Your tickets need investigations,
not doc lookups.
Altor connects to ClickHouse, Linear, Stripe, and GitHub to diagnose support tickets in under 2 minutes — pulling the same data your engineers check manually.
429 errors. Fix shipping in ~3 days. Workaround: add retry
logic with backoff. See docs.portkey.ai/rate-limits
"Altor diagnosed in 2 minutes what used to take our engineers 45 minutes of copying data between tabs."
The problem
Support AI answers questions. Your tickets need investigations.
Doc chatbots handle the 20% of tickets where the answer lives in your knowledge base. The other 80% — "my API calls are failing," "latency spiked since yesterday," "webhooks stopped firing" — require pulling live data from your actual systems. That 80% costs $80–200K per year per support engineer in manual investigation time.
Doc chatbot
Reads documentation and guesses. Handles password resets and FAQ. Breaks down the moment a ticket needs live customer data.
Investigation AI
Queries your logs, bug tracker, and billing system — investigating across 6+ systems like your best engineer would, in 2 minutes instead of 45.
The investigation layer — an AI that pulls live data from your systems to diagnose technical tickets — doesn't exist yet.
Investigation flow
One ticket, three different investigations
Every ticket triggers a different path through your systems. Not a template — a real diagnosis pulling live data.
Integrations
Your systems. Connected.
Altor reads from the tools your team already uses — 6 integrations out of the box. No new dashboards, no data migration.
Also works with Pylon, Plain, Zendesk, and Intercom. Custom integrations available for any system with an API.
ClickHouse
API logs, error rates, latency, customer activity
Linear
Known bugs, backlog items, issue status and priority
Stripe
Billing status, subscriptions, payment failures
GitHub
Recent deploys, open PRs, code changes
Docs / Mintlify
Documentation, guides, known workarounds
StatusPage
Upstream incidents, provider outage status
Trust & safety
You wouldn't give a new hire production access on day one.
Altor starts read-only — pulling logs, checking bugs, verifying billing. As trust builds, you control which actions graduate to auto-approval. Destructive actions stay manual. Always.
All connections are encrypted in transit and at rest. Read-only credentials by default. SOC 2 Type II in progress.
Auto-approved. Pull logs, check bugs, verify billing. This is where every deployment starts.
Human approval required. Toggle feature flags, update configs, escalate to engineering.
Never automated. Destructive actions stay with your team. No exceptions.
Getting started
Live in weeks, not months
We start with a forward-deployed engagement: audit your support stack, connect your systems, build investigation playbooks for your top ticket types.
Stack audit
We map your systems, ticket types, and current investigation workflows.
Connections live
Read-only integrations connected. First investigations running on real tickets from your queue.
Playbooks tuned
Investigation logic refined against your actual ticket patterns. Team trained.
Built for teams where every ticket is a debugging session
AI infrastructure
Tickets about API routing, model fallbacks, and gateway configs. Every ticket is an investigation, not a FAQ lookup.
API-first dev tools
Customers report latency spikes, webhook failures, and SDK errors. They expect root causes, not canned responses.
Data & analytics platforms
Tickets about query performance, pipeline failures, and dashboard accuracy. Your support team lives in logs.
B2B SaaS at scale
You're paying $80–200K per support engineer to manually copy data between ClickHouse and Linear. That's the investigation tax.
Common questions
See Altor investigate a real ticket
We'll connect to your systems and run a live investigation on a ticket from your queue. Your data, your ticket, diagnosed in real time.
Get a 3-minute walkthrough — no call needed.