Innovation
Partner
Specialized in Cloud, Big Data, and Artificial Intelligence
Clear Milestones
Complex projects are broken down in simple and transparent milestones
Terrific Customer Experience
You have an assigned team that understands your business to improve communication
End-to-End Projects
We work with your team on delivering complete solutions and infrastructures
Focused on Results
We work relentlessly to deliver results and make sure you win every time
Testimonials
Don’t Believe Us Check What Our Clients Are Saying





Services
Let us tell you about our services
We have extensive experience in providing these services
Cloud Transformation

Cloud Adoption
Migrate existing applications to the cloud or use an hybrid-cloud model that connects with your existing
data center.
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Cloud Migration
Migrate your workloads to the cloud using a simple lift-and-shift approach
- Migration Planning
- Reliability and high-availability
- Application / Database Migration
- Migration as code
Application Modernization
Modernize your application to use some cloud-native features can often give you increased
agility as well as substantial cost savings
- Replatforming (lift-thinker-shift)
- Microservices architecture
- Refactoring / Re-architecting
- Containerization
Data Transfer
Migrating your mission-critical data can often be a challenge. We can help you move
your data through a hybrid cloud approach, online through a managed and fast solution,
or offline through specialized hardware
- Hybrid Cloud through Direct Connect
- AWS DataSync / S3 Transfer Acceleration
- Storage Gateway for local caching or cloud replication
- AWS Snowcone / Snowball
Cloud Architecture
Optimize your cloud workflows to use cloud-native services and processes to improve reliability,
performance, and cost.
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Infrastructure as code (IaC) deployments
Your infrastructure should be well thought-out and documented. All changes should be reviewed and approved before being deployed.
- Versioned infrastructure
- Minimal environment drif
- Approval workflow
- Automatic provisioning
Automated CI/CD pipelines
An automated test and deployment pipelines greatly reduces risk, allows for less manual effort, and speeds up delivery.
- Automation from the start
- Rigorous test plans
- Easier rollbacks
- Faster Mean Time to Resolution
Configuration management
Create a source of truth with a central location for all your configuration
- Baseline configuration
- Audit and accounting system
- Automate patches and updates
- Everything as code
Cloud Optimization
Optimize your cloud infrastructure by right-sizing instances, scaling as needed, and handling disaster
recovery scenarios.
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Business Continuity & Disaster Recovery
- Backup and restore
- Pilot light
- Warm stanby
- Hot standby with multi-site
Cost Optimization
Minimize the cost of your cloud infrastructure with optimized instances and appropriate cost
usage monitoring.
- Instance right-sizing
- Efficient data transfer
- Demand-based supply
- Appropriate pricing model
Cloud Monitoring
Properly observe your cloud infrastructure in real-time to optimize resource utilization, respond
to performance problems, or detect abnormal behaviours.
- Centralized logging
- Automated actions from logs
- Track user activities
- Detect incoming threats
Cloud Migration
Migrate your workloads to the cloud using a simple lift-and-shift approach
- Migration Planning
- Reliability and high-availability
- Application / Database Migration
- Migration as code
Application Modernization
Modernize your application to use some cloud-native features can often give you increased
agility as well as substantial cost savings
- Replatforming (lift-thinker-shift)
- Microservices architecture
- Refactoring / Re-architecting
- Containerization
Data Transfer
Migrating your mission-critical data can often be a challenge. We can help you move
your data through a hybrid cloud approach, online through a managed and fast solution,
or offline through specialized hardware
- Hybrid Cloud through Direct Connect
- AWS DataSync / S3 Transfer Acceleration
- Storage Gateway for local caching or cloud replication
- AWS Snowcone / Snowball
Cloud Native
Architect using cloud-native services for better developer productivity, business agility,
scalability, availability, utilization, and cost savings.
- Cloud Roadmap
- Serverless / Event-Driven
- Data, streaming, API, logging, DBaaS
- Scalable and resilient
DevOps
Shorten the flow from idea to deployment by automating your integration and deployment
pipelines, and by writing your infrastructure as code.
- CI/CD Pipelines
- Infrastructure as Code
- Monitoring and logging
- DevSecOps
Containerization
If a serverless architecture is not possible, then using containers is often the preferred option
for scalability, reliability, and resiliency.
- Container Orchestration
- Deployment without servers
- Container registry
- Balancing and failover
Business Continuity & Disaster Recovery
- Backup and restore
- Pilot light
- Warm stanby
- Hot standby with multi-site
Cost Optimization
Minimize the cost of your cloud infrastructure with optimized instances and appropriate cost
usage monitoring.
- Instance right-sizing
- Efficient data transfer
- Demand-based supply
- Appropriate pricing model
Cloud Monitoring
Properly observe your cloud infrastructure in real-time to optimize resource utilization, respond
to performance problems, or detect abnormal behaviours.
- Centralized logging
- Automated actions from logs
- Track user activities
- Detect incoming threats

