Voice AI, built to be owned — not rented.
Talkr is the voice AI platform for teams who won't stake a phone line on someone else's model, someone else's servers, or someone else's roadmap. Bring your own LLM, speech stack, and infrastructure — or let us run it. Either way, it stays yours.
Caller: Hi, I called last month about my knee — is this the same office?
Assistant: It is, and I have your file. You spoke with Dr. Iyer on the 12th — still following up on that?
Caller: Yeah, it's been bothering me again in the evenings.
There are a thousand voice AI startups right now.
Most of them are the same platform wearing a different logo.
A thin orchestration layer bolted onto one LLM vendor and one TTS vendor, hosted only on their infrastructure, with memory that dies the moment the call ends. Fine for a demo. A liability for a business that answers real phones.
Want the specifics against named platforms? See how Talkr compares to Vapi, Retell AI, Bland AI, Cognigy & PolyAI →
Everything a production voice agent needs. Not a demo of it.
Visual workflow builder
A real node-based conversation designer — start/agent/tool/knowledge-base nodes, branching logic, and live testing before you ever place a call.
Telephony, your way
Twilio, Vonage, Plivo, Telnyx, Cloudonix, Vobiz, and Asterisk ARI. Inbound and outbound, without rebuilding your number infrastructure.
21 connectors
HubSpot, Salesforce, Zendesk, Slack, Zapier, Dynamics 365, Shopify, and more — sync leads and call outcomes where your team already works.
Knowledge base + tools
Retrieval-augmented answers and structured data extraction, built into the agent — not a separate product you have to wire together.
QA & compliance
Every call can be automatically graded. Flagged calls alert your team, and one click generates a suggested prompt fix — reviewed before it ships.
Caller memory
Agents that remember a caller's preferences and history across separate calls, natively — no external CRM webhook required.
Talk to your voice agents. Literally.
Most platforms bolt on an MCP integration after the fact. Talkr is controllable over MCP end to end — an AI coding assistant can build and edit a live agent, and your agent can call out to any MCP server mid-call. Most competitors have this promised. Talkr has it working today.
Build agents by talking to Claude, Codex, or Cursor
Connect Talkr as an MCP server and describe the agent you want — add a node, change the LLM, rewrite a prompt — in plain English. Edits land as a draft; your published agent keeps serving calls until you publish it.
Agents that call out to MCP servers mid-call
The other direction works too: attach any remote MCP server as a live tool, and the LLM can call it during a real conversation — not just at build time.
# Connect Talkr as an MCP server
$ claude mcp add --transport http talkr \
https://talkr.intelstacks.com/api/v1/mcp/ \
--header "X-API-Key: YOUR_API_KEY"
# Now just ask
> Add a node after the greeting that asks
for the caller's budget, then routes to qualification.
Saved as a new draft of "Lead Qualifier."Works with the stack you already run
Need on-prem, data residency, and a real data perimeter?
We deploy Talkr inside your own environment for regulated and high-scale teams — the same platform, running on infrastructure you control. No agent prompt, transcript, or recording ever has to leave your perimeter if you don't want it to.
- Bring your own LLM, STT, and TTS keys — nothing routes through a shared black box.
- RBAC, audit logging, and org-scoped credentials on every integration by default.
- Compliance-aware starters for healthcare (emergency triage, identity verification) and debt collections (FDCPA disclosure, dispute rights) — a real starting point, not a blank canvas.
“Every other voice AI platform we evaluated asked us to trust their infrastructure with our phone lines. Talkr was the only one that let us ask ‘what if we needed to run this ourselves’ and actually got a real answer.”
— the question every serious buyer asks, and the one Talkr is built to answer
Talkr is invite-only. On purpose.
We'd rather get a handful of serious teams live and working than everyone half-onboarded. Tell us what you're building — most requests hear back within one business day.