AI-driven analytics and data engineering for Fortune 500 enterprises
LatentView Analytics is a consulting-led data platform company serving 50+ Fortune 500 clients across technology, financial services, CPG, retail, and healthcare. The tech stack reveals a dual-track operation: Adobe and LiveRamp for marketing analytics and real-time audience activation, paired with Snowflake + dbt-adjacent tooling for enterprise data engineering. Heavy investment in ML infrastructure (PyTorch, TensorFlow, SageMaker, LangChain, Hugging Face) alongside active fraud-detection and risk-modeling projects signals a shift toward AI-native consulting deliverables, especially in fintech compliance and money-movement security.
LatentView Analytics provides AI-driven analytics, data engineering, and consulting to large enterprises. The company operates across five core verticals: marketing analytics (Adobe stack, A/B testing, customer journey mapping), customer analytics (segmentation, predictive models), risk and fraud (fintech compliance, fraud detection), supply-chain analytics, and business analytics (forecasting, optimization). With 1,001–5,000 employees headquartered in Chennai and offices in the United States, Europe, UK, and Singapore, the firm operates a global delivery model typical of India-based consulting at scale. Public company status and 50+ Fortune 500 relationships indicate mature enterprise sales and delivery infrastructure.
Core: SQL, Python, R, Tableau, Snowflake, AWS, GCP, Azure. Marketing: Adobe Analytics, Adobe Experience Cloud, LiveRamp. ML/AI: PyTorch, TensorFlow, SageMaker, Vertex, LangChain, Hugging Face, MLflow. DevOps: Docker, Kubernetes.
Active projects: A/B testing, fraud detection for money movement, enterprise data lakehouse builds, feature stores, risk policy development for fintech, privacy compliance and consent-based tracking, digital data collection, and AI/ML prototype development.
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