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.

Built by engineers who lived the problem.

Every support ticket at a B2B SaaS company is a debugging session. We spent years watching great engineers waste 45 minutes per ticket manually copying data between ClickHouse, Linear, Stripe, and GitHub — data that a machine could assemble in seconds. Altor is that machine.

The founding insight

Technical support at B2B companies is fundamentally different from consumer support. Customers are engineers. Their tickets are debugging sessions, not FAQ lookups. Every ticket requires querying production systems, cross-referencing multiple data sources, and constructing a root-cause hypothesis.

Existing tools solve the wrong problem. Chatbots search docs. Support platforms route tickets. AI copilots draft replies. None of them touch the investigation phase — the 20–45 minutes of manual work that happens before any of that.

Altor was built to automate that phase. Not the routing. Not the reply. The investigation itself.

The founder

Anshul Basia — IIT Delhi (Computer Science), Microsoft Research. Built and shipped production AI systems across enterprise environments. Watched the support investigation problem firsthand across multiple companies before deciding to solve it directly.

Altor launched with Portkey as the first customer — an AI gateway handling millions of API requests, where every support ticket was a multi-system investigation. 200+ tickets diagnosed. Median time dropped from 45 minutes to 2.

200+

tickets diagnosed in production at Portkey

45→2

minutes per investigation, consistently

3 wks

typical deployment from kickoff to first live investigation

production systems queried per investigation

How we work with customers

We do not hand off software and disappear. Every deployment starts with a forward-deployed engagement — we map your stack, connect your systems, and build investigation playbooks for your top ticket types alongside your team.

Pricing is usage-based in USD. You pay per investigation, not per seat. No minimum commitment. Scoped during the demo based on your ticket volume and systems.

We work with US-based B2B SaaS teams during EST and PST hours. If your support team operates in those windows, we can support you directly.

"Altor diagnosed in 2 minutes what used to take our engineers 45 minutes of copying data between tabs. Our tickets are investigations, not FAQs — nobody else could even attempt to answer them automatically."
— Engineering Lead, Portkey

See the Portkey case study How the platform works Book a demo

See Altor investigate a ticket from your queue.

We will connect to your systems during the demo and run a live investigation on a real ticket. Your data, your stack.

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