Trusted by the teams answering real calls every day
Kindred Voice builds custom agentic voice agents from your own workflows — human enough to hold a real conversation, reliable enough to trust with every caller. They sound real, they never go off-script, and they go live in days, not months.
Trusted by the teams answering real calls every day
Almost all "production" voice AI is three or four models bolted together. Your caller's voice is flattened into text before the AI ever processes it — and everything human is lost on the way in.
Emotion, urgency, hesitation and accent are stripped away the instant audio becomes a transcript.
The model works from a flat transcript with no idea how anything was said — only what was typed.
The reply is narrated back with no real voice behind it. Impressive in a demo, hollow on a real call.
The result is a chatbot with a voice, not a conversation — and it falls apart the moment you ask it to do anything real. Newer end-to-end models fix the sound, but on their own they're far too unstable to trust with an enterprise workflow. That instability is the problem everyone is stuck on. It's the problem we solved.
Kindred gets your agents into production in days, not quarters — then keeps you moving after launch, with workflows your own team can reshape in real time as the business changes.
We map your existing workflow, build your agent, and deploy it to production in as little as 43 minutes once scoped. No prompt engineering required from your team. No lengthy IT procurement. We handle the integration, the voice tuning, and the compliance guardrails — you just show up on day one to a working product.
When your process changes, your agent changes with it — the same day. Workflows are graph-based and edited through a drag-and-drop UI, so your own non-technical staff push tweaks and hotfixes in real time. No tickets, no redeploys, no waiting on an engineering sprint — the agent keeps pace with your business instead of falling behind it.
Not a pilot waiting to happen — real workflows, real callers, handled every day across multiple industries.
You aren't missing best practices. You are currently defining them.
An AI receptionist deployed across a 1,300-person property-management call center — tripling the call volume each agent can handle. Their own non-technical staff now onboard new customers directly, with no help from us.
Built and deployed in 43 minutes flat. Kindred now handles every after-hours client intake call — escalating true emergencies and queuing attorney to-dos for the morning. Expanding firm-wide.
A non-technical operator built a Mandarin-speaking regulatory survey agent in about an hour, entirely through the UI — no engineering help. Proof that complex, multilingual workflows don't require a dev team.
No per-minute meter running while nothing gets solved. We price on outcomes — which means we carry the risk, not you.
Our patent-pending RMS layer turns your workflow into a deterministic structure that sits above the model. The AI can branch through 20+ sequential tool calls — CRM lookups, transfers, follow-ups — without losing the thread, where industry-leading agents start failing after about six.
Almost everyone runs a cascaded pipeline: speech-to-text, then an LLM, then text-to-speech. That flattens tone, adds seconds of latency, and breaks on anything complex. Kindred processes voice end-to-end — no transcription layer — and stabilizes it with RMS. Different architecture, different result.
Think of an elevator interlock: the doors physically cannot open between floors, no matter what buttons anyone presses. Kindred works the same way — your workflow defines which actions are unlocked at each step, and an action your process hasn't authorized simply never runs, no matter what a caller says. That enforcement lives in code, outside the prompt, so it can't be talked around. And we're precise about the guarantee: it covers the procedure — the identical process on every call — not the exact wording of every sentence.
Days, not months. Hand us your SOP and a few sample call recordings and we build the agent for you — or build it yourself, by voice or by hand, then tweak the workflow your SOP generated until it matches your process exactly. Our fastest production deployment from scratch was 43 minutes. No front-loaded prompt engineering, no FDE army.
No. Workflows are graph-based and editable through a drag-and-drop UI — non-technical staff make changes and hotfixes in real time. One customer's non-engineer built a Mandarin compliance agent in about an hour with no help from us.
Outcome-based: roughly $1–$5 per resolved call depending on the complexity of the task, and you pay nothing for calls we don't resolve. In practice that lands around a third of the typical cost per call — a fraction of the cost to handle the same volume conventionally, in 100+ languages.
Soon — our self-serve public beta opens at the end of September. You'll be able to build your own agent by voice or by hand, starting on a free tier, with plans from $100/month. Enterprise deployments stay white-glove: we build it for you. Get early access at app.kindredvoice.ai/try.
Yes — including legacy systems. Kindred connects to your existing telephony and CRM and integrates with anything that exposes an API. We build those connections for you as part of onboarding, across voice, SMS/MMS, and email.
We'll build your hardest workflow and show it running live — sounding human, staying on-script, resolving the call. If it doesn't convince you, you've lost an afternoon. If it does, it'll be the easiest yes of your quarter.