
































Lead Intelligence
Humanoid AI Agent
Omnichannel Engagement
Quality Monitoring
ROI
Optimizer
VoC
Insights
Control
Tower
Capabilities
SquadStack.ai
Typical Voice AI Vendor
Focus
SquadStack.ai:
Increasing conversions and reducing CAC across your sales funnel
Typical Voice AI Vendor:
Selling speech models, self-serve platforms, smart glasses, and 100 other products
Scale
SquadStack.ai:
40 lakh+ calls daily for India's leading consumer brands
Typical Voice AI Vendor:
Low volume or pilot-stage deployments
Performance
SquadStack.ai:
90% connectivity, 40% more conversions, 3x lower CAC vs human agents
Typical Voice AI Vendor:
40% connectivity, unable to match human agent benchmarks
POC Success Rate
SquadStack.ai:
93%
Typical Voice AI Vendor:
~25%
Speech Models
SquadStack.ai:
Proprietary, trained on 600M+ minutes of real Indian contact center conversations (Hinglish, Taminglish, etc.)
Typical Voice AI Vendor:
Third-party models trained on public datasets like YouTube videos
Naturalness
SquadStack.ai:
Human-like voice AI agents that have passed the turing test
Typical Voice AI Vendor:
Sounds robotic, struggles with language switching and background noise
Channels
SquadStack.ai:
Call + WhatsApp + SMS + In-App with cross-channel memory
Typical Voice AI Vendor:
Voice only
A/B testing
SquadStack.ai:
Controlled experiments on voice, prompt, channel sequence, and timing, built in
Typical Voice AI Vendor:
Not available
Memory
SquadStack.ai:
Persistent across sessions and channels, leads never repeat themselves
Typical Voice AI Vendor:
Every call starts cold
Long Conversations
SquadStack.ai:
No drift on even 30-turn complex sales calls
Typical Voice AI Vendor:
Loops, contradicts, or breaks after 10+ turns
Compliance
SquadStack.ai:
ISO 27001, ISO 27701, SOC 2 Type II, DPDP, TRAI-compliant
Typical Voice AI Vendor:
Minimal compliance
Team
SquadStack.ai:
Agile team of product managers, forward-deployed engineers, and data scientists focused on improving your business metrics
Typical Voice AI Vendor:
Account managers with limited technical depth


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An voice AI agents is software that handles phone conversations the way a human telecaller would, listening, understanding intent in real time, responding in natural speech, and acting on outcomes like qualifying a lead, booking an appointment, or closing a sale. Production-grade agents handle multiple Indian languages, code-switching, interruptions, CRM integrations, and human handoff for the cases that need one. SquadStack runs 40 lakh Voice AI Agents calls a day for India's largest consumer brands, at 3x lower CAC than human teams.
Every SquadStack call runs through a stack built specifically for Indian consumer sales. Lead Intelligence prioritizes who to call and when, proprietary speech models trained on 600 million minutes of real Indian contact center audio handle the listening, an LLM reasoning layer holds context across 30-turn conversations without drifting, and our text-to-speech engine responds in under 800ms. The Voice AI Agents switches languages mid-sentence, handles interruptions, remembers what happened on the last WhatsApp or SMS, and hands off to a human when the conversation needs one.
Our voice AI passed the Turing Test for contact centers, the first in the category to do so. In blind tests, 81% of BFSI leaders couldn't tell our AI apart from a human agent. It handles interruptions, background noise, and 30-turn sales calls without drifting or looping, the Real Calls section above has live production recordings you can judge for yourself.
SquadStack is ISO 27001:2022, ISO 27701, SOC 2 Type II, DPDP-compliant, and TRAI-compliant, with India data residency and consent capture, recording retention, and PII redaction built in. We live in regulated lending, insurance, and brokerage with audit trails that clear legal, compliance, and infosec review. On-premise and VPC deployments are supported where sensitive workflows can't leave the enterprise boundary.
Most enterprise pilots go live in 2 to 3 weeks, tested against your real campaign data and current human agent benchmarks. Our POC success rate is 93% compared to an industry average of 25%, so the pilot question isn't whether it works, it's how fast it scales.
It looks cheaper in year one, which is why many teams start there, but the hidden costs hit within 12 to 18 months. Indian-language speech models, sub-500ms latency at scale, and QA infrastructure for thousands of concurrent calls each need a team most consumer brands don't have, pulling engineers off revenue work. By the time an in-house build reaches production quality, SquadStack has already delivered the outcome.