Bolna Agent Studio - Build Voice AI Agent in 10 Minutes
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Bolna's Agent Studio lets any business build and deploy a production-grade voice AI agent in minutes, no prompt engineering. Upload a doc or answer a few guided questions, and Studio assembles a call-ready agent from production-tested modules. Sign up and start calling on Day 0.
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Honestly the multilingual support surprised me most, our test calls in Hindi and Spanish both sounded pretty natural compared to other voice AI tools I've tried. Setup was straightforward too.
Bolna
@farukkorkuygpl Thank you! Bolna is centred on ensuring human-like pacing for conversations in all languages that we offer. So glad you found it seamless to test.
Finally moving away from long iterations because chatgpt just doesn't understand how my voice agent is supposed to work! Glad to know it is trained on real data.
Finally got around to testing Bolna for an outbound campaign and was honestly surprised how natural the voice sounded in Hindi and Tamil. Setup took maybe an afternoon.
Bolna
@nuran37cs Thank you for giving it a shot! Yes, achieving human-like simulation in Indian languages is at the core of Bolna. Would love to know what use case your agent served, though!
The auto-assemble-from-a-doc part is the real leap here, and it's also where I'd look hardest. When we generated agent flows from source material, the thing that never came for free was the negative space: a caller asks something the doc just doesn't cover, and the model improvises a confident policy answer instead of saying 'I don't know, let me transfer.' Does Studio insert those refusal and escalation boundaries automatically, or is that still the part you tune by hand after the agent is generated?
Most of the thread is on edge cases and compliance. The linguistic complexity claim is the one I'd poke at, we run voice on the support side in a lot of languages.
On real calls people don't stay in one language. They switch mid sentence, and the worst place is digits. Someone speaking English will still say an order number or a postcode in their own language, almost every time. Same when they get annoyed, then a whole sentence flips.
If language is picked at call start and pinned there, that is where transcription falls apart, and it falls apart on the field you least want wrong.
So does the agent detect the switch inside the call and follow it, or is it locked once the call starts? And are digits handled separately from the rest..
Bolna
@jernej_jan_kocica You'll be pleasantly surprised with Bolna on this. We do have agents with LID who follow the user's language through the conversation with code-switching. The digits are handled accordingly as well.
@sonambala Nice, LID that follows the switch is more than I expected.
One thing I have never got fully right on our side, so genuinely asking. Does the LID resolve per utterance, or inside it? Per utterance handles clean alternation, one sentence in one language and the next in another. The one that keeps beating me is a switch inside a single utterance, no pause, where the audio chunk itself is mixed.
Is that segmented inside the turn, or does it pick one language for the whole utterance..
Would love to see a built-in call quality analytics dashboard showing latency, transcription accuracy, and drop-off rates per language. Right now it's hard to benchmark performance across different regional deployments without piecing together data from multiple sources.
A dashboard view showing live call metrics with filters by region, language, and intent would be super helpful when running thousands of concurrent calls. Right now I'm guessing it's hard to spot issues at scale without granular real-time visibility into performance breakdowns.
Would love to see a built-in call quality analytics dashboard that breaks down latency, transcription accuracy, and drop-off points per language. Right now we're piecing it together from logs and it makes it hard to spot where the model is struggling in Hindi versus English versus Tamil. A single view that surfaces the metrics that matter most would save our team hours every week and help us fine-tune without guesswork.
Spent a few minutes poking around and the multilingual demos actually handled code-switching better than I expected. Pricing transparency was a nice surprise too, most voice AI vendors make you book a call just to see numbers.
Bolna
@brahimo9zc So glad that Bolna was able to surprise you pleasantly. What languages did you test out your agents for?
A real-time analytics dashboard showing live sentiment and call drop-off rates during campaigns would help teams tweak prompts on the fly. Right now we mostly wait until after to see what worked.