Akamai Cloud Powers Sarv AI-Driven Public Services at Scale

Sarv leverages Akamai Cloud to deliver AI-powered public services, emergency response, and enterprise collaboration at national scale.

As governments and enterprises accelerate the adoption of AI to modernize citizen services, the underlying infrastructure has become a decisive factor. Latency, cost predictability, and elastic GPU capacity now determine whether AI-driven services remain responsive under real-world load. Sarv, a leading provider of CPaaS and UCaaS solutions, chose Akamai Cloud as the foundation for its expanding portfolio of AI applications serving millions of end users across India.

What was announced

Akamai Technologies announced that Sarv is running a range of mission-critical AI platforms on Akamai Cloud. The environment, managed and continuously optimized by CloudMinister Technologies, supports AI-powered public services, emergency response, cybersecurity, and enterprise collaboration workloads.

Today Sarv operates on Akamai Cloud multiple large-scale platforms, including DeepCall (emergency response), Naam (cybercrime prevention), Kar Saathi (AI-powered chatbot), and the Sarv Workspace and Sarv Drive collaboration suite serving more than 500,000 users nationwide.

As organizations increasingly adopt AI to improve citizen services, the underlying infrastructure becomes critical to ensuring those services remain responsive, reliable, and scalable. Sarv's deployment demonstrates how Akamai Cloud helps power mission-critical AI applications at scale while maintaining the predictability and reliability required for such environments.

Why this matters

For CIOs, CISOs, and IT directors evaluating AI infrastructure, the Sarv case study illustrates how workload-optimized cloud platforms can deliver GPU-backed AI services with the cost predictability that traditional hyperscaler models often lack. Emergency response, fraud prevention, and citizen-facing chat services demand sub-second latency and continuous availability. Procurement leaders benefit from a transparent compute model that aligns with long-term AI roadmaps.

Cost efficiency, scalability, and performance are critical for the platforms we build and operate. Akamai Cloud provides the infrastructure foundation required to support our growing portfolio of AI-powered public services, emergency response systems, cybersecurity platforms, and enterprise collaboration solutions. The platform's cost predictability and efficient compute infrastructure have enabled us to deliver AI capabilities at scale while maintaining strong operational efficiency.

Technical details

• DeepCall: runs on Akamai C7 Compute with NVIDIA RTX PRO 6000 Blackwell GPUs and high-performance storage, processing approximately 100 million calls and analyzing over 5.5 million critical emergency calls daily using voice biometrics, STT, and conversational analytics.
• Conversational AI stack: STT, TTS, language identification (LID), and AI agents deliver end-to-end response times as low as 400 milliseconds, with STT and TTS latency of 50 to 90 milliseconds.
• Naam: uses Akamai Compute and Object Storage to identify and block approximately 7,000 fraudulent phone numbers and malicious websites each day, protecting more than 220 million telecom subscribers.
• Kar Saathi: AI-powered chatbot for citizen engagement running on Akamai infrastructure.
• Sarv Workspace and Sarv Drive: enterprise collaboration suite serving 500,000+ users.

Softprom and Akamai

Softprom is the official distributor of Akamai. Our team helps enterprises design, deploy, and scale Akamai Cloud environments for AI, security, and edge workloads.

This content was prepared as part of the Softprom DistriFlow project — an automated system for monitoring and adapting vendor news. Original source: original article.