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About

We're building the AI support brain for SaaS teams.

An honest, early-stage company building an honest, early-stage product.

Mission

Make AI support fast, trustworthy, and human-controlled.

SaaS teams already wrote the docs. They already answered the tickets. The knowledge is there. What is missing is a layer that lets a small team resolve more tickets without losing the accuracy that earns customer trust.

SupportGraph is that layer. A product knowledge graph, a retrieval pipeline, a copilot that drafts with citations, and a human-in-the-loop workflow that keeps the team in control.

Why SupportGraph exists

Generic chatbots cannot earn trust. Source-backed AI can.

The first wave of AI support tooling shipped chatbots without evidence. They were fast, fluent, and quietly wrong. Support teams spent more time correcting them than they saved.

We saw a different shape: a layer that ingests your real product knowledge, structures it into a graph, and uses it to draft replies a human can verify in seconds. That is the product we are building.

We are designing for support leaders, not for headlines. The proof is in the approved replies, not the demo.

Who it's for

Built for SaaS teams in their first phase of AI adoption

Founders. Support leads. CX engineers. Anyone who needs faster answers without giving up on accuracy.

Founders

Validate AI support workflows without committing to a heavy platform.

Support leads

Cut repeat tickets. Ramp new agents. Close documentation gaps.

CX engineers

Build a workflow you control end to end, with citations and audit trails.

Values

What we hold ourselves to

A short list. Repeated often. Reflected in the product.

Trust

If we cannot prove the answer, we do not ship it as automation.

Source-backed AI

Citations are not a feature flag. They are how every reply earns its place.

Human control

Drafts go to a human. The human approves. The team stays accountable.

Privacy-first thinking

Tenant boundaries, scoped access, minimal data movement. Designed in, not bolted on.

Practical automation

We measure ourselves on tickets resolved with confidence, not demos.

Want to build alongside us?

If our values resonate and you have an early SaaS support workflow worth pressure-testing, we'd love to talk.