Cloud Migration

We can help your business plan, execute, and manage the transition of its IT resources, applications, and data from on-prem or legacy systems to a cost-optimizing cloud environment.

What we do:

• Create a comprehensive migration strategies that align with your goals and budget.
• Help you select the right cloud provider and solutions to ensure you get the most value for your investment.
• Design the right cloud architecture for your specific requirements, optimizing performance, security, and cost.
• Identify potential challenges and risks in advance to minimize disruptions and avoid costly mistakes during the migration process.
• Recommend best practices, tools, and methodologies to streamline the migration process, reducing time, effort, and costs.
• Provide training and guidance to your team, helping them become proficient in managing and maintaining the new cloud environment.
• Provide ongoing support and maintenance post-migration to ensure your cloud environment is performing at its best.

Data Analytics

Organize, store, protect, and maintain your data. Use it to improve decision-making, operations, and customer engagement. Gain insights into customer needs and market trends. Use that to improve your products and services.

Turn your data into a well-orchestrated masterpiece. Our seamless data harmonization and validation services ensure your data is integrated seamlessly into Google Cloud, with customized rules and validation processes for accuracy and effectiveness.

What we do

• Build architecture for modern data platforms using Data Mesh, Lambda, and Kappa architecture
• Create enterprise-grade data infrastructure for batch and real-time data processing
• Define processes for data lakes, data warehouses, data governance, and ETL tooling
• Design proprietary tooling for data testing and test data generation
• Set up event-driven data pipelines to respond to events through a distributed platform
• Create a rules engine to apply configurable business rules on the inbound data to maintain quality
• Set up data ingestion services for real-time data streaming
• Crunch huge volumes of complex structured and unstructured data with Spark based batch processing

Google Cloud Expertise

• BigQuery
• Dataproc
• Cloud Composer
• Cloud Storage
• Pub/Sub
• Looker & Looker Studio

Machine Learning

We implement powerful algorithms that deliver insight into your customers and your business. Our recommendation engine offers intelligent, real-time insights and predictions to help you make better decisions in a volatile and ambiguous world.

What we do:

• Power your data science teams with serverless MLOps, workbenches/pipelines to explore, build, test, train, and give application users insights in real time.
• Unblock data scientists from the challenges of discovering, identifying, and securely ingesting data from data swamps
• Provide powerful and collaborative compute (MPP and GPUs) platforms on cloud rather than local machines
• Integrate with third-party ML algorithms, open-source data science models, and cloud-based data analytics solutions for advanced use cases of text-extractions, optical and audio conversions, named-entity-recognition, and deep learning LLM models
• Iterate faster with feature engineering, hyperparameter optimization, and online retraining capabilities

Infrastructure & Devops

Keep pace with rapidly changing customers and technologies. Ensure your systems can handle increasing demands and complexity. Improve safety, reduce operational costs, and enhance your customer experience.

Cloud technology is the foundation of scalable, resilient business. It protects against disruption, minimizing time-to-market and operational costs.

We give you the ultimate springboard to surpass your competition and reach new heights. Our experience in launching cloud-native unicorns has given us insight into cutting-edge technologies, enabling us to modernize your business through our innovative cloud and data blueprint.

What we do:

• Immutable infrastructure with Google Cloud
• Terraform to seamlessly launch cloud services
• Kubernetes clusters for high availability and auto-scaling
• Event-driven architecture using Google Cloud-native Pub/Sub services
• Monitoring, alerting, and observability stack for application services using Elastic Stack, Splunk, Influx
• Continuous integration and deployment pipelines via serverless CI/CD services