DIGITAL ASSURANCE
Intelligent
Testing

Leverage AI/ML, Automation, and predictive analytics to optimize your entire testing and QA process

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Intelligent Testing
APEXON HAS 18+ YEARS OF SUCCESS IN DIGITAL TESTING. WE COMBINE OUR DEEP PROCESS AND TECHNOLOGY EXPERTISE WITH THE LATEST TOOLS, INTERNAL IP, AND AI/ML-BASED TECHNOLOGIES TO OPTIMIZE EVERY ASPECT OF YOUR TESTING LIFECYCLE

Intelligent Testing challenges
the challenge

THE NEED FOR SPEED CREATES NEW CHALLENGES FOR TESTING & QA

To meet the growing demands of digital, enterprises are increasingly adopting Agile and DevOps principles with the goal of getting the highest quality digital solutions to market faster and more efficiently. However, many testing and QA departments are not properly equipped to meet these new requirements with traditional testing techniques. They are challenged by:

  • Difficulty accessing and managing test data
  • Increasing test environment and test script maintenance costs
  • Time spent clarifying and communicating test requirements
  • Numerous application fixes
  • A lack of expertise with the latest technologies and tools to provide predictive insights.

Today’s hypercompetitive landscape requires intelligent testing techniques to keep pace with the increasing volume of new product releases while improving product quality, lowering costs, and accelerating time-to-value.

Intelligent Testing solutions
What we do

Optimize Digital Test/QA Cycles with the Latest Technologies and Tools

Apexon can improve your testing cycles from start to end with a comprehensive set of Intelligent Testing services and tools. These include:

  • Strategic guidance for setting proper and consistent quality goals and ensuring all customer-facing applications meet performance standards
  • Identification of key test cases
  • Identifying and implementing the right technologies and tools to support the on-time delivery of quality releases without vulnerabilities
  • Efficient and comprehensive test execution
  • Proven processes to advance problem-solving and test optimization from the start
  • Expertise to apply automation as broadly as possible
  • AI accelerators for rapid product delivery with enhanced coverage and quality confidence
  • Monitoring and measurement of test results with a traceability loop to enhance business initiatives
  • Efficient maintenance of the health of test cases
  • Ability to leverage test data analytics to refine testing processes constantly

Our Offering

END-TO-END Intelligent Testing Services

Apexon Intelligent Testing Services Overview

Intelligent Testing Services for travel
Test Case
Generation
  • MBT Creation
  • Pairwise testing BOTs
  • Exploratory testing

Intelligent Testing Services for travel
Coverage analysis for
risk management
  • End-to-end traceability
  • Functional point analysis
  • Risk prediction

Intelligent Testing for field services
Test automation
& execution
  • Automatic test environment setup
  • Intelligent dashboards
  • ML-based auto error bucketing

Intelligent Testing solutions for retail
Test Case
optimization
  • Componentizing and removing duplicates
  • Combinatorial analysis
  • Optimize for maintenance

Intelligent Testing Services for entertainment/sports
Defect identification
prediction
  • Detect anomalies
  • Detect prediction

Intelligent Testing Services for financial services
Testing infrastructure
optimization
  • Pattern recognition
  • Discover optimization capabilities

Intelligent Testing Services for financial services
Defect prevention
(prescription)
  • Model-Based Resource, Effort And Time Allocation
  • Learn From and Apply prescriptions

Intelligent Testing Services for financial services
Test data
management
  • Identity reusable test data
  • Organise test data for reuse and automation

THE OUTCOMES WE DELIVER

GET NEW DIGITAL INITIATIVES TO MARKET FASTER, WITH LESS RISK

Apexon Intelligent Testing services deliver important business advantages:

25-35% savings in testing cost
25-35% savings

In total effort required by redistributing testing costs and leveraging unused resources for innovations

20-40% greater operational efficiency
20-40% greater operational efficiency

By providing developers with a better understanding of what is critical to performance, functionality, and CX

30-40% increase in test optimization
30-40% increase in test optimization

Puts the latest and most needed features into customers’ hands more quickly; provides the ultimate CX

Our methodology

Hide
how we do it

Our process

A COMPREHENSIVE APPROACH TO INTELLIGENT QA & TESTING

Our Intelligent Testing services are designed to optimize every aspect of your testing lifecycle and deliver big business benefits from discovery all the way through maintenance.

Flexible, adaptable, and scalable testing solutions

Flexible, adaptable, and scalable test solutions for large and complex testing engagements focus on both reducing costs and improving productivity and quality

Superior product functionality, compliance

Superior product functionality, compliance, and user experiences by providing holistic test solutions

End-to-end product-quality testing

End-to-end product-quality testing in a multi-technology, multi-domain, multi-cloud platform environment

Agile and DevOps testing ecosystems

Agile and DevOps testing ecosystems by performing continuous testing and automated validation through the complete product lifecycle

Apexon Intelligent Testing leverages our Continuous Testing Optimization Process:
test coverage of the business Identification

Identification test coverage of the business requirements focusing on various test types

AI in Software Testing

Creation of the test artifacts using advanced AI / Bot-based solutions

intelligent test case management

Continuous testing platform foundation that involves test data management, test environment management, service virtualization

Execute and analyze test execution

Execute and analyze test execution with real-time dashboard providing quality KPIs and metrics

Continuous optimization of the testing process

Continuous optimization of the testing process using AI / ML based monitoring and predictive solutions

Intelligent Testing diagram

Download Intelligent Testing Fact Sheet to learn more

Key Partnerships

aws

Accelerate time-to-market and increase agility with Apexon’s comprehensive suite of AWS offerings. Industry-best standards and AWS-guided design patterns drive our AWS cloud solutions. In addition, we adhere to a disciplined continuous review process with experienced and talented AWS-Certified resources.

