Unifying Marketing, CRM, and Revenue Analytics Using HubSpot, GA4, BigQuery, and Power BI
A group of real estate–focused service businesses partnered with NeenOpal to unify their marketing, CRM, and revenue analytics. Data was fragmented across platforms like HubSpot, GA4, and advertising tools, making it difficult to track how marketing efforts translated into leads and revenue. NeenOpal designed an integrated analytics ecosystem using HubSpot, GA4, BigQuery, Coupler.io, and Power BI to create a scalable, reliable, and decision-ready reporting layer without disrupting the existing stack.
Cloud Migration for Secure, Scalable Dental Imaging on AWS
Our client operates a network of dental clinics relying on on-premise servers to receive DICOM imaging batches and perform 3D reconstruction. While this setup handled day-to-day operations, it introduced significant scalability constraints, inconsistent performance, and mounting operational overhead. To modernize their imaging infrastructure, our client partnered with NeenOpal to design a secure, HIPAA-compliant cloud architecture on AWS, enabling reliable DICOM cloud migration, GPU-based medical image processing, and centralized management of sensitive dental imaging data.
AI-Powered Video Persuasiveness Prediction Using Generative AI
A leading non-profit organization invests heavily in video campaigns ($50K–$200K per video) to inspire audiences and drive meaningful action. However, their manual impact testing process was slow, costly, and limited to only a small subset of high-budget productions. Without a scalable evaluation method, most videos went untested, creating a high-risk content strategy with minimal feedback to guide creative decisions. NeenOpal developed a GenAI-powered video analysis solution that automatically extracts persuasive features from video content and predicts impact scores, enabling data-driven content strategy across their entire video portfolio.
Enabling Intelligent Service Discovery and Personalized Recommendations for an InsurTech Platform
A leading InsurTech services provider partnered with NeenOpal to build a GenAI-powered Marketing Assistant that helps prospects, existing customers, and internal teams understand service offerings and identify relevant solutions through natural language interaction. The goal was to replace static service pages and manual discovery with an intelligent, conversational, and visual experience that enables users to explore services, understand coverage, and receive personalized recommendations based on their profile, usage context, and permissions. NeenOpal delivered a secure, Azure-native Retrieval-Augmented Generation (RAG) solution that provides accurate, grounded, and tenant-safe responses at scale.
Unlocking Instant Cash Flow for Businesses Using AR Factoring Platform
The client partnered with NeenOpal to build a modern AR Factoring platform tailored for gas station businesses in the fuel and energy retail sector. The objective was to enable faster access to working capital by advancing funds against card-based receivables, while maintaining strong risk controls, compliance, and operational scalability. NeenOpal brought this vision to life by designing a fully automated, cloud-native solution that seamlessly manages onboarding, funding, repayment, and auditability.
Unified Marketing Analytics & Cohort-Based Funnel Tracking
The client is a Chicago-based integrative healthcare provider operating multiple clinics across the Chicagoland area. They specialize in holistic, patient-centered care, offering a wide range of non-surgical and non-pharmaceutical services, including chiropractic care, acupuncture, functional medicine, and nutrition counseling. With a strong focus on convenience, transparency, and personalized wellness solutions, the organization supports high patient volumes while managing complex pricing structures across multiple insurance providers and service lines.
Modernizing Finance Data Integration & Analytics Using AWS, Snowflake, and Power BI
A global manufacturing organization with regional headquarters in the United States operates across various sectors, including agriculture, construction, marine, and industrial. The company produces advanced diesel engines, diesel-powered equipment, and gas engine-based energy systems, with finance operations supporting complex, high-volume ERP-driven reporting needs.
Automating Financial Intelligence for Holistic Healthcare
Based in Chicago, the client is a leading integrative healthcare provider offering holistic, patient-centered care across multiple clinics in the Chicagoland area. Their services include chiropractic care, acupuncture, functional medicine, and nutrition counseling, with a strong focus on non-surgical and non-pharmaceutical treatments. As the organization expanded, financial reporting remained largely manual and spread across QuickBooks Online modules, limiting real-time visibility into performance across clinics.
LLM Migration from OpenAI to Amazon Bedrock
A leading marketing advisory specializing in wealth management and investor communications was running a core generative AI capability for AI powered, FINRA and SEC compliant email generation on OpenAI GPT models. While the solution delivered early value, growing concerns around data security, compliance governance, escalating API costs, and single vendor dependency created an urgent need to migrate to a more enterprise grade and sovereign AI stack.
Simplifying High-Complexity Analytics with AWS QuickSight and AWS Data Services
A U.S.-based market research and consulting firm generating large volumes of survey and analytical data faced growing complexity in managing its analytics environment due to extensive calculations and numerous dashboards. NeenOpal addressed this by implementing an optimized architecture using Amazon QuickSight and a redesigned data pipeline, simplifying the framework while preserving deep research insights.
