81% of BFSI leaders could not distinguish SquadStack's AI voice agent from a human caller in blind tests. Our AI agents now match or beat human benchmarks on naturalness, performance, and efficiency across live enterprise campaigns.
Before the tipping point, AI is treated as a copilot. After it, entire workflows get redesigned. Budgets get reallocated. Adoption jumps exponentially. SquadStack has crossed that line.
We defined and executed two complementary tests to prove indistinguishability at both the perception and functional level. No cherry-picking, no lab conditions.
The classic Turing approach. Participants listened to 4 real customer call recordings (2 AI agents, 2 human agents) without knowing which was which. They had to identify the human conversations.
Goes beyond perception. We measured three dimensions across 4 live enterprise campaigns: naturalness (ADR), performance (conversion/qualification), and efficiency (AHT, cost per outcome).
Month-on-month improvement in blind test recognition, and matched or exceeded human benchmarks across all four live campaigns.
This wasn't tested on random internet users. The evaluators were senior BFSI professionals who manage contact centres and sales teams for a living.
Global Fintech Fest (GFF) is attended by BFSI leaders, technologists, and policymakers from around the globe. Participants included CXOs, heads of contact centre operations, technology leaders, and enterprise sales directors, the exact people who evaluate and purchase voice AI solutions.
Each participant listened to 4 real customer call recordings, 2 from AI agents and 2 from human agents, with no indication of which was which. 1,273 of 1,563 participants (81%) picked at least one AI agent conversation as a human conversation.
Earlier internal tests in July 2025 started near a 50-50 coin toss. The improvement to 81% reflects rapid, compounding gains in SquadStack's voice AI quality over just four months.
When AI agents match humans in naturalness, performance, and efficiency, the conversation shifts from "can AI do this?" to "why would we not use AI?"
81% of trained BFSI professionals couldn't tell AI from human. Your customers are even less likely to notice. That means you can deploy AI without risking brand experience or customer trust.
AI agents matched or beat human agents on conversion, qualification, and resolution, at 4x lower cost. You're not trading quality for savings. You're getting both.
Scaling human teams means hiring cycles, 2-3 month ramp periods, attrition, and inconsistent quality. AI agents scale like code: instantly, consistently, and with identical performance up to two decimal points.
This isn't a demo recording or a cherry-picked call. It's 1,563 blind evaluations and 4 controlled campaign comparisons with pre-existing human benchmarks. Ask your current vendor for equivalent evidence.
Trained on 5M+ hours of real Indian sales call audio across 6+ languages and 15K+ pincodes. Handles Hindi, Hinglish, Tamil, Telugu, Kannada, Marathi, code-switching, background noise, and interruptions natively.
SquadStack is globally the first in the contact centre category to pass the Turing Test. No other voice AI vendor has published equivalent evidence of human-level naturalness and performance combined.
Passing the Turing Test wasn't a single breakthrough. It was the compound result of building every layer of the voice AI stack in-house, trained on Indian contact centre data.
Trained on 5M hours of Indian telephonic data. Beats Deepgram Nova 2 (27%), Sarvam (36%), and ElevenLabs (38%) on word error rate.
1,000+ real Indian agent voices. MOS score beats ElevenLabs (4.41) and Sarvam (3.78). 70% cost reduction vs API pricing.
Median STT latency under 0.8 seconds vs industry 1-1.5s. Natural turn-taking with hundreds of micro-optimisations for conversational flow.
400M+ outcome-linked interactions. ~30% of new leads are repeat leads. No competitor has a sales-interaction graph at this scale.
Proprietary routing across 400M interactions. Chooses the right model for every conversation. 70-90% cost reduction vs direct API calls.
Real Indian sales call audio across 6+ languages and 15K+ pincodes. Takes years and millions of calls to build. Cannot be replicated.
The Turing Test result has been covered by leading technology and business publications.
81% of BFSI leaders could not distinguish SquadStack's AI voice agent from a human caller in blind tests. Our AI agents now match or beat human benchmarks on naturalness, performance, and efficiency across live enterprise campaigns.
Before the tipping point, AI is treated as a copilot. After it, entire workflows get redesigned. Budgets get reallocated. Adoption jumps exponentially. SquadStack has crossed that line.
We defined and executed two complementary tests to prove indistinguishability at both the perception and functional level. No cherry-picking, no lab conditions.
The classic Turing approach. Participants listened to 4 real customer call recordings (2 AI agents, 2 human agents) without knowing which was which. They had to identify the human conversations.
Goes beyond perception. We measured three dimensions across 4 live enterprise campaigns: naturalness (ADR), performance (conversion/qualification), and efficiency (AHT, cost per outcome).
Month-on-month improvement in blind test recognition, and matched or exceeded human benchmarks across all four live campaigns.
This wasn't tested on random internet users. The evaluators were senior BFSI professionals who manage contact centres and sales teams for a living.
Global Fintech Fest (GFF) is attended by BFSI leaders, technologists, and policymakers from around the globe. Participants included CXOs, heads of contact centre operations, technology leaders, and enterprise sales directors, the exact people who evaluate and purchase voice AI solutions.
Each participant listened to 4 real customer call recordings, 2 from AI agents and 2 from human agents, with no indication of which was which. 1,273 of 1,563 participants (81%) picked at least one AI agent conversation as a human conversation.
Earlier internal tests in July 2025 started near a 50-50 coin toss. The improvement to 81% reflects rapid, compounding gains in SquadStack's voice AI quality over just four months.
When AI agents match humans in naturalness, performance, and efficiency, the conversation shifts from "can AI do this?" to "why would we not use AI?"
81% of trained BFSI professionals couldn't tell AI from human. Your customers are even less likely to notice. That means you can deploy AI without risking brand experience or customer trust.
AI agents matched or beat human agents on conversion, qualification, and resolution, at 4x lower cost. You're not trading quality for savings. You're getting both.
Scaling human teams means hiring cycles, 2-3 month ramp periods, attrition, and inconsistent quality. AI agents scale like code: instantly, consistently, and with identical performance up to two decimal points.
This isn't a demo recording or a cherry-picked call. It's 1,563 blind evaluations and 4 controlled campaign comparisons with pre-existing human benchmarks. Ask your current vendor for equivalent evidence.
Trained on 5M+ hours of real Indian sales call audio across 6+ languages and 15K+ pincodes. Handles Hindi, Hinglish, Tamil, Telugu, Kannada, Marathi, code-switching, background noise, and interruptions natively.
SquadStack is globally the first in the contact centre category to pass the Turing Test. No other voice AI vendor has published equivalent evidence of human-level naturalness and performance combined.
Passing the Turing Test wasn't a single breakthrough. It was the compound result of building every layer of the voice AI stack in-house, trained on Indian contact centre data.
Trained on 5M hours of Indian telephonic data. Beats Deepgram Nova 2 (27%), Sarvam (36%), and ElevenLabs (38%) on word error rate.
1,000+ real Indian agent voices. MOS score beats ElevenLabs (4.41) and Sarvam (3.78). 70% cost reduction vs API pricing.
Median STT latency under 0.8 seconds vs industry 1-1.5s. Natural turn-taking with hundreds of micro-optimisations for conversational flow.
400M+ outcome-linked interactions. ~30% of new leads are repeat leads. No competitor has a sales-interaction graph at this scale.
Proprietary routing across 400M interactions. Chooses the right model for every conversation. 70-90% cost reduction vs direct API calls.
Real Indian sales call audio across 6+ languages and 15K+ pincodes. Takes years and millions of calls to build. Cannot be replicated.
The Turing Test result has been covered by leading technology and business publications.
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