Our Core Competencies
Cloud & Data Architecture
Architecting highly scalable, cost-efficient cloud infrastructures that reduce cloud expenditure while enhancing data security, governance, and performance.
Data Cost Optimization & Scalability
Implementing cloud-agnostic solutions designed to minimize data storage and processing costs, while enabling scalable, responsive data environments.
Unified Data Governance
Crafting robust data governance frameworks that ensure compliance, mitigate risk, and improve data accessibility without unnecessary data movement.
Data Integration & Automation
Developing seamless data pipelines and automation solutions that reduce manual effort, accelerate decision-making, and integrate diverse data sources with minimal disruption.
Featured Product
StratifyIQ™
Our StratifyIQ™ Solution Architect service uses an intelligent, industry‑specific questionnaire to guide organizations in crafting a tailored data strategy and cloud architecture.
- Advanced AI Integration: Gain deeper insights.
- Up‑to‑Date Knowledge Base: Latest cloud technologies.
- Tailored In-depth up to 33-factor assessment: Customized for your industry.
- Dynamic Follow‑Up: Comprehensive strategy analysis.
Our Technology Stack
Cloud Platforms
Microsoft Azure & AWS – Cost-effective, secure, and scalable solutions tailored to your business needs.
Data Integration
Microsoft Fabric, SQL Server, Azure Data Factory, AWS Glue – Creating robust data pipelines that minimize unnecessary data movement.
AI & Machine Learning
Azure AI, AWS SageMaker, TensorFlow – Empowering predictive analytics and intelligent automation.
Data Governance
Microsoft Fabric, Azure Purview, AWS Lake Formation – Ensuring compliance, accessibility, and governance across all data sources.
Big Data Technologies
Azure Synapse Analytics, AWS Redshift, Apache Hadoop – Handling large-scale analytics with precision and agility.
Automation & DevOps
GitHub Actions, Azure DevOps, AWS CodePipeline – Implementing CI/CD and continuous integration for seamless workflows.
Our Story
DeepWaveIntel™ began with a bold mission: to create high-quality datasets for extreme weather analysis and antimicrobial resistance (AMR) research. As we navigated the complexities of integrating diverse data sources—from flight paths and shipping lanes to low-orbit satellites and environmental sensors— we quickly encountered the real-world challenges of cloud data architecture.
From orchestrating multi-source pipelines to deduplication, time-series processing, and AI-driven insights, we experienced firsthand the intricate balancing act of scalability, governance, and cost efficiency in cloud environments. Leveraging free-tier services across Azure and AWS, we pushed the limits of what was possible while keeping costs in check.
This journey led to a deeper realization: the need for optimized cloud data architectures that not only reduce expenses but also enhance performance, security, and governance. Today, DeepWaveIntel builds solutions that empower organizations to make smarter, cost-effective cloud decisions—from intelligent data integration to AI-driven cost optimization.
At our core, we believe that the future of cloud data is not just about storage, networking and compute—it’s about strategy , efficiency, and unlocking true value from your data.