What problems does AIOps solve?

AIOps solutions are technologies that analyze operational data using machine learning. They are used to reduce alert noise, detect anomalies earlier, and automate routine responses. Businesses apply AIOps to prevent outages, accelerate troubleshooting, and maintain stable IT operations.

What are the key benefits of AIOps solutions?

AIOps solutions are AI-driven platforms designed to optimize IT operations. They are used to improve system uptime, speed up root cause analysis, and automate incident handling. Businesses apply them to reduce manual workload and enable more proactive infrastructure management.

How is AIOps different from traditional IT monitoring tools?

AIOps platforms are monitoring systems enhanced with machine learning and data analytics. They are used to identify patterns, predict potential failures, and automate responses. Businesses apply them to move from reactive monitoring to predictive and automated IT operations.

What are the challenges of implementing AIOps?

AIOps implementation is the process of introducing AI-driven monitoring and automation into IT environments. It is used to process operational data from multiple systems. Businesses apply structured implementation strategies to overcome challenges such as data integration, model training, and process adaptation.

AIOps Services and Solutions

AIOps services use artificial intelligence to analyze IT operations and detect issues automatically. They suit companies managing complex infrastructures and large data flows. Businesses gain faster incident response and improved system reliability. Elinext delivers tailored AIOps solutions with transparent implementation.

Talk to Expert Presentation

Years in industry

AIOps projects

In-house AIOps developers

Of Middle & Senior Specialists

Talk to Expert Presentation

Get Comprehensive AIOps
Services We Offer

Modern IT environments generate massive volumes of operational data that are difficult to monitor manually. Elinext AIOps company designs and implements AIOps services that analyze system behavior, automate operations, and improve visibility across infrastructure. Businesses gain faster incident response, reduced downtime, and IT teams that focus more on strategy than troubleshooting.

AIOps Consulting Services

AIOps consulting focuses on identifying where AI-driven operations can bring measurable improvements. Our experts assess your infrastructure, monitoring tools, and data sources to define a practical implementation roadmap. Businesses gain a clear strategy for reducing alert noise, improving observability, and introducing automation gradually.

AIOps Implementation Services

This service involves integrating AIOps tools into existing infrastructure and operational workflows. We configure data pipelines, connect monitoring platforms, and deploy machine learning models. The outcome is a unified operational environment with automated insights and consistent system performance.

Real-time Monitoring Services

Real-time monitoring powered by AI continuously analyzes infrastructure metrics, logs, and system behavior. Instead of relying on static thresholds, the system detects unusual patterns as they appear. This allows teams to address performance issues before they impact users.

Automated Incident Response

Automated incident response systems classify alerts, prioritize incidents, and trigger predefined actions. By removing repetitive manual work, organizations shorten resolution times and maintain better SLA compliance during operational disruptions.

Automated Event Correlation

Event correlation technology connects signals coming from multiple monitoring tools and infrastructure layers. Machine learning filters unrelated alerts and links relevant events together. As a result, teams focus on real problems rather than sorting through thousands of notifications.

Anomaly Detection Services

Anomaly detection models analyze operational data and identify behavior that deviates from normal patterns. These models allow organizations to discover system issues, performance drops, or suspicious activity earlier than traditional monitoring tools.

Root Cause Analysis Services

Root cause analysis uses AI to trace incidents through complex distributed systems. By analyzing dependencies between services, the platform identifies the origin of failures faster. This reduces investigation time and prevents repeated disruptions.

Automated Remediation Services

Automated remediation applies predefined scripts and machine learning recommendations to resolve common infrastructure issues instantly. This approach minimizes manual intervention and significantly accelerates system recovery.

Security Monitoring Services

AI-driven security monitoring analyzes logs, network activity, and infrastructure events to identify potential threats. Organizations gain faster detection of suspicious behavior and stronger protection for critical systems and data.

AIOps Consulting Services

AIOps consulting focuses on identifying where AI-driven operations can bring measurable improvements. Our experts assess your infrastructure, monitoring tools, and data sources to define a practical implementation roadmap. Businesses gain a clear strategy for reducing alert noise, improving observability, and introducing automation gradually.
AIOps Implementation Services

This service involves integrating AIOps tools into existing infrastructure and operational workflows. We configure data pipelines, connect monitoring platforms, and deploy machine learning models. The outcome is a unified operational environment with automated insights and consistent system performance.
Real-time Monitoring Services

Real-time monitoring powered by AI continuously analyzes infrastructure metrics, logs, and system behavior. Instead of relying on static thresholds, the system detects unusual patterns as they appear. This allows teams to address performance issues before they impact users.
Automated Incident Response

Automated incident response systems classify alerts, prioritize incidents, and trigger predefined actions. By removing repetitive manual work, organizations shorten resolution times and maintain better SLA compliance during operational disruptions.
Automated Event Correlation

