AI use cases in India
15 documented implementations
Prime Focus Technologies Transforms Content Localization with Agentic AI on AWS
Media technology company Prime Focus Technologies built AI agents on Amazon Bedrock running Anthropic's Claude and LangGraph for its CLEAR AI platform, automating subtitling, translation and transcript generation, cutting content localization costs by 20-30% and turnaround time by 30-40% while improving accuracy by 20-30%.
Closing deals with better customer insights
Xanadu Realty, an Indian real estate firm, partnered with Exponentia.ai to build the Xanadu Decision Engine (XDE) on the Databricks Data + AI Platform, enabling conversational analytics, lead scoring and AI-driven virtual assistance for sales teams. Using Delta Lake, a feature store and MLflow to manage the ML lifecycle, Xanadu achieved a 25% increase in lead-to-customer conversion ratio and is developing further ML models and generative AI capabilities, including LLM-powered chatbots.
Leveraging hyper-personalization: Enriching the player journey through data and automation
Games24x7, an Indian online gaming platform with over 100 million players, partnered with Databricks to unify data operations and automate data pipelines supporting its machine-learning-driven hyper-personalization and fraud detection systems. The move deployed fraud prediction models 16% faster and reduced operational costs for BI workloads by 20%, while a marketing optimization platform built on the Databricks Data + AI Platform tracks and scales campaign performance.
Oriserve's generative AI voice bots cut cost to serve 50% and lift a telecom client's customer retention 75%
Oriserve, an India-based generative AI customer engagement startup, built multilingual AI agents and conversation analytics on Amazon Bedrock supporting more than 120 languages and dialects. Using large language models including Claude 3.5 and Llama 3-70B, Oriserve reduced its cost to serve by 50% and cut LLM fine-tuning time from weeks to days, while its voice bot achieved 90% automatic speech recognition accuracy with 60% fewer word errors than industry standards. Indian telecom provider Vi used Oriserve's generative AI agents to immediately engage customers during the narrow window after a number-port request is created, increasing customer retention rates by 75%; other customers included an education technology company that tripled qualified leads and a global retail brand that saw a 10% revenue boost.
Federal Bank lifts campaign engagement 50% with AI-driven marketing automation
Federal Bank, a prominent private-sector bank in India with more than 1,500 branches, adopted Oracle Sales and Oracle Marketing to replace slow, manual, batch-based customer engagement processes and fragmented customer views. With more timely, relevant, and personalized campaigns powered in part by AI-driven automation, the bank achieved 50% higher campaign engagement rates and a 40% improvement in email open rates, while the bank's Chief Marketing Officer credited AI-driven automation with saving the bank millions of rupees and enabling it to operate with a leaner team.
Myntra provides hassle-free, personalized shopping experiences with Databricks
Indian fashion e-commerce platform Myntra rebuilt its data architecture on Databricks Delta Lake with a medallion architecture to unify batch and streaming processing for real-time ML-driven recommendations, cutting infrastructure costs by 35% and improving real-time pipeline performance by 25%.
Tata 1mg expands healthcare accessibility across India with Databricks
Indian healthcare company Tata 1mg migrated from a legacy data warehouse to the Databricks Data + AI Platform with Unity Catalog and Delta Lake, reducing ETL costs by 50% and enabling over 1,000 non-data business users to access insights for location analytics, delivery route optimization and predictive maintenance.
ElasticRun helps small businesses improve supply chain with Databricks
Indian B2B e-commerce platform ElasticRun rebuilt its data infrastructure on Databricks with Delta Lake, Spark Declarative Pipelines and MLflow to manage over 10,000 machine learning models for supply chain and demand forecasting, cutting data pipeline slowdowns by 90% and IT costs by 33%.
Simpl ensures frictionless online payments for shoppers with Databricks
Indian checkout platform Simpl used Databricks SQL and Lakeflow Jobs to consolidate siloed data and speed up ML model training from several weeks to a single day, cutting time to market for ML models by 90% and improving analytics team turnaround time by 35%.
Tamilnad Mercantile Bank uses agentic AI to automate finance, HR, and customer service
Tamilnad Mercantile Bank unified finance, HR, sales, and customer service on Oracle Fusion Cloud Applications, chosen for embedded agentic AI capabilities. Expense management, customer service, and payroll are now fully automated, and employees handle twice as many service requests in half the time.
Fueling personalized travel with real-time insights
Adani Digital Labs replaced legacy systems with the Databricks Data + AI Platform to power real-time, AI-driven personalization on the Adani OneApp, launching 15+ production use cases including geospatial analysis and ML-driven product recommendations, cutting operational costs by 29% and development time by 20%.
Tailoring credit products to the diverse needs of customers
HDFC Bank's Credit Risk Analytics and Innovation department migrated from a 16-node Hadoop cluster to the Databricks Data + AI Platform on Azure, using Delta Lake and Unity Catalog to power fraud control, marketing optimization and credit risk model building, significantly reducing query time and accelerating data pipelines for downstream risk management.
Scaling Real-Time Lending and Analytics for Vivriti Capital
Vivriti Capital, an Indian fintech NBFC providing structured debt solutions, migrated from Amazon Redshift and an internally built open-source data platform (Spark, Airflow, custom orchestration) to Databricks in an eight-week phased migration covering roughly 20 workflows and 50+ pipelines. Databricks SQL now powers analytics and regulatory reporting separated from transactional lending systems, with governed lakehouse tables providing built-in lineage and time-travel for RBI/SEBI audit requirements. Vivriti uses Databricks Genie for semantic search and conversational analytics, replacing an in-house text-to-SQL solution, and is building toward AI-assisted underwriting, automated credit checks, fraud detection and borrower de-duplication within real-time latency requirements. The company reports roughly 25-30% lower total cost of ownership and about 20% faster SQL performance after the migration.
Zoho Corporation scales agentic AI adoption on Dell AI Factory with NVIDIA
Zoho uses the Dell AI Factory with NVIDIA, featuring Dell PowerEdge XE-Series servers with NVIDIA accelerated computing, NVIDIA NeMo and NVIDIA Quantum InfiniBand switches, to train and deploy AI solutions with Dell ProSupport providing infrastructure management. Zoho delivers AI solutions such as conversational AI, Zia Agents, Agent Studio and Zia LLM to 130 million+ users across 150+ markets.
Delhivery achieves 160 ms latency for high-precision geocoding using Amazon EKS
Delhivery, a logistics provider in India, implemented a fine-tuned open-source Llama 3.2 1B large language model on Amazon EKS to support high-volume geocoding of pickup and drop-off addresses. The system processes up to 8,000 requests per minute at 160 milliseconds latency using NVIDIA A10G GPU-backed G5 Xlarge instances and the vLLM framework. Delhivery cut model-serving costs by approximately 80 percent and accelerated prototyping cycles from two days to under six hours, working with the AWS Prototyping and Cloud Engineering (PACE) team.


