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

EntrackrEntrackr · 2m ago
Apna.co expands into voice AI with BlueMachines.ai; sees fast enterprise AI adoption
Medial

Apna.co, India’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 Apna’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 India’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, “Blue Machines marks India’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.” He added that the new vertical complements Apna’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. “Every company is experimenting with AI, but very few are running it successfully in production,” said Kshitij Jain, COO of Blue Machines. “Our approach allows enterprises to go live in days, not months, with fully operational and compliant systems — proving that enterprise Voice AI can work at scale.”

Gnani.ai raises $4 Mn in Series A round from Info Edge Ventures

EntrackrEntrackr · 1y ago
Gnani.ai raises $4 Mn in Series A round from Info Edge Ventures
Medial

Gnani.ai, a voice-first generative AI firm, has raised Rs 30 crore or about $4 million in its Series A round from Info Edge Ventures. The proceeds will be used for sales growth and expansion of Gnani.ai’s business across geographies, Gnani said in a press release. The firm counts Samsung Ventures as an investor. Founded in 2016 by Ganesh Gopalan and Ananth Nagaraj, Gnani.ai’s unique generative AI platform transforms customer experience for multiple customers across the globe. The startup offers a no-code voice first platform with multiple product capabilities – omnichannel conversational automation, agent assist, voice biometrics, and omnichannel analytics. It has a patented proprietary tech-stack for TTS, STT, NLP and augmented intelligence that works not just for English but also for 14 Indian languages. Gnani recently announced a series of Voice-first AI SLM models (Small Language Models). The initial rollout of Gnani.ai’s SLMs targets domains such as banking, insurance, automotive, and retail.

Smallest.ai raises $8 Mn in seed funding led by Sierra Ventures

EntrackrEntrackr · 1m ago
Smallest.ai raises $8 Mn in seed funding led by Sierra Ventures
Medial

Enterprise Voice AI platform Smallest.ai has raised $8 million in seed funding led by Sierra Ventures, with participation from 3one4 Capital and Better Capital. The company will use the funds to expand its operations across North America and India, enhance its AI-driven voice automation stack, and deepen enterprise adoption in regulated industries such as banking, financial services, retail, healthcare, and IT. The San Francisco and Bengaluru-based startup has also appointed Apoorv Sood as Global Head of Go-To-Market (GTM) to lead enterprise growth, partnerships, and adoption across global markets. Founded by Sudarshan Kamath and Akshat Aandloi, Smallest.ai’s proprietary platform combines speech recognition, natural language understanding, and speech synthesis to deliver real-time, human-grade conversations. Its Lightning engine achieves 100 ms latency, while its Electron model is said to be 10x faster than leading benchmarks. The company claims to serve enterprises such as Paytm, MakeMyTrip, ServiceNow, and Dalmia Cement, supporting multilingual capabilities with more Indian languages to be added soon. Smallest.ai reported 300% growth in the US and 150% year-on-year growth in India, driven by rising demand for scalable voice automation. The platform helps reduce support costs by up to 80%, boosts agent productivity 10x, and ensures 24x7 availability for large organizations. The Voice AI market is projected to reach $47.5 billion by 2034, highlighting the growing enterprise adoption of conversational AI systems globally.

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