The only team running speech-to-speech AI in production at enterprise scale

The best voice AI is finally here.

Kindred 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.

Book a Demo → See why we're different

20+

Tool calls per call — others break after 6

43 min

Fastest production deployment

3×

Call volume each agent can handle

⅓

Of the typical cost per call

Why every other voice AI disappoints

It was never built to listen.

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.

Step 1 · Speech → Text

Tone is deleted

Emotion, urgency, hesitation and accent are stripped away the instant audio becomes a transcript.

Step 2 · The LLM

It reads, it doesn't hear

The model works from a flat transcript with no idea how anything was said — only what was typed.

Step 3 · Text → Speech

A robot reads aloud

The reply is narrated back with no real voice behind it. Impressive in a demo, hollow on a real call.

~5 seconds of latency Breaks in noisy environments No native multilingual support Forgets its instructions mid-call Wrong tool calls past step 6

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.

How Kindred works

Built for companies that can't wait quarters to go live.

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.

Pillar 01

Rapid Onboarding

Live in days, not months

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.

Pillar 02

Rapid Change Management

Update agents in real time

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.

tool calls before industry-leading agents start breaking down.

20+

unique tool calls Kindred handles per call, in production, every day.

Structurally immune to prompt injection Audits itself in real time — no hallucinations Never takes an unauthorized action

Why teams choose Kindred

Faster to launch. Cheaper to run. Safe to trust.

Time to market

Hand us an SOP and a few sample calls. Skip the months of prompt engineering.

Zero prompt engineering required
Drag-and-drop, graph-based workflows
Hotfixes and changes in real time
Non-engineers can edit it themselves

Return on investment

Outcome-based pricing that makes every resolved call dramatically cheaper to handle.

Roughly one-third the cost per resolved call
You pay per resolved call — not per minute
95% lower token cost on text workflows
Natively multilingual, no add-ons

Risk-managed deployment

Deterministic by construction, so you can roll out in phases and test any piece, anytime.

Immune to prompt injection by design
Phased roll-out and component testing
Every call logged for easy auditing
Connects to your phone system & CRM

Proof, not promises

Live in production. Already earning its keep.

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.

John AliotoGlobal Founder Advocate, Google Cloud

3×

Call volume per agent

Anequim

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.

43 min

From scratch to live

A national immigration law firm

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.

1 hour

Built by a non-engineer

Multilingual compliance agent

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.

Pricing that aligns with you

You only pay when the call gets resolved.

No per-minute meter running while nothing gets solved. We price on outcomes — which means we carry the risk, not you.

Conventional handling~$3,500/mo

Before

The same workload, on Kindred~$1,000/mo

With Kindred

Illustrative: our first signed customer ran ~1,000 calls/month for roughly a third of their previous cost.

$
$1–$5 per resolved call, scaled to the complexity of the task — predictable, and tied directly to value delivered.
0
Pay nothing if we don't resolve it. Our incentives are bolted to your outcomes.
🌐
A fraction of the cost per call — and fluent in 100+ languages out of the box.

FAQ

The questions enterprise buyers actually ask.

How do you handle workflows that break every other voice AI?+

Our patent-pending RMS layer compiles 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.

How is this different from the voice AI I've already tried?+

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.

Why can't it go off-script or get jailbroken?+

Because adherence isn't held in a prompt the model can forget or a caller can override — it's enforced by the compiler layer. That makes Kindred structurally immune to prompt injection and stops the two failure modes that sink LLMs in production: going rogue and hallucinating.

How fast can we actually go live?+

Days, not months. Give us your SOP and a few sample call recordings and we build the agent for you — our fastest production deployment from scratch was 43 minutes. No front-loaded prompt engineering, no FDE army.

Do we need engineers to run or change it?+

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.

How does pricing work?+

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.

Will it connect to our phone system and CRM?+

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.