Most voice bots pass the demo and fail on the first real call — the accent the model never trained on, the 400ms of telephony latency, the caller who interrupts mid-prompt, the fraud attempt the auth layer waves through. Banao builds voice and speech systems for production conditions: speech recognition tuned to your callers and languages, voice authentication hardened against spoofing, and call analytics that score sentiment and compliance on live audio. It's the same conversational stack InterviewGod runs to screen Banao's own hires across a 300-person operation — voice AI we operate before we deploy it for you.
Teams shop for a smarter voice model when the real failure is everything around it: noisy audio, callers code-switching between languages, real-time latency budgets, and the fraud surface that opens the moment a voice can authorize a payment. Banao owns that layer — acoustic models tuned to your call conditions, speaker verification with liveness checks, and grounded transcription wired into your contact-center stack. We ship a working pilot in 4–6 weeks, evaluate it against your own call recordings, then harden it for production. InterviewGod runs this same speech pipeline inside Banao first, screening our candidates by voice before any of it reaches a client.
Speech, authentication, and analytics systems instrumented for real call conditions — accents, latency, fraud, and compliance.
Book a 45-min scoping call
Voice Bot Development & IVR Automation
Voice bots and IVR flows that handle support, booking, and qualification across phone and digital channels — with fallback to a human the moment intent confidence drops, so callers don't get trapped in a loop.
Voice Authentication & Biometric Security
Speaker verification with liveness and anti-spoofing checks for access, payments, and fraud prevention — authentication that resists replayed and synthetic-voice attacks, not just a voiceprint match.
Real-Time Call Analytics & Sentiment Detection
Live scoring of sentiment, intent, and compliance on every call, so supervisors catch an escalation or a missed disclosure while the call is still open — not in a next-day report.
Speech Recognition & Transcription
Speech-to-text tuned to your callers' accents, jargon, and languages, with diarization that separates speakers — accurate enough to drive automation, not just rough notes.
Voice Assistant Integration
Custom voice assistants wired into mobile apps, devices, and enterprise software for hands-free workflows — grounded in your data so answers are specific, not generic.
Call Routing & Workflow Automation
Intent-based routing and post-call actions that move a caller to the right queue and trigger the downstream workflow automatically — cutting transfers and manual after-call work.
Speech Synthesis & Custom Voices
Branded text-to-speech and custom voice models with natural prosody, so automated calls and prompts sound like your brand instead of a default robotic voice.
Custom API & Platform Integration
Voice systems integrated with your CRM, telephony, and analytics platforms through governed APIs — so transcripts, outcomes, and authentication events land where your teams already work.
Where voice AI changes the operation
Retail & E-commerce
Voice bots field order, returns, and 'where's my package' calls so agents aren't tied up on repetitive status checks — and route the genuinely stuck customer to a human before they give up.
EdTech & Learning
Voice-driven tutoring and spoken-response assessment that scores pronunciation and fluency, giving learners instant feedback and instructors an audit trail per student.
Healthcare & Wellness
Automated appointment scheduling and patient triage by voice, with speaker verification gating access to records — so convenience doesn't come at the cost of PHI exposure.
Banking & Finance
Voice authentication for account access and payments, plus call analytics that flag fraud cues and missed compliance disclosures on live calls instead of in a post-incident review.
Telecom & Utilities
Automated troubleshooting and outage handling that deflects high-volume calls, with real-time analytics that surface a service issue from call patterns before the queue backs up.
Media & Entertainment
Voice-driven content discovery and automated transcription that turns hours of audio and video into searchable, captioned, indexed assets.
Recent Work
Design | Web Development | Voice AI
Real-Time Call Analytics Platform
A mid-market telecom support operation was flying blind on call quality — supervisors sampled a handful of calls a week and learned about escalations after customers had already churned. Banao deployed real-time call analytics that scores sentiment, intent, and compliance on every live call and flags at-risk conversations while they're still open. Supervisors moved from reviewing yesterday's transcripts to intervening during the call that matters.
We map call types, languages, compliance rules, and the workflows behind each call to define scope, KPIs, and a deployment roadmap. Why this matters: most voice projects fail because no one defined which calls the system must handle well — we lock that target first, so success is measurable, not anecdotal.
We assemble representative voice data across your accents, channels, and noise conditions and tune acoustic models against it. Why this matters: a model trained on clean studio audio collapses on a real phone line — we evaluate on your actual call conditions, not a benchmark.
We select and fine-tune models for recognition, synthesis, and authentication for accuracy and low latency under load. Why this matters: a model that's accurate but slow feels broken on a live call — we tune for the latency budget callers actually tolerate.
We test recognition accuracy, authentication resistance to spoofing, and compliance against your own recordings and edge cases. Why this matters: a demo that works on ten calls can fail on the eleventh — we measure error and spoof-rejection rates before launch, not after.
We deploy on cloud, edge, or on-premises and integrate with your telephony, CRM, and contact-center stack. Why this matters: a voice system that doesn't write back to your systems just creates more manual work — we wire outcomes and transcripts to where your teams act on them.
We monitor accuracy, latency, and authentication outcomes in production and retrain as call patterns shift. Why this matters: voice models drift as callers, slang, and fraud tactics change — we hold accuracy months after launch, not just at handoff.
Client Voices: Voice AI in Action
Rajat Verma
Head of Support, mid-market telecom
Ayesha Singh
Product Manager, digital payments
We intervene during the call now, not after
Before Banao, we audited maybe two percent of calls and found out about escalations a day late. Real-time scoring flags an at-risk call while it's still live, so a supervisor can step in. Our last analytics tool only ever showed us the wreckage afterward.
Here is what you will get for submitting your contact details.
45 minutes of free consultationA strict non-disclosure agreementFree market & competitive analysisSuggestions on revenue models & planningDetailed feature list documentNo obligation proposalAction plan to kick start your projectOur last voice bot worked in testing and failed on live calls. What's different?
We evaluate against your own call recordings — real accents, telephony latency, background noise, interruptions — not a clean demo set. The pilot is scored on the calls that broke your last attempt before it goes anywhere near production.
How do you handle accents, background noise, and multiple languages?
We tune acoustic models on representative audio from your callers and channels, support code-switching between languages mid-call, and benchmark word-error rate on your conditions rather than a studio sample.
Is voice authentication safe against recordings and AI-cloned voices?
Yes — speaker verification ships with liveness detection and anti-spoofing that reject replayed audio and synthetic-voice attempts, not just a voiceprint match. We measure spoof-rejection rate during QA before launch.
Can call analytics run in real time, or only after the call ends?
Both. Sentiment, intent, and compliance are scored on live audio so a supervisor can intervene mid-call, with the full transcript and scores available afterward for coaching and audit.
How does this integrate with our contact center and CRM?
We integrate through governed APIs with your telephony, CRM, and contact-center stack, so transcripts, call outcomes, and authentication events write back to the systems your teams already use.
How long until it's running on our own calls?
A working pilot evaluated against your recordings typically takes 4–6 weeks. We then harden it for production rather than handing over a demo that hasn't met real call volume.
