Application Modernization Services
Moving Your Legacy to the Future
With 33 years in software development and hands-on experience in 30+ industries, ScienceSoft transforms legacy apps into future-proof solutions with minimal disruption to business processes.
Application modernization services are aimed to reduce the operational costs of legacy apps, improve their features, performance, and security, and ensure that the upgraded solutions stay scalable and easy to maintain in the long run. Adherent to mature software modernization and risk management practices, ScienceSoft offers end-to-end app modernization services to help businesses drive new value from their legacy solutions.
Components We Modernize
App infrastructure
App architectures and tech stack
App integrations
App UI/UX
Types of Apps We Modernize
Software type
- Web, mobile and desktop app modernization
- Enterprise application modernization (ERP, CRM, BPA, HCM, SCM, PPM, BI, data warehouses) & SaaS modernization.
- IoT, big data applications, blockchain, AI/ML modernization
Platforms
- Dynamics 365
- Salesforce
- Magento
- SharePoint
- ServiceNow and other platforms
Installed on
- Cloud-based, on-premise and hybrid servers.
- Computers, laptops, mobile devices and wearables.
Application modernization consulting
We thoroughly investigate your legacy application code and infrastructure, mine requirements and provide detailed guidance on the improvements that can help you to derive max value from previous investments.
Legacy app migration to cloud
Depending on the application and business needs, ScienceSoft offers one of the three ways to the cloud – application re-hosting, application re-platforming or application rearchitecting.
Application reengineering
With a wide pool of legacy application modernization skills, we can help you restore and slightly modify code and design of your long-running enterprise applications.
Application recoding (automated and customized)
We revive your applications created on the basis of legacy languages and platforms (such as PowerBuilder, Delphi, VB, C++, COBOL) or aging technologies (outdated Java and .NET versions) with the use of modern programming languages, frameworks and databases.
Application containerization
Across all modernization options, we can pack your apps or their parts into packages isolated from each other at the OS level.
- 33 years in software development, 10 years in cloud migration.
- 450+ developers, 50% are seniors/leads with 9-20 years of experience.
- Expert proficiency in app modernization and different migration approaches (rehosting, replatforming, re-architecting, refactoring, and more).
- Experience in 30+ industries, including healthcare, BFSI, manufacturing, retail, logistics, oil & gas, and telecoms.
- Partnerships with Microsoft, AWS, Oracle, IBM, and other global tech leaders.
- Well-established Agile and DevOps cultures, transparent KPIs, mature risk management practices.
- Hands-on knowledge of HIPAA, HITECH, PCI DSS/SSF, GDPR, and other field- and region-specific regulations to ensure full software compliance.
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Quality-first approach based on a mature ISO 9001-certified quality management system.
- ISO 27001-certified security management based on comprehensive policies and processes, advanced security technology, and skilled professionals.
- For the second straight year, ScienceSoft USA Corporation is listed among The Americas’ Fastest-Growing Companies by the Financial Times.
Advanced Technologies We Are Ready to Implement
The Financial Times Includes ScienceSoft USA Corporation in the List of the Americas’ Fastest-Growing Companies 2023
For the second year in a row, ScienceSoft USA Corporation ranks among 500 American companies with the highest revenue growth. This achievement is the result of our unfailing commitment to provide high-quality IT services and create best-value solutions that meet and even exceed our clients’ expectations.
The total cost of application modernization can range from $10,000–$15,000 for a UI upgrade or rehosting of a small app to $50,000–$250,000 for a substantial modernization of a medium/large app. If extensive re-engineering, deep recoding, or implementation of advanced techs (e.g., big data, AI/ML) is required, the cost may reach $500,000+ for a large application.
Among the key cost factors that influence the price of app modernization are:
- The complexity of applications and their dependencies.
- The volume of data to transfer.
- The life span of the application and its cloud migration readiness; the scope of infrastructure, code and configuration changes required.
