Manorath Foundation was struggling with fragmented data sources, manual reporting processes, and escalating infrastructure costs. Their existing data warehouse was inefficient and couldn't scale with growing data volumes.

We designed and implemented a modern data lake architecture using cloud-native technologies. Our solution included automated ETL pipelines, real-time data processing, and a comprehensive data quality framework.

The client needed a comprehensive solution to analyze complex business processes, identify bottlenecks, and predict potential failures before they impacted operations.

We developed an AI-powered process analysis engine that continuously monitors business workflows, applies machine learning algorithms to identify patterns, and provides predictive insights for proactive decision-making.

GreenTech Solutions wanted to build a data warehouse that aligned with their sustainability goals while maintaining high performance and reliability.

We designed and implemented a solar-powered data warehouse with intelligent energy management, AI-driven anomaly detection, and comprehensive monitoring systems.

The manufacturing client needed an automated quality control system that could identify defects and missing components in real-time during production.

We developed a computer vision-based inspection system using deep learning algorithms that analyzes products in real-time, identifies defects, and triggers automated quality control processes.

Logistics Plus needed a real-time data processing platform to handle high-volume streaming data from multiple sources and provide instant analytics for decision-making.

We built a comprehensive real-time data streaming platform using Apache Kafka, Apache Spark Streaming, and cloud-native technologies for processing and analyzing streaming data.

The e-commerce client wanted to improve customer engagement and conversion rates through personalized product recommendations and dynamic content delivery.

We developed advanced recommendation engines using collaborative filtering, content-based filtering, and deep learning algorithms to provide personalized experiences.

The retail chain needed a unified analytics platform to track sales performance across multiple offline stores and provide real-time insights for business decisions.

We implemented a comprehensive POS analytics system that ingests data from multiple stores, processes it in real-time, and provides unified reporting and analytics dashboards.

Pinnacle Inc had fragmented data pipelines and expensive analytics infrastructure that was difficult to maintain and scale.

We transformed their data architecture into a consolidated, event-driven system with optimized data warehouse performance and cost-effective analytics solutions.

Both organizations needed AI-powered solutions to automate manual processes, including image processing, data transformation, and workflow optimization.

We developed multiple AI applications including image captioning, intelligent background recoloring, and automated data transformation tools to streamline their operations.

Cyamsys needed comprehensive IoT and mobile solutions including device integration, embedded programming, and a multi-language document processing app.

We delivered full-stack IoT and mobile solutions including IBM Watson integration, embedded programming for microchips, and the Bharat Paper Scanner App with OCR and translation capabilities.

The enterprise needed an AI-powered HR assistant to handle employee queries about policies, benefits, and compliance, reducing HR workload and improving employee experience.

We developed a Generative AI-powered HR assistant that understands natural language queries and provides instant, accurate responses about HR policies, benefits, and compliance.

The recruitment agency needed an AI-powered solution to analyze resumes, match candidates with job descriptions, and streamline the hiring process.

We developed an intelligent resume analyzer that uses natural language processing and machine learning to analyze resumes, match them with job requirements, and generate candidate fit summaries.