Sarv Leverages Akamai Cloud to Scale AI-Powered Citizen Services Across India

As AI adoption grows, the biggest challenge is no longer building intelligent applications—it's running them reliably at scale. Sarv leverages Akamai Cloud to strengthen the infrastructure behind its expanding portfolio of AI-powered public services, cybersecurity platforms, and enterprise collaboration tools, signaling how cloud architecture is becoming a strategic differentiator for digital transformation.

Building AI on a Scalable Infrastructure

Sarv migrated its critical workloads to Akamai Cloud to create a more cost-efficient and scalable foundation for its AI portfolio. The cloud environment, managed by CloudMinister Technologies, now supports applications spanning emergency response, cybercrime prevention, AI chatbots, and enterprise collaboration used by millions across India.

This move reflects a growing enterprise focus on infrastructure that can support both rapid AI innovation and predictable operational performance.

AI Services Running at National Scale

The deployment highlights the scale of Sarv's AI ecosystem.

DeepCall processes nearly 100 million calls while analyzing over 5.5 million emergency calls every day using AI-powered voice biometrics, speech-to-text, and conversational analytics. Meanwhile, Sarv's conversational AI platform delivers response times as low as 400 milliseconds, with speech processing latency between 50 and 90 milliseconds.

Cybersecurity is another major focus. Naam uses Akamai's compute and storage services to identify nearly 7,000 fraudulent phone numbers and malicious websites daily, helping protect more than 220 million telecom subscribers.

Infrastructure Becomes the Real AI Advantage

According to Akamai, organizations deploying AI-driven citizen services increasingly depend on cloud infrastructure that remains responsive, secure, and scalable under heavy workloads. Sarv's leadership echoed this view, highlighting cost efficiency, predictable infrastructure, and operational performance as key factors supporting its expanding AI services.

What This Means for Enterprises

The collaboration shows that successful AI adoption depends as much on infrastructure as on algorithms. As demand for Scalable Public Infrastructure and Scaling AI-driven citizen services grows, enterprises are investing in cloud platforms capable of delivering performance, security, and operational efficiency simultaneously.

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