CWave Solutions

Cloud, AI/ML & Analytics Services. Delivering the High Velocity Benefit Stream with Strategy, Consulting & DevOps

“Trusted by global brands in Bio-Pharma, Financial Services, Healthcare, Insurance & Manufacturing.”

CWave Solutions team resources have been working on cloud migrations since 2010. During this period we’ve amassed a wealth of knowledge and experience on all major public cloud platforms working with Fortune 500 Companies. We pride ourselves in working with clients who appreciate the value of innovation, and who have the vision and rigor to disrupt. We prefer to work in a way that is nimble and pragmatic, creating frameworks and accelerators along the way, with a focus on creating value for our clients.

Our Services


Assessment & Roadmap

Prepare projects to evaluate the ‘Move to Cloud’ endeavor

Cloud Architecture & Integration

Define the right cloud architecture – Iaas, Paas, Saas or Faas

Data Services & Analytics

Big Data, Machine Learning, Data Analytics in Cloud


Automatic provisioning to reduce costs for continuous delivery pipelines

Cloud Ready, Cloud First & Cloud Native Awareness

Prepare the company to be ready for projects in Cloud

Innovation & Discovery

Application Portfolio Transformation and Data practice are evaluating cloud solutions and do proof of concepts to ease project adoption.

“We solve big problems and innovate whilst doing so. Our process is comprehensive and exceedingly effective.”



Cloud Migration Framework

Assessment & Preparation: During this phase, we work as one team to prioritize specific opportunities for extracting value from your data. We do this through a structured questionnaire, by challenging your internal assumptions around what’s possible, and through in-depth exploration of your enterprise processes. The outcome is a set of quantified opportunities to extract business value from your data. These engagements are typically immersion and cross-functional workshop-style interactions where we work together with your business teams and data science intellectual capital.

Automation in Discovery: We utilize automation tools that parse your data that expedites data archeology including data relationships, data quality and security infrastructure.

Prototyping: Our Prototype projects are 4-6-8 week engagements during which we create a production ready Minimally Viable Product (MVP) proving (or disproving) a hypothesis based on a prioritized business Use Case using your data. We work together with a focus on learning and iterate very quickly. We might want to develop an MVP showing that Machine Learning techniques could deliver significantly better results than your existing algorithms. Or, we design a pipeline allowing for 10x faster processing, allowing real-time applications. The outcomes are a tangible learning’s of how advanced data engineering or machine learning techniques could transform your business.

Model Training & Validation

CI/CD Deploy: “Continuous Integration /Continuous Delivery Deploy” projects focus on delivering high-quality, enterprise-level big data or machine learning applications that run in the production environment and transform the way your business works. We design and deliver advanced data pipelines leveraging AWS, MS Azure and Google Cloud Platform features. We deliver cloud-based, state-of-the-art systems that are scalable and future proof. Leveraging Cloud Platform technologies avoids high capital expenditure whilst keeping operational costs in line with your business needs (pay-as-you-go). We build blazing-fast dashboards built using best practices in data visualization that will not only deliver insights when you need them, but are aesthetically beautiful.

Scaling & Optimization: In “Optimize” projects, we engage with clients who have existing cloud-based data pipelines or machine learning models, but where opportunities exist to significantly improve the delivery, accuracy or cost benefits of the results. We work with you to identify the gaps and bottle-necks in your architecture, and suggest and implement actions to remediate. This may happen through architectural changes, introducing new technologies, or re-writing (parts of your) delivery model.

DevOps & CloudOps

Streamlined Agile Methodology: We have streamlined and geared our delivery model to align to delivering high velocity benefit streams for the business with Minimum Viable Product releases

Structured Change Management: We work with the project sponsors to instrument and guide the process of change to support the innovation.

“Our technology partnerships give you trusted access to state-of-the-art technology.”

Amazon Web Services
Google Cloud Platform

“We are always looking for awesome data engineers, cerebral data scientists, machine learning / AI adepts, and visualization zen masters. We’d love to learn from your experience and share ours. Come and have a chat with us or meet us at one of the meet-ups we organize on a regular basis.”

By far the best team I've ever worked with. They truly understood the look I was going for and completely nailed it! I would highly recommend them as a company, you won't find any better!

Carly Young, Cloud Engineer

It was really fun getting to know the team during the project. They were all helpful in answering questions and made me feel at ease. The design ended up being better than I could've envisioned!

Jeff Gemmell, Cloud Architect

I'm wondering why I never contacted these guys sooner! They have commendable talent in their fields and knocked my concept out of the ballpark. An amazing experience!

Mark Levin, Cloud Hub

Consult with Us

    Locations & Contacts


    Boston, MA
    Los Angeles, CA
    San Diego, CA
    Philadelphia, PA
    Plano, TX
    Pune, India

    Phone: (484) 432 5768