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Tricentis

Apexon & Tricentis combine market-leading continuous testing and automation capabilities with expert resources using the latest QE principles and best practices.

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qmetry

The Apexon – QMetry partnership can benefit any organization looking to accelerate its software test cycles and enhance the quality of its digital initiatives. We can you help identify the right environments in which to deploy QMetry, ensure seamless deployment and integration of the tools, and train and certify your users on it to make your Test/QA organization more self-sufficient with the tools.

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Why Apexon

In depth,
Hands-on experience

Strong QA background with 18+ years of experience

Ready to use
AI/ML Based accelerators

Apexon has designed and developed accelerators to bootstrap and bring intelligent and efficiency from the beginning

Agile team-oriented
Approach

Extended teams of well-versed QA engineers with skills in the latest testing and automation tools and frameworks provide 24/7 support around the globe

Proven processes
& methodologies

To advance problem-solving and test optimization from the first step; AI accelerators for rapid product delivery with enhanced coverage and quality confidence

Well-defined
strategies

Strategic guidance to set proper and consistent quality goals and ensure all customer-facing applications meet performance standards; Expertise identifying and implementing the right technologies (including Automation) and tools to support the on-time delivery of quality releases without vulnerabilities

INDUSTRY
RECOGNITION
Recognized by many of the leading analysts including:
NelsonHall

Leader in NelsonHall’s NEAT vendor evaluation for Next-Generation Software Testing Services

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Gartner

Midtier, Full or Subset IT Services Provider in Gartner Competitive Landscape : Mobile Application Testing Services

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Forrester

Representative Vendor in Forrester Vendor Landscape for Continuous Testing Services for Agile & DevOps Environments

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FAQ’s – Intelligent Testing

Intelligent testing in digital engineering refers to the strategic use of advanced technologies and methodologies to optimize the testing process. Unlike traditional testing methods, intelligent testing leverages AI, machine learning, and automation to analyze vast amounts of data, predict potential issues, and adapt testing scenarios dynamically. It’s about employing smart algorithms to intelligently design test cases, prioritize testing efforts, and identify critical areas for improvement, ultimately ensuring higher quality software products in an efficient manner.

Intelligent testing encompasses various techniques and tools aimed at enhancing the effectiveness and efficiency of the testing process. Examples include:

  • Predictive Analytics: Using historical data and machine learning algorithms to anticipate potential defects or performance bottlenecks before they occur.
  • Automated Test Generation: Generating test cases automatically based on specifications, code analysis, or user behavior patterns.
  • Self-Healing Tests: Implementing tests that can adapt to changes in the software environment and automatically update themselves to remain relevant.
  • Intelligent Test Orchestration: Dynamically orchestrating test suites based on risk factors, code changes, or business priorities to maximize test coverage and minimize testing time.
  • Cognitive Testing: Incorporating AI-powered bots to simulate user interactions and uncover usability issues or accessibility concerns.

Intelligent testing encompasses a range of methodologies tailored to different aspects of the testing lifecycle. Some common types include:

  • AI-driven Testing: Utilizing artificial intelligence and machine learning algorithms to analyze requirements, generate test cases, and predict defects.
  • Data-Driven Testing: Leveraging real-time data and analytics to guide testing efforts, identify test scenarios, and validate system behavior.
  • Model-Based Testing: Building abstract models of the system under test to automatically generate test cases, verify requirements, and detect inconsistencies.
  • Exploratory Testing: Encouraging testers to explore the software dynamically, leveraging their expertise and intuition to uncover hidden defects and usability issues.
  • Continuous Testing: Integrating testing into the continuous integration and delivery pipeline, enabling rapid feedback loops and early detection of defects.

Client Testimonials

Through our partnership with Apexon, we have been able to achieve many goals. One is to get our platform built with speed by helping our engineering teams and then we have also achieved our infrastructure goals of ISO certifications. Apexon team is helping us deploy the platform even faster from two or three times per week to five or six times a week.
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Mark Fleishman
VP of Infrastructure and Operations, Paige
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Their(Apexon) attention to detail and continued focus on CD Valet has kind of proved that we made the right decision and we have expanded from one team to multiple teams. We are surveying about 31,000 CD rates on a weekly basis and Apexon plays a very important part in that process.
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Yatin Pradhan
VP, Product Management, Seattle Bank
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nelson-hall
“Enterprises are looking to AI to exploit the wealth of data found in various levels of their IT organizations, whether at the software development level, or on the production side. With AI, they have an untapped opportunity to better identify where defects lie, increase the quality of applications, and ultimately improve the UX of end-users, customers, and other stakeholders.”
Dominique Raviart
IT Services Practice Director
life-scan
“Competitive pressures are driving enterprises to push new innovations faster to market. With increasing adoption of Agile and DevOps, traditional software testing processes are not able to scale. By deploying AI-powered BOTs for test automation, organizations can now focus more on delivering superior customer experiences rather than solving everyday testing challenges.”
Ed Hein
Manager, Digital Verification and Validation