Application Development
Product Engineering
We will work with your team in designing and building a complete cloud-native application.
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Cloud-Native First
A cloud-native application is our preferred choice to save cost, increase flexibility, and maximize
performance.
- Serverless
- Load-balancing
- Self-healing applications
- Flexible architecture
User-Centric Design
We work tirelessly with the end-user in mind to develop an application that users will love and
use.
- UX Design
- Functional Testing
- Quality Assurance
- User Experience Reviews
Sprint-Based & Agile
We use small sprints to deliver business value quickly, and to be able to adapt to evolving
business needs.
- Rapid prototyping
- Architectural integrity
- Early problem detection
- Improved predictability
DevOps
All our projects use devops from the beginning to shorten development cycle and to focus on innovation
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Infrastructure as code (IaC) deployments
Your infrastructure should be well thought-out and documented. All changes should be reviewed and approved before being deployed.
- Versioned infrastructure
- Minimal environment drif
- Approval workflow
- Automatic provisioning
Automated CI/CD pipelines
An automated test and deployment pipelines greatly reduces risk, allows for less manual effort, and speeds up delivery.
- Automation from the start
- Rigorous test plans
- Easier rollbacks
- Faster Mean Time to Resolution
Configuration management
Create a source of truth with a central location for all your configuration
- Baseline configuration
- Audit and accounting system
- Automate patches and updates
- Everything as code
Ongoing Maintenance
Even after an application is built, it must be continuously monitored to proactively prevent problems and
to sustain its growth.
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Performance Management
Designing a scalable architecture and load testing it should always be performed proactively to
know the limits of your application.
- Scalability and load-balancing
- Load testing
- Infrastructure optimization/
- Infrastructure optimization
Reliability and Uptime
Designing a centralized monitoring solution with alerts and automated processes is key to ensure the application is performing as expected.
- Application monitoring
- Self-healing components
- Status page for user notifications
- Business Continuity and Disaster Recovery
Well-Architected Reviews
Having a trusted partner review your application and infrastructure against best practices often
lead to new insights.
- Quarterly or Annual reviews
- Continuous improvement of processes
- Detailed monitoring for insights
- Cost optimization
Cloud-Native First
A cloud-native application is our preferred choice to save cost, increase flexibility, and maximize
performance.
- Serverless
- Load-balancing
- Self-healing applications
- Flexible architecture
User-Centric Design
We work tirelessly with the end-user in mind to develop an application that users will love and
use.
- UX Design
- Functional Testing
- Quality Assurance
- User Experience Reviews
Sprint-Based & Agile
We use small sprints to deliver business value quickly, and to be able to adapt to evolving
business needs.
- Rapid prototyping
- Architectural integrity
- Early problem detection
- Improved predictability
Infrastructure as code (IaC) deployments
Your infrastructure should be well thought-out and documented. All changes should be reviewed and approved before being deployed.
- Versioned infrastructure
- Minimal environment drif
- Approval workflow
- Automatic provisioning
Automated CI/CD pipelines
An automated test and deployment pipelines greatly reduces risk, allows for less manual effort, and speeds up delivery.
- Automation from the start
- Rigorous test plans
- Easier rollbacks
- Faster Mean Time to Resolution
Configuration management
Create a source of truth with a central location for all your configuration
- Baseline configuration
- Audit and accounting system
- Automate patches and updates
- Everything as code
Performance Management
Designing a scalable architecture and load testing it should always be performed proactively to
know the limits of your application.
- Scalability and load-balancing
- Load testing
- Infrastructure optimization/
- Infrastructure optimization
Reliability and Uptime
Designing a centralized monitoring solution with alerts and automated processes is key to ensure the application is performing as expected.
- Application monitoring
- Self-healing components
- Status page for user notifications
- Business Continuity and Disaster Recovery
Well-Architected Reviews
Having a trusted partner review your application and infrastructure against best practices often
lead to new insights.
- Quarterly or Annual reviews
- Continuous improvement of processes
- Detailed monitoring for insights
- Cost optimization
Data Analytics & AI

