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SixFlow Voice Analytics

A white-label analytics and control platform for AI phone agents: every call, transcript, sentiment, and cost in one dashboard, for any client on any voice platform.

Next.jsTypeScriptPrismaSupabaseVercel
0:00 / 0:00
sixflow voice · dashboard
The dashboard home: call totals, minutes, average duration, cost, billing and usage, and recent call activity
sixflow voice · call history + transcripts
Call history with per-call recording, summary, sentiment, and full transcript
sixflow voice · analytics
Analytics view: call volume, success rate, duration, and cost trends
sixflow-voice · architecture
Architecture: voice platforms into verified ingest, Postgres with row-level security, client dashboards and admin portal

The problem

AI phone agents take real calls for real businesses, but the platforms they run on bury the evidence in developer consoles. Clients kept asking the same reasonable question: what is my agent actually doing all day?

Answering it meant screenshots and spreadsheets, agent by agent, client by client.

What we built

We built a multi-tenant SaaS that ingests every call over verified webhooks, with native Retell support plus a generic endpoint for Bland, VAPI, and custom agents, and turns them into org-scoped dashboards: calls, recordings, transcripts, sentiment, and cost, with billing and usage tracked against monthly limits.

Tenant isolation is enforced in the database itself with row-level security, four roles cover owner down to viewer, and an admin portal gives us per-client drill-down without touching production data.

The result

Clients watch their AI agents work in real time

3

voice platforms supported

4

access roles, owner to viewer

210+

files of production TypeScript

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