SquadStack.ai

SquadStack is a Noida, India company whose platform blends human-like voice AI agents with vetted human telecallers into what it calls the first AI agent stack for consumer sales. Its proprietary voice model is trained on more than six hundred million minutes of real Indian contact center conversations, handling Hinglish and other code-switched speech, language switching, interruptions, and noise across more than eight Indian languages, and the company reports over forty lakh calls daily. The system runs propensity-based lead prioritization built on behavioral data from more than ten crore Indian consumers, anti-spam compliance, and smart scheduling, and connects journeys across call, WhatsApp, SMS, and in-app so each channel knows what happened on the last. Named results include a forty percent activation lift at brokerage Upstox across more than two crore leads, an eighty two percent conversion lift in loan disbursals at Kissht, thirty three percent better lead qualification accuracy with sixty five percent lower cost per lead at IndiaMART, and a fifty five percent containment rate with eighty six percent positive CSAT and seventy percent cost reduction in support at OTT platform STAGE.

The platform is explicitly hybrid: AI agents handle high-volume repetitive calls and hand off to trained human telecallers for complex, high-touch conversations under documented handoff protocols. Quality runs through combined AI and human audits across twenty three parameters, and teams can run controlled experiments on voice, prompt, channel sequence, and call timing to compound gains. Compliance is a first-class pillar, with ISO 27001, SOC 2, DPDP, and TRAI compliance, India data residency on the AWS Mumbai region, role based access controls with audit trails, PII redaction in recordings and transcripts, encryption at rest and in transit, and regular penetration testing.

SquadStack sits in the voice agent lane with a strong GTM and revenue orientation, spanning sales and lead qualification, customer support, collections, and operational calls across brokerage, lending, banking, insurance, e-commerce, education, healthcare, auto, and travel. It is a strong fit for consumer businesses running high-volume outbound and inbound calling in Indian languages that want AI plus human orchestration with compliance built in, and a weaker fit for teams wanting model choice, self hosting, or a developer-first voice API, which are not documented.