Data Engineering
Ingesting, analyzing, and acting on your data, in an autonomous fashion, is the way you are going to
get business value from the data you already have.
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Data Ingestion
Designing and implementing data ingestion pipelines to be able to analyze data in real-time or in batches is a key component to be able to extract insights.
- Data Warehouse
- Data Lakes
- Event Messaging
- Throughput and Latency
Data Processing
Depending where your data is stored and how it is structured, you will need a lot of parallel processing to be able to extract valuable insights from it
- Map-Reduce
- Real-Time Analytics
- Online analytical processing
- Large-scale and distributed
MLOps
Develop ML workflows to train your models, scale them automatically for inference, and then monitor any drift or performance degradation.
- Parallelization for training
- Model Serving for inference
- Model registry
- Model governance
Data Insights
Use your data as a tool to innovate and to better understand your customers and your processes, then make it actionable and automate it.
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Predictive Analytics
By modeling your data, you can train a model that will predict the expected outcomes, and use that prediction to make informed decisions.
- Supervised learning
- Deep Learning
- Data labeling
- Operational efficiency
Text Analytics and NLP
From translating text, to analyzing sentiment, to writing documents, large neural networks are very versatile at natural language processing.
- Deep learning
- Semantic parsing
- Text generation
- Chatbots
Anomaly and Pattern Detection
Even if labels are not present, AI can detect when your data is abnormal and outside its usualdistribution.
- Unsupervised learning
- Data pre-processing
- Fraud detection
- Defect detections
Data Visualization
Use your data as a tool to innovate and to better understand your customers and your processes, then make it actionable and automate it.
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Real-Time Dashboards
A real-time dashboard is a great tool for your entire organization to have a coherent and combined view of your data.
- KPI monitoring
- Mobile apps
- Business intelligence
- Report generation
Statistical Modeling
Data often comes unstructured and without labels. Statistical models can be used to build data models that can be used to generate insights.
- Data modelization
- Statistical inference
- Model comparison
- Likelihood estimation
Exploratory Analysis
Even if you are not sure what data you have, or how to analyze it, we can help you aggregate it and make sense of it.
- Structured and unstructured data analysis
- Data identification
- Data pipeline design
- Data science
Data Ingestion
Designing and implementing data ingestion pipelines to be able to analyze data in real-time or in batches is a key component to be able to extract insights.
- Data Warehouse
- Data Lakes
- Event Messaging
- Throughput and Latency
Data Processing
Depending where your data is stored and how it is structured, you will need a lot of parallel processing to be able to extract valuable insights from it
- Map-Reduce
- Real-Time Analytics
- Online analytical processing
- Large-scale and distributed
MLOps
Develop ML workflows to train your models, scale them automatically for inference, and then monitor any drift or performance degradation.
- Parallelization for training
- Model Serving for inference
- Model registry
- Model governance
Predictive Analytics
By modeling your data, you can train a model that will predict the expected outcomes, and use that prediction to make informed decisions.
- Supervised learning
- Deep Learning
- Data labeling
- Operational efficiency
Text Analytics and NLP
From translating text, to analyzing sentiment, to writing documents, large neural networks are very versatile at natural language processing.
- Deep learning
- Semantic parsing
- Text generation
- Chatbots
Anomaly and Pattern Detection
Even if labels are not present, AI can detect when your data is abnormal and outside its usualdistribution.
- Unsupervised learning
- Data pre-processing
- Fraud detection
- Defect detections
Real-Time Dashboards
A real-time dashboard is a great tool for your entire organization to have a coherent and combined view of your data.
- KPI monitoring
- Mobile apps
- Business intelligence
- Report generation
Statistical Modeling
Data often comes unstructured and without labels. Statistical models can be used to build data models that can be used to generate insights.
- Data modelization
- Statistical inference
- Model comparison
- Likelihood estimation
Exploratory Analysis
Even if you are not sure what data you have, or how to analyze it, we can help you aggregate it and make sense of it.
- Structured and unstructured data analysis
- Data identification
- Data pipeline design
- Data science
Case Studies
Look what case studies we are providing

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