
- Tells the reporter it shipped: partly
| Step | Pylon | Tore |
|---|---|---|
| Answers customers | Support Agent resolves questions across Slack, Teams, email, chat and more. | Answers from your help center with the article cited, across email, chat widget and Slack. |
| Hands over to a person | Brings in humans when judgment is needed. | Hands over with the full conversation when it is not confident. Anyone can take over at any moment. |
| Bug capturereplay, console, network | Not part of it | Reports from the chat widget arrive with replay, console and network attached. Bug capture |
| Investigation in your code | Assist Agent can investigate with code context, or delegate to outside agents. | Reads the repository you connect and finds the root cause, down to the file and line. |
| Fix and tests | Can delegate to an outside coding agent. | Writes the fix and runs your tests. Your engineer can request changes in plain words. |
| Pull request for approval | Not part of it | Preps the pull request. By default it waits for your engineer's approval. |
| Customers told it is fixed | When a linked Linear issue closes, the ticket returns to your team to follow up. | Everyone who reported it is told automatically when the fix is live. |
| Model choice | Names Claude and ChatGPT models. | The right model for each job, from Claude, Codex, Gemini, Grok and more. You can set it per task. |
| Proactive errors | Not part of it | Errors from your error tracker are grouped by fingerprint and can open an investigation before anyone writes in. |
Based on Pylon public pages (usepylon.com), checked 2026-10-30. Products change: if we have something wrong, tell us and we will correct it. For plans and pricing, see Tore pricing.
Desks answer but don't fix.Coding agents fix but never talk.
Most teams keep support conversations in one tool and the code in another, joined by a person copying between them. The ticket says the import broke; the code knows exactly which line did it.
Support desk
Talks to the customer
Pylon, and support platforms like it. Great with accounts and conversations, then the bug moves to the tracker.
- Answers and hands over
- Reads your code
- Writes the fix
Tore
One thread, both sides
The conversation, the investigation and the reply live together, so nothing is retyped.
- Answers and hands over
- Reads your code
- Writes the fix
Coding agent
Works in your code
AI engineers that start from an issue. Strong at the fix, but the customer never hears from them.
- Answers and hands over
- Reads your code
- Writes the fix
The evidence comes with it
No more asking for a screenshot.
When a customer reports a bug from the chat widget, Tore attaches what your engineer needs: the replay, the console and the network calls, with secrets stripped before upload.
- Pin an element, mark up a screenshot or record the screen
- The last 30 seconds of the session, replayed
- Repeat reports grouped into one ticket
app.tore.ai/beacon-data/reports
Example dataDan reported a bugchat widget · import page
NewSession replay attachedlast 30 seconds before the report
Console and network attachedPOST /import · 422 · secrets stripped
Investigation opened3 similar reports grouped into this ticket
Questions people askbefore switching.
Is Pylon better for B2B support?
For teams whose customers are companies that reach them in Slack or Teams, Pylon is built for exactly that, with account context at the centre. Tore handles the queue and AI answers too. Where it differs is what happens when the question turns out to be a bug.
Pylon links tickets to Linear. Is that not enough?
It keeps support and engineering in sync, which helps. An engineer still has to reproduce the bug, find the cause and write the fix, and someone has to tell the customer. Tore does those steps, and by default waits for your engineer to approve the change.
Does Tore change our code without asking?
By default it waits for your engineer's approval. Your engineer can request changes in plain words, and Tore revises the fix and re-runs the tests. You set how much it does on its own, per repository, in AI controls.
Which AI models does Tore use?
The right model for each job: a fast model for quick answers, deep reasoning for root causes, a coding model for fixes. You can let Tore choose or set it per task. During early access, you can also bring your own AI keys.
How does the price compare?
Plans, what is included and how the AI is billed are on the pricing page.
Keep comparing.
Support the account.Fix the bug too.
Tore answers your business customers and takes the bugs behind their tickets all the way to a fix for your engineer to approve.