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Apna.co expands into voice AI with BlueMachines.ai; sees fast enterprise AI adoption

EntrackrEntrackr ยท 3m ago
Apna.co expands into voice AI with BlueMachines.ai; sees fast enterprise AI adoption
Medial

Apna.co, Indiaโ€™s leading jobs and careers platform, has expanded into enterprise Voice AI with the launch of BlueMachines.ai, a new vertical focused on enabling businesses to deploy voice-based AI agents at scale. The platform is designed to deliver reliable, compliant, and multilingual AI solutions built on Apnaโ€™s existing AI infrastructure. With Blue Machines, enterprises can create and deploy production-ready AI voice agents in record time. Within just 45 days of launch, the platform signed over $6 million worth of enterprise contracts, marking one of the fastest adoption curves in Indiaโ€™s enterprise AI segment. It is already being implemented across sectors such as lending, mutual funds, insurance, healthcare, recruitment, and edtech, underscoring strong market demand for AI-driven automation. Nirmit Parikh, Founder and Group CEO of Apna, said, โ€œBlue Machines marks Indiaโ€™s entry into the global enterprise Voice AI race. Our platform stands out for execution speed and reliability; deployments go live in under a week compared to the industry average of five to six weeks. It has achieved a 100% implementation success rate, which is rare in enterprise AI.โ€ He added that the new vertical complements Apnaโ€™s core business, which grew 52% year-on-year in 2025. The platform delivers sub-300 millisecond latency, supports multiple Indian languages and dialects, and ensures enterprise-grade data governance for secure and seamless operations. Blue Machines follows a platform-plus-people model, combining advanced AI infrastructure with Forward-Deployed Engineers (FDEs) who help enterprises move quickly from prototype to production. โ€œEvery company is experimenting with AI, but very few are running it successfully in production,โ€ said Kshitij Jain, COO of Blue Machines. โ€œOur approach allows enterprises to go live in days, not months, with fully operational and compliant systems โ€” proving that enterprise Voice AI can work at scale.โ€

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