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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

“Their experience and architecture skills were highly impressive and we we started talking, it was immediately obvious that they had a clear understanding of our needs”
Project Owner
“This was one of the smoothest projects I’ve seen in my career”
Startup CEO
“We were able to delegate almost all responsibility for the project to Attrava. They took care of everything from sprint planning to assigning work, peer reviews, implementation, and testing”
Business Owner
“We consider ourselves very lucky to have found Attrava. Their level of precision and ability to cover all angles is invaluable, and it’s reassuring to know that we’re ready for whatever happens next”
Chief Technology Officer
Attrava handled everything and drove the entire project. Getting the integrations right could have been a pain, but Attrava took the bull by the horns and added the AI module directly to our server.
Owner, Game Website
Attrava have been great to work with. They have a great technical understanding and there’s never been a question without an answer.
Business Executive
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Services

Let us tell you about our services

We have extensive experience in providing these services

Cloud Transformation

Move your workflows to the cloud and use cloud-native technologies to align your infrastructure with your business objectives.
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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
Automatically handle disaster recovery with a solution that fits your budget and meets your RPO and RTO objectives.
  • 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
Automatically handle disaster recovery with a solution that fits your budget and meets your RPO and RTO objectives.
  • 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

Develop a cutting-edge, cloud-native application to generate new revenue streams, improve your processes, or solve a business need.
Read More

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

Your data contains valuable insights. You need to build the data engineering to be able to store it, analyze it, and act on it to maximize its use.

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.
Show more Show less

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

rob0

Taking the next step in video game analytics with scalable, secure architecture

webDiplomacy

Webdiplomacy transforms online Diplomacy gaming with innovative AI bot

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