Explore how we've helped organizations transform their data capabilities with enterprise search, scraping, and reporting solutions.
A large enterprise needed to search across disparate systems including Salesforce, SharePoint, databases, and file systems. Employees were wasting hours searching for information.
Built a centralized search system that pulled from CRMs, databases, cloud drives, and file systems, delivering a single, unified search experience with semantic understanding and permission-aware results.
Traditional keyword search was failing to understand user intent and context, leading to poor search results and frustrated users.
Implemented semantic search with embeddings, vector similarity, and query expansion using NLP models to understand user intent beyond simple keyword matching.
Thousands of scanned PDFs and image-based documents were not searchable, making document retrieval slow and inefficient.
Indexed scanned PDFs, contracts, and image files using OCR technology, enabling full-text search within hand-signed or image-based documents.
A client needed a scalable, cost-effective scraping solution that could handle millions of requests daily without infrastructure management overhead.
Built a serverless architecture using AWS Lambda, Fargate, EventBridge, and Knime for orchestration. Data flows through S3 and Glue into Aurora PostgreSQL with full CloudWatch observability.
Traditional scrapers failed on modern single-page applications with heavy JavaScript, dynamic content loading, and bot detection.
Implemented Puppeteer and Playwright with stealth mode, proxy rotation, and smart retry logic to scrape dynamic content reliably while avoiding detection.
Leadership needed unified visibility across sales, marketing, and operations but data lived in separate systems.
Built Power BI dashboards with DAX calculations, row-level security, and real-time data refresh from multiple sources including Salesforce, MySQL, and Google Analytics.
Business users needed the ability to create their own reports without relying on the data team for every request.
Designed SQL-first dashboards with curated datasets, multi-level filters, and pre-calculated metrics using Apache Superset, enabling self-serve analytics.
Clients wanted to see campaign performance directly in their portal without logging into separate analytics tools.
Integrated token-secured Tableau and Power BI reports into the client portal with role-based access and automated data refresh.
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