The phone layer for AI agents
AI is now good enough to be on the phone with your customers: making real calls, taking real calls, handling them end to end.
This is a real call from your browser. Your microphone opens when you press talk and closes when you end the call.
Every missed call is someone else’s opportunity. An AI agent that never misses a shift closes that gap after hours, at lunch, and during your busiest hour, without adding headcount just to staff a phone.
An assistant that actually calls the doctor’s office, chases the refund, or returns the call you’ve been avoiding, not one that drafts a message about it.
Building your own voice product? Build it on infrastructure we already own and operate. Skip the carrier relationships, the number provisioning, and the compliance paperwork.
Inbound support with customer records, case history, and tickets in hand.
“Where’s my ticket at?” → resolved
Alerts and escalations triaged; humans woken only when required.
03:12 alert → acked, no page
Confirm, reschedule, and cancel over phone and SMS in routine cases.
“Can we move to Thursday?” → done
An outbound voice and SMS channel for real-world task execution.
refund chased → confirmed
Voice-capable AI agents for clients without becoming a telecom operator.
client launch → no carrier work
Inbound calls and outbound confirmations for bookings, delivery, dispatch.
busy hour → every call answered
Helpdesk, IT triage, HR scheduling, and facilities over voice and SMS.
password reset → no queue
Use OpenPhonex yourself
Already have an AI agent? Connect it by webhook, API, or MCP. Starting from nothing? Build one right here in the workspace. No engineer required either way.
Build with OpenPhonex
We scope the call flow, configure guardrails, integrate your systems, and hand over a running AI agent with observability from day one.
Flat monthly plans, support included → see pricing
Capabilities
Recording, waveform, transcript, AI summary, policy decision, and cost: attached automatically to every call, so “what did the AI agent actually say” settles in one click instead of a log dig.
Design call flows and escalation logic visually. A flow changes same-day, not on the next engineering sprint.
Mid-call, the AI agent checks the calendar, looks up the order, and updates the CRM, so the caller gets a real appointment, not “someone will call you back.”
Upload your docs, FAQs, or policies. The AI agent looks them up mid-call and answers with the source, so callers get what you actually publish, not a guess.
Connect the AI agent you already run in minutes, or build the whole flow inside OpenPhonex. No forced rebuild, no cold start.
We’re early and building in the open. Tell us what your call flow needs and it ships fast.
Go live
Dedicated numbers, SMS routes, outbound access, country registrations: OpenPhonex handles the provider selection and paperwork, with requirements and activation times in plain language before you commit.
Every call’s audio runs through a media gateway, the server that bridges the phone network and your AI. Numbers, billing, and compliance stay with OpenPhonex either way.
| OpenPhonex Cloud Default | Your own gatewayfor data residency | |
|---|---|---|
| Numbers · billing · compliance | OpenPhonex | OpenPhonex |
| Media gateway (your call audio) | OpenPhonex | You, your region |
| Your AI agent | You | You |
Agent-native
An AI coding agent can read these docs and wire the whole thing: check coverage, request a number, inspect recordings, send approved SMS. Delegate the setup instead of hand-wiring every telecom step.
Read /llms.txt and /openapi.json. Connect my AI agent to OpenPhonex, check coverage, request the right number, and inspect every recording, transcript, policy decision, and cost event.
Agents, calls, recordings, SMS, usage, numbers, coverage.
Provision, call, and query. No human steps in the loop.
Every call event, plus a bidirectional audio stream.
Node.js and Python, with an interactive API reference.
Agent-install quickstart for the whole setup flow.
Machine-readable entry point for AI assistants.
OpenPhonex speaks MCP and llms.txt, so it works out of the box with the AI agent or harness you already use: ClaudeCodexOpenClawCursorOpenCodeGrok and any MCP client or AI agent.
3 ways to connect: OpenPhonex hosted MCP · AI Agent · REST API
Claude
Codex
OpenClaw
Cursor
OpenCode
Grok