How is Altor different from a docs chatbot?

Docs chatbots answer 'how does this work?' from your knowledge base. Altor answers 'why is this broken for this customer right now?' by querying their actual API logs, checking your bug tracker, and verifying their billing status — across 6+ systems in under 2 minutes.

How is Altor different from our support platform?

Pylon, Plain, Zendesk — they route and manage tickets. Altor investigates them. We plug into your existing support tool as the investigation layer. You keep your workflows, we add the diagnosis.

Will Altor take actions without asking?

Not by default. Altor starts as a read-only investigator — it surfaces a diagnosis for your team to review. You control which action types graduate to auto-approval. Destructive actions are never automated.

What if our stack isn't listed?

If an API exists for your system, we can integrate it. The architecture composes tools — it doesn't hardcode connectors. We've yet to encounter a B2B stack we can't connect to.

What does Altor pricing look like?

Usage-based — you pay per investigation, not per seat. Pricing is quoted in USD ($) with no minimum commitment. We'll scope pricing during the demo based on your ticket volume and systems.

Every ticket automatically cross-referenced against your Linear backlog.

When a customer reports a bug, Altor searches Linear for matching open issues, recent regressions, and deploy-correlated problems before your agent responds. No manual backlog search needed.

What Altor checks in Linear

Altor searches Linear using keywords and patterns extracted from each ticket:

•Open bugs matching the reported symptom — error messages, affected features, and impacted user flows
•Recently closed issues that may have regressed — particularly useful for "this was working last week" reports
•Issues correlated with recent deploys — Altor cross-references Linear with GitHub deploy history
•Priority and assignee — so agents know whether the bug is being actively worked and by whom
•ETA from issue labels or comments — gives agents something concrete to share with the customer

60%

of B2B technical tickets have a matching Linear issue

< 30s

to find and surface relevant Linear issues per ticket

3 tabs

average number of systems agents check before Altor

manual Linear searches needed

"Our tickets are investigations, not FAQs. Nobody else could even attempt to answer them automatically. Altor can because it queries our actual production data."
— Engineering lead, Portkey

Why Linear search matters for support

Without automated Linear search, agents ask customers to reproduce issues that engineering already knows about and is actively fixing. This wastes customer trust and agent time.

With Altor, the first response includes: "We have an open issue tracking this (LINEAR-4821, assigned, no ETA yet). I've added your report as additional context. I'll notify you when it's resolved."

Ticket investigation workflow Altor for developer tools Portkey case study

See Altor find the matching Linear issue in your first ticket

We connect to Linear and your other systems, then diagnose a real ticket live. US hours.

Book a Demo Email us instead

Get weekly support engineering insights

Opens your email app with your address prefilled.