How we work
We combine the industry’s best service delivery standards with unprecedented solution personalization practices.
Data & AI
Data services
Avenga’s data services enable companies to harness the power of data, analytics, and AI. Let us help you become a truly insight-driven organization.
40 %
Increase in business productivity can be achieved after AI adoption
94 %
Businesses use cloud computing to fuel digital transformation
64 %
High-performers run AI workloads either on hybrid or public clouds
Step 1
Write to us or book a meeting
We will respond within two hours and arrange a meeting with you at your earliest convenience.
1 working day
Step 2
Meet with our representative
An expert matching your market niche and industry will get in touch to discuss your requests and determine the next steps.
up to 7 working days
Step 3
Receive an offer
You will get a service suite offering, including time and cost estimates, for each of your project’s stages.
7+ working days
Step 4
Sign the contract
We start delivering the results while keeping you updated on the progress.
Choosing Avenga entails
1
Certified experts
Accredited business and tech development experts that ensure a business-focused approach.
2
Quick implementation
Velocity equally accompanied by quality is what our Agile approach boils down to.
3
Technology agnostic
A tech stack wide and expansive enough to erase the limits of flexibility during any project.
4
Compliance
Regardless of the industry, we build software that does not react to, but prevents cyber security and legal issues.
5
Adaptability
Avenga builds products with technologies that adapt to the client’s requirements, not vice versa.
Services
Ivan Kohut
Chief Technology Officer
Our strategic services are meant for those looking to reinvent their approach toward making technology benefit their business.
Pavlo Domanskyy
SVP of Global Engineering
Avenga specializes in bringing incredible business ideas to life with the help of custom solution engineering services.
Andrii Stashko-Ziablietsov
Director of Technology Consulting
Focus on your core busincess while Avenga takes comprehensive care of your system.
Paulina Stochel
Business Unit Director
Delivered on the client’s terms and conditions, we provide staffing services that make a difference.
Industries
Avenga is a global technology partner for pharma and life sciences companies looking to gain or retain a competitive advantage by redefining the meaning of high-quality products and services.
$ 2.55 bln
Expected life sciences software market growth by 2025
78 %
Global pharma companies chase digital transformation
We harness technology in the insurance industry. Avenga uses a strategic framework to ensure long-term value for our clients.
60 %
Insurance back-office operations can be automated
50 %
Next-generation customers require omnichannel in-app experience
Digital solutions serving financial, banking, insurance, wealth management, and fintech institutions must meet the fast-changing industry’s needs by offering their clients velocity, security, adaptability, and innovativeness.
$ 40.6 bln
Predicted banking software market by 2029
58 %
Enterprises using cloud financial solutions
Amid the automotive industry’s vibrant transformation into a technology-driven set of markets, Avenga offers its clients unconditional support in their digital endeavors.
620 bln
Predicted OEMs’ software-based revenue by 2031
8.1 %
Forecasted CAGR for vehicle embedded software by 2026
Data validation testing
Explore different techniques and approaches within the realm of data validation testing, and find out what benefits database validation brings.
Business intelligence and data visualization
Data without digital transformation doesn’t make sense. Data visualization tools present information in a comprehensible and transparent way.
Migration and Data Validation Testing
Migrating data is not simply transferring information from one storage to another. It is the complex work of a QA team and it requires skill, expertise, tools, and resources.
Good practices GxP: How pharma can secure data integrity
Data integrity is an important building block of modern medicine. In this article, we show Good Practices (GxP) that secure data integrity in pharma.
Get 100% Code Coverage for Salesforce Custom Metadata Based Decisions
This article provides an example of writing unit tests for code which uses Salesforce Custom Metadata for strategy-like decision implementation.
It’s all about Quality: Migration and Data Validation Testing
Let’s go through the customary steps that should be elicited during Data Validation testing within the data migration process.
Reviews
Michael Buzzell
Co-Owner and CEO, NBTV
Platform Development for Media Company
“Avenga's (formerly Core Value Inc's) willingness to make sure that we are collectively successful stands out.”The efforts of Avenga (formerly Core Value Inc) made the simultaneous development of multiple versions of the platform possible. Their team goes above and beyond to improve themselves, ...
Roberto Arnetoli
CTO, Fairfield Marketplace
Development for a Financial Services Company
"Having a single vendor that flexibly offers resources to meet our requirements is incredibly valuable." The platform is still underway, but Avenga's (formerly Perfectial’s) work has met all requirements so far, satisfying the client. The team is a reliable producer of top-notch development at rea...
Something’s unclear?
Frequently Asked Questions
As an experienced data services company, we employ experts who specialize in every aspect/phase of the data and AI management lifecycle. Our data analysts, data engineers, and data scientists will cover every data-related need your company might have.
Properly built and maintained AI and Machine Learning algorithms can help you identify trends in data that your organization wouldn't be able to spot otherwise. Avenga's data services enable you to boost efficiencies, and deliver highly personalized products and services to clients, which will contribute a lot towards creating a strong competitive advantage.
Having a strong foundation is key. Companies should only try to adopt AI once they have a sufficient number of automated processes and a critical mass of structured analytics. Otherwise, they might end up dealing with colossal cloud computational clusters and confusing overengineered black-box systems that bring very little value to the business.
Yes, we have plenty of experience with various Machine Learning tools. However, they will be of little use to any company trying to plug multi-format dirty data into them. So, before using such platforms, we always help organizations set up proper ETL/ELT, and then organize and clean their data.
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