Launch voice agents without
waiting on your tech team.
Describe a call. Get a live agent in minutes.
Speaks 40+ languages, including Hindi and Hinglish.
New use cases shouldn't
need a project plan.
Your team knows the call. That's enough.
Needs an engineer in the loop.
Building the call flow, connecting it to your tools, and testing it before launch takes someone who can write and ship code. It can't be done by a non-technical teammate, so every new use case becomes a request that waits its turn in the engineering queue.
Built by just chatting.
Describe the call to the AI copilot in plain language and it builds the flow for you. No engineer, no ticket, no queue. Anyone on the team can create or change an agent the same way they'd explain it to a colleague.
From call script to
live agent in four steps.
AI builds it. You approve every step.
Hey! Let's set up your voice agent. What's it for? Describe it in your own words.
Call distributors with overdue invoices. Ask when they'll pay and note the date. If they refuse, be firm and mention the late fee after the 30th. Once they commit, send the payment link on WhatsApp and remind them a day before.
Here's what I understood. Everything you asked for is kept as written. Remove any suggestion you don't want.
Tap the blue reply to build the next step, or jump with the tabs above.
The call is only
half the job.
Set up follow-ups without code or tickets.
They agree on a time.
The calendar books the slot or the callback.
They report a problem.
A Jira ticket is raised with a summary of the call.
They promise to pay, or need a human.
Your team gets a Slack alert.
They want it in writing.
A WhatsApp message goes out.
Each action is tied to a branch, so the same answer always sets off the same step.
And the next call starts knowing what happened on this one.
It picks up where
the last call ended.
Each call knows what was said last time.
“Hello, this is a reminder that your invoice is overdue. Please pay at the earliest.”
“Hi Rajesh, last time you said the invoice was stuck in approval. Has that cleared?”
You choose what the agent carries into the next call, so it never guesses what the customer said.
Speaks your customers'
language.
40+ languages, including Hindi and Hinglish.
Hindi · हिन्दी
नमस्ते! मैं आपकी कैसे मदद कर सकता हूँ?
It switches language mid-call if the customer does.
The voice sounds natural with male and female options.
Built for real
customer conversations.
Any call that repeats and can be measured.
E-commerce & Retail
Turn more customer moments into completed orders.
Healthcare
Make every patient conversation easier to keep up with.
BFSI
Move more customers from pending to done.
Logistics & Supply Chain
Keep every important call moving.
EdTech
Stay in the conversation from first enquiry to enrolment.
Recruitment / Hiring
Spend less time chasing candidates. More time hiring.
Calls run in 40+ languages, including Hindi and Hinglish.
Start with one call that matters.
Proven at
Asian Footwears.
Calls across four live workflows.
Connects with the tools
you already run on.
Webhooks and APIs, set up in the builder.
A monthly plan plus pay-as-you-go calling
A flat fee, then only the minutes you use.
Common questions
about building with Lemu AI.
No. Describe the call to the AI copilot, review the flow it builds, and edit any step. You don't write code at any point.
Under 5 minutes with the AI copilot. Connecting your own data and tools adds time, depending on what you set up.
Yes. Run a test call, read the transcript, change what you need, then publish.
Over 40, including Hindi and Hinglish, Tamil, Telugu, Kannada and Malayalam, Marathi, Gujarati and Bengali, and Punjabi, Odia and Urdu.
Yes. If the customer moves from Hindi to English, the agent can follow.
No. The voice sounds natural, down to small things like laughter. You can choose a male or a female voice.
The agent opens with the start message you set, then moves through the steps you defined. Each step says what the agent speaks, so you know what customers will hear.
You can add a branch for it, or transfer the call live to a person on your team.
You set it in the journey builder: book a calendar slot, post to Slack, raise a Jira ticket, send a WhatsApp message, or update your CRM. During the call, the agent can also call your own APIs between steps, for example to check an order or invoice status.
Yes. You can give the agent the summary of earlier calls, so it knows what was said last time.
Start with one call that matters.
Pick one call, launch a pilot, measure it.
You know the business. We know the AI.