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SquadStack

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(3)4.2/5

SquadStack.ai is India's leading AI-native agentic sales platform, built for large consumer brands that run thousands to lakhs of sales calls a day and are bottlenecked by the cost, quality, and scalability limits of human-only teams. SquadStack's outcome-driven Voice AI agents handle 53 million+ sales interactions daily across voice, WhatsApp, SMS, and in-app channels. Enterprises using the platform see up to 90% lead connectivity, 40% higher conversions, and 2-3x lower customer acquisition cost compared to human-only benchmarks. SquadStack ships as a single integrated stack, so clients don't need to assemble or integrate separate tools: - Intelligent Lead Management: prioritizes and routes leads based on readiness and context. - Humanoid AI Agent: the core conversational AI agent running voice-based sales conversations designed to be indistinguishable from a human rep. - Omnichannel Engagement: coordinates conversations across voice, WhatsApp, SMS, and in-app touchpoints. - Quality Monitoring: dual-layer QA combining AI scoring across 23 parameters on every call (not a sample) with human review on flagged and compliance-critical conversations. - ROI Optimizer: continuously tunes campaigns toward conversion and cost outcomes. - Voice of Customer Insights: surfaces structured insights from call data back to the business. - Control Tower: real-time dashboard for monitoring campaign performance. - Overwatch: real-time observability with per-turn latency decomposition, infrastructure health monitoring, and one-click drill-down to recordings, built to catch faults before they repeat at scale. - Lift: a self-improvement layer with a mandatory human review gate and A/B validation; compliance-related sections are structurally locked. - RAG & Context Management: keeps agent memory intact across long calls (20–45+ minutes) so the agent doesn't forget details or repeat questions; product knowledge is retrieved in under 100ms at ~97% accuracy. - PII Redaction: inline redaction of personally identifiable information in the conversation layer. - Vernacular Voice AI : native multilingual support with mid-sentence code-switching (e.g., Hindi-English, Tamil-English), built for how Indian customers actually speak. Proprietary AI Stack - Arth (Speech-to-Text): trained on 600M+ minutes of real Indian telephony data; handles code-switching, regional accents, noisy 8kHz call audio, and Indian entity recognition (names, PIN codes, policy numbers) — conditions where general-purpose STT trained on YouTube or read-speech data typically breaks down. - Maya (Sales LLM): a sales-specific LLM adapted on 400M+ real sales interactions and outcomes, built for multi-turn objection handling, compliance-aware dialogue, and outcome-driven decisions within a live call. We work with large consumer brands including Kotak Mahindra Bank, AngelOne, Bajaj Broking, PhonePe, BankBazaar, TATA AIG, CreditMantri, KreditBee, IIFL, DMI Finance, IndiaMART, JustDial, Swiggy, Amazon (seller onboarding), Khatabook, Eureka Forbes, TVS Motor, Tata Digital, Housing.com, Traya, SolarSquare, Delhivery, Shiprocket, Shadowfax, WheelsEye, Parul University, Amity University, NIIT, Classplus, Adda247, Collegedunia, Infinity Learn, NxtWave, Unacademy, redBus, GoIbibo, and MediBuddy. SquadStack is ISO 27001 and ISO 27701 certified, SOC 2 Type II compliant, and aligned with India's DPDP Act and TRAI regulations. All models and data are hosted in India, with inline PII redaction and compliance-aware dialogue enforced directly in the conversation layer.

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