Event correlation technology connects signals coming from multiple monitoring tools and infrastructure layers. Machine learning filters unrelated alerts and links relevant events together. As a result, teams focus on real problems rather than sorting through thousands of notifications.
Anomaly Detection Services

Anomaly detection models analyze operational data and identify behavior that deviates from normal patterns. These models allow organizations to discover system issues, performance drops, or suspicious activity earlier than traditional monitoring tools.
Root Cause Analysis Services

Root cause analysis uses AI to trace incidents through complex distributed systems. By analyzing dependencies between services, the platform identifies the origin of failures faster. This reduces investigation time and prevents repeated disruptions.
Automated Remediation Services

Automated remediation applies predefined scripts and machine learning recommendations to resolve common infrastructure issues instantly. This approach minimizes manual intervention and significantly accelerates system recovery.
Security Monitoring Services

AI-driven security monitoring analyzes logs, network activity, and infrastructure events to identify potential threats. Organizations gain faster detection of suspicious behavior and stronger protection for critical systems and data.

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Machine Learning (ML) Solutions We Offer

AIOps Analytics

AIOps analytics applies machine learning to examine system logs, metrics, and operational data across complex IT environments. This analysis reveals recurring failures, hidden inefficiencies, and infrastructure risks. Businesses gain improved system stability and fewer operational disruptions.

Service Discovery

Service discovery uses ML algorithms to automatically identify services and map dependencies within distributed environments. This improves infrastructure visibility and prevents configuration errors. Organizations gain clearer architecture understanding and more reliable DevOps operations.

Intelligent Event Management

Intelligent event management applies ML to classify, prioritize, and group alerts generated by monitoring systems. By filtering noise and highlighting critical incidents, IT teams can focus on the most urgent issues and maintain continuous system reliability.

Predictive Intelligence

Predictive intelligence relies on ML models that analyze historical system data to forecast potential infrastructure problems. Businesses use these insights to prevent service disruptions, optimize resource planning, and improve operational continuity.

Integrated Dashboards

ML-powered dashboards combine operational metrics, alerts, and performance indicators in a single interface. This unified visibility allows teams to monitor system health, identify trends, and make faster operational decisions.

Zero-touch Automation

Zero-touch automation uses ML to detect known operational patterns and trigger automated responses. This reduces manual troubleshooting, speeds up recovery processes, and lowers operational costs for IT support teams.

Network Monitoring

ML-driven network monitoring analyzes traffic patterns, identifies anomalies, and detects early signs of congestion or failure. This ensures stable connectivity and improved performance across distributed systems.

Telemetry Analysis

Telemetry analysis applies machine learning to process data collected from devices, applications, and infrastructure components. By identifying abnormal behavior and usage trends, organizations can maintain proactive maintenance and optimized system performance.

AIOps Analytics

Service Discovery

Intelligent Event Management

Predictive Intelligence

Integrated Dashboards

Zero-touch Automation

Network Monitoring

Telemetry Analysis

AIOps Analytics

Service Discovery

Intelligent Event Management

Predictive Intelligence

Integrated Dashboards

Zero-touch Automation

Network Monitoring

Telemetry Analysis

Less guessing, more knowing

We’ll help you turn raw system data into useful actions automatically.

Power Up with AI

AIOps Services and Solutions for Industries

Elinext delivers AIOps solutions tailored to the needs of specific industries helping organizations automate IT operations, reduce downtime, and improve service reliability. Here’s how AIOps services drive your business value across sectors:

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Healthcare

We help healthcare providers monitor systems that support electronic records, lab tools, and connected devices. Our AIOps solutions reduce downtime and ensure data integrity for patient care.

Real-time monitoring for EHR and HIS platforms
Predictive failure alerts for medical systems
Automated escalation and response workflows

Finance

Elinext AIOps company supports financial institutions by deploying AIOps tools that monitor critical systems, detect transactional anomalies, and trigger automated incident response reducing financial risk.

Implementation of ML-based fraud alerting
Correlation of infrastructure and app-level issues
Proactive risk insights for IT operations

Banking

We help banks stabilize their digital channels with intelligent monitoring, faster root cause analysis, and proactive scaling of backend systems.

Automated system diagnostics and RCA tools
Load forecasting and capacity recommendations
Integration of AIOps into core banking systems

Retail

For retailers, we deliver AIOps solutions that ensure high availability of POS systems, stock management, and eCommerce apps. This minimizes sales losses and boosts customer experience.

Real-time health checks for store systems
Inventory system monitoring with automated alerts
Integration with service desks for auto-response

eCommerce

Elinext AIOps company helps eCommerce platforms manage high-traffic events with automated alerting, self-healing systems, and performance insights to improve uptime and conversion rates.

Traffic spike forecasting and system tuning
Fast root cause detection across microservices
24/7 infrastructure monitoring with AI

Manufacturing

We