- The extent of modernization automation and the cost of the relevant software licenses (e.g., code conversion tools).
- The required testing efforts.
Our Technological Expertise
With 700+ experienced IT professionals on board, ScienceSoft is ready to modernize your app using the following techs:
Back-end programming languages
Practice
19 years
Projects
200+
Workforce
60+
Our .NET developers can build sustainable and high-performing apps up to 2x faster due to outstanding .NET proficiency and high productivity.
Practice
25 years
Projects
110+
Workforce
40+
ScienceSoft's Java developers build secure, resilient and efficient cloud-native and cloud-only software of any complexity and successfully modernize legacy software solutions.
Practice
10 years
Projects
50+
Workforce
30
ScienceSoft's Python developers and data scientists excel at building general-purpose Python apps, big data and IoT platforms, AI and ML-based apps, and BI solutions.
Practice
10 years
Workforce
100
ScienceSoft delivers cloud-native, real-time web and mobile apps, web servers, and custom APIs ~1.5–2x faster than other software developers.
Practice
16 years
Projects
170
Workforce
55
ScienceSoft's PHP developers helped to build Viber. Their recent projects: an IoT fleet management solution used by 2,000+ corporate clients and an award-winning remote patient monitoring solution.
Practice
4 years
ScienceSoft's developers use Go to build robust cloud-native, microservices-based applications that leverage advanced techs — IoT, big data, AI, ML, blockchain.
Front-end programming languages
Languages
Practice
21 years
Projects
2,200+
Workforce
50+
ScienceSoft uses JavaScript’s versatile ecosystem of frameworks to create dynamic and interactive user experience in web and mobile apps.
JavaScript frameworks
Practice
13 years
Workforce
100+
ScienceSoft leverages code reusability Angular is notable for to create large-scale apps. We chose Angular for a banking app with 3M+ users.
Workforce
80+
ScienceSoft achieves 20–50% faster React development and 50–90% fewer front-end performance issues due to smart implementation of reusable components and strict adherence to coding best practices.
ScienceSoft uses Meteor for rapid full-stack development of web, mobile and desktop apps.
By using a lightweight Vue framework, ScienceSoft creates high-performant apps with real-time rendering.
With Next.js, ScienceSoft creates SEO-friendly apps and achieves the fastest performance for apps with decoupled architecture.
When working with Ember.js, ScienceSoft creates reusable components to speed up development and avoid code redundancy.
Mobile
Practice
16 years
Projects
150+
Workforce
50+
ScienceSoft’s achieves 20–50% cost reduction for iOS projects due to excellent self-management and Agile skills of the team. The quality is never compromised — our iOS apps are highly rated.
Practice
14 years
Projects
200+
Workforce
50+
There are award-winning Android apps in ScienceSoft’s portfolio. Among the most prominent projects is the 5-year-long development of Viber, a messaging and VoIP app for 1.8B users.
Practice
11 years
Projects
85+
Workforce
10+
ScienceSoft cuts the cost of mobile projects twice by building functional and user-friendly cross-platform apps with Xamarin.
ScienceSoft uses Cordova to create cross-platform apps and avoid high project costs that may come with native mobile development.
ScienceSoft takes the best from native mobile and web apps and creates the ultimate user experience in PWA.
Practice
8 years
Projects
300+
ScienceSoft reduces up to 50% of project costs and time by creating cross-platform apps that run smoothly on web, Android and iOS.
ScienceSoft will save you from double or even triple expenses associated with platform-specific coding by creating cross-platform apps in Flutter.
With Ionic, ScienceSoft creates a single app codebase for web and mobile platforms and thus expands the audience of created apps to billions of users at the best cost.
ScienceSoft leverages the inherent conciseness of Swift and creates lightweight iOS apps that are easy to maintain.
With Kotlin, ScienceSoft can create 20–50% shorter code for Android apps and ensure fast app development and cost-effective code maintenance.
