Get a team that delivers fully
Deliver complete solutions in these areas, even when in-house teams are stretched:
End-to-end delivery
Turn your vision into value and get a team of experts to manage and deliver your projects
Technology partners
Data analytics, AI/ML and automation
Cloud transformation, evaluation and migration
Digitalised management and operational systems
Scala ecosystem
Technology management and optimisation
Modern architecture and infrastructure
Frontend and backend solutions
Legacy modernisation
How end-to-end delivery works
Keep your focus and retain oversight while we build your business solutions.
Plan
1
Create an action plan based on your goals
Monitor
2
Keep you consistently informed from design to deployment
Streamline
3
Handle support and maintenance while you focus on your business
Optimise
4
The right skills, efficient use of time and a singular focus on delivering results
Access VirtusLab's synergy of advanced technology and deep expertise
Team composition fits your needs exactly
- Order complete, precisely integrated custom software solutions
- Be confident in the team’s cohesive dynamic for each delivery
- Improve the efficiency of your company’s critical processes
Singular focus on delivery & added value
- Achieve quick turnaround times due to fluid team coordination
- Allow the product manager to add value to your solution
- Get an agile team with best-of-breed technologies and working methods
Streamlined relations
- Deal with a single partner from design to deployment
- Have a team that is accountable and takes ownership
- Simplified communication and transparent progress reporting
Delegate management and keep oversight
- Frees you to focus on your core competencies
- Deploy your in-house people where they are needed most
- Monitor progress and give business-specific direction as needed
Success stories
1
Implemented projects immediately
2
Generated forecasts utilizing individual ML and statistical models
3
Transformed the legacy framework into an efficient Databricks environment
Data engineering
Migrating and generalising a forecasting framework from Hadoop to Azure Databricks
1
Decreased the time required to create a single instance from 60 to 22 seconds
2
Created an immediate response of cluster scaling to traffic surges
3
Catered multiple stakeholder at once
Cloud engineering
Increased efficiency of Kubernetes scaling
1
Reduced ongoing infrastructure maintenance by 80%
2
Ensured tight collaboration between security and platform teams
3
Improved time to production from months to days
digital transformation
