AI voice agents and human expertise for contact center operations
SquadStack operates a hybrid contact center platform combining voice AI agents with human handlers and workflow orchestration, processing 750,000+ interactions daily for consumer brands. The tech stack reveals a data-heavy, analytics-driven architecture—SQL Server, SAP, Oracle, Power BI, and ML libraries (scikit-learn, XGBoost, LightGBM)—paired with Python and RAG systems for voice personalization. Active hiring across engineering, data, and design signals investment in product depth rather than pure scale, while open projects around conversation quality and RAG systems indicate ongoing model refinement.
SquadStack rebuilds contact center operations for enterprises using a blend of voice AI agents, human agents, and intelligent workflow routing. The platform covers the customer lifecycle from lead qualification and sales acceleration through support and re-engagement, with published metrics of 40% conversion lift and 3x cost reduction. The company works with 50+ brands across financial services, logistics, e-commerce, and education. Based in Noida with 201–500 employees, SquadStack operates entirely within India's hiring footprint and appears to balance product engineering against operational delivery at scale.
Python, JavaScript, SQL Server, Oracle, SAP, AWS, PyTorch, scikit-learn, XGBoost, LightGBM, RAG, Power BI, HubSpot, and Meta/Google/LinkedIn Ads for analytics and campaign orchestration.
Noida, Uttar Pradesh, India. The company was founded in 2014 and is privately held with 201–500 employees.
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