Desktop
Practice
34 years
Workforce
40
ScienceSoft's C++ developers created the desktop version of Viber and an award-winning imaging application for a global leader in image processing.
Practice
4 years
Workforce
40
We used Qt to deliver a cross-platform desktop app for a global leader in image processing, a desktop version of Viber, VoIP messenger with over 1 billion users, and an anti-procrastination app acknowledged by The Daily Telegraph and BBC.
Practice
19 years
Projects
200+
Workforce
60
Our C# developers created the world’s largest PLM software. Their recent projects: development of SaaS for vCIO services management and underwriting software for a global aviation insurer.
Practice
15 years
Workforce
~40
We have delivered WPF-based solutions for a leading market research company and a global leader in image processing.
We use Objective-C to implement native macOS features in desktop apps.
Practice
10 years
Workforce
30
We use Python for rapid development of cross-platform desktop apps.
Databases / data storages
SQL
Our Microsoft SQL Server-based projects include a BI solution for 200 healthcare centers, the world’s largest PLM software, and an automated underwriting system for the global commercial insurance carrier.
We’ve implemented MySQL for Viber, an instant messenger with 1B+ users, and an award-winning remote patient monitoring software.
Azure SQL Database is great for handling large volumes of data and varying database traffic: it easily scales up and down without any downtime or disruption to the applications. It also offers automatic backups and point-in-time recoveries to protect databases from accidental corruption or deletion.
ScienceSoft's team has implemented Oracle for software products used by GSK and AstraZeneca. We’ve also delivered Oracle-based SCM platform for Auchan, a retail chain with 1,700 stores.
ScienceSoft has used PostgreSQL in an IoT fleet management solution that supports 2,000+ customers with 26,500+ IoT devices. We’ve also helped a fintech startup promptly launch a top-flight BNPL product based on PostgreSQL.
NoSQL
Our Apache Cassandra consultants helped a leading Internet of Vehicles company enhance their big data solution that analyzes IoT data from 600,000 vehicles.
ScienceSoft has helped one of the top market research companies migrate its big data solution for advertising channel analysis to Apache Hive. Together with other improvements, this led tо 100x faster data processing.
We use HBase if your database should scale to billions of rows and millions of columns while maintaining constant write and read performance.
With ScienceSoft’s managed IT support for Apache NiFi, an American biotechnology corporation got 10x faster big data processing, and its software stability increased from 50% to 99%.
ScienceSoft used MongoDB-based warehouse for an IoT solution that processed 30K+ events/per second from 1M devices. We’ve also delivered MongoDB-based operations management software for a pharma manufacturer.
Cloud databases, warehouses and storage
AWS
We use Amazon Redshift to build cost-effective data warehouses that easily handle complex queries and large amounts of data.
We use Amazon DynamoDB as a NoSQL database service for solutions that require low latency, high scalability and always available data.
Azure
We leverage Azure Cosmos DB to implement a multi-model, globally distributed, elastic NoSQL database on the cloud. Our team used Cosmos DB in a connected car solution for one of the world’s technology leaders.
Azure SQL Database is great for handling large volumes of data and varying database traffic: it easily scales up and down without any downtime or disruption to the applications. It also offers automatic backups and point-in-time recoveries to protect databases from accidental corruption or deletion.
Google Cloud Platform
We use Google Cloud Datastore to set up a highly scalable and cost-effective solution for storing and managing NoSQL data structures. This database can be easily integrated with other Google Cloud services (BigQuery, Kubernetes, and many more).
Big data
By request of a leading market research company, we have built a Hadoop-based big data solution for monitoring and analyzing advertising channels in 10+ countries.
A large US-based jewelry manufacturer and retailer relies on ETL pipelines built by ScienceSoft’s Spark developers.
Our Apache Cassandra consultants helped a leading Internet of Vehicles company enhance their big data solution that analyzes IoT data from 600,000 vehicles.
We use Kafka for handling big data streams. In our IoT pet tracking solution, Kafka processes 30,000+ events per second from 1 million devices.
ScienceSoft has helped one of the top market research companies migrate its big data solution for advertising channel analysis to Apache Hive. Together with other improvements, this led tо 100x faster data processing.
We leverage Apache ZooKeeper to coordinate services in large-scale distributed systems and avoid server crashes, performance and partitioning issues.
We use HBase if your database should scale to billions of rows and millions of columns while maintaining constant write and read performance.
We leverage Azure Cosmos DB to implement a multi-model, globally distributed, elastic NoSQL database on the cloud. Our team used Cosmos DB in a connected car solution for one of the world’s technology leaders.
We use Amazon Redshift to build cost-effective data warehouses that easily handle complex queries and large amounts of data.
We use Amazon DynamoDB as a NoSQL database service for solutions that require low latency, high scalability and always available data.
ScienceSoft used MongoDB-based warehouse for an IoT solution that processed 30K+ events/per second from 1M devices. We’ve also delivered MongoDB-based operations management software for a pharma manufacturer.
We use Google Cloud Datastore to set up a highly scalable and cost-effective solution for storing and managing NoSQL data structures. This database can be easily integrated with other Google Cloud services (BigQuery, Kubernetes, and many more).
Platforms
Practice
14 years
Projects
25+
Workforce
10+
A certified Microsoft partner, ScienceSoft creates CRM and ERP solutions powered by Dynamics 365 and optimizes most effectively a range of business operations.
Projects
10+
ScienceSoft achieves at least 20% increase in sales and 30% improvement in case resolution with well-thought-out and business-tailored Salesforce solutions.
Practice
11 years
Projects
20+
Workforce
10+
A certified Adobe Solution Partner, ScienceSoft builds on robust functionality of Adobe Commerce to create highly automated and scalable ecommerce solutions.
Practice
15 years
Projects
100+
Workforce
20+
Solid expertise in SharePoint services has earned ScienceSoft a place in Clutch’s list of Top SharePoint Developers in 2023.
Practice
12 years
A certified ServiceNow partner, ScienceSoft offers a proprietary 4-level implementation model that helps deliver the best value from ServiceNow adoption.
Practice
7 years
ScienceSoft sets up Power BI to process data from any source and report on data findings in a user-friendly format.
SAP products are powerful and intricate. ScienceSoft will help you understand and realize the full value they can offer to your business.
DevOps
Containerization
Automation
CI/CD tools
Monitoring
Application Modernization Benefits
The businesses that entrusted their app modernization projects to ScienceSoft enjoy:
Better user experience
due to upgraded UX/UI design, improved app performance, and new highly requested features.
State-of-the art security
due to introducing secure software design and coding best practices, expert security testing, and built-in regulatory compliance.
Lower maintenance costs
due to the reduced IT support team workload and wide cloud optimization opportunities.
Streamlined business processes and improved employee productivity
due to workflow automation and implementation of advanced techs.
Increased app availability & scalability
due to optimized software design and infinite cloud resources (for cloud migration).
Ease of further app evolution
due to the clear software documentation, flexible architecture (e.g., SOA/microservices-based), and reusable code.
For cloud application migrations
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When businesses come to us for legacy app modernization, we often recommend them to consider cloud migration as a part of the project. At this point, moving to the cloud is virtually always the most rational thing to do: you reduce the operational costs by up to 60%, achieve 99.9% app availability, and gain access to the cloud-dependent techs such as AI automation and data science. To make cloud migration fast and secure, ScienceSoft’s team divides legacy software into manageable parts and ensures gradual transition from one stable state to the next one. We also offer our clients to start off with a pilot migration: it helps assess the viability of the chosen migration approach and make the required tweaks cost-efficiently and risk-free.
All Application Services
Services
Database Software
Web Development
Application Integration
Maintenance and Support
Mobile Development
Web Design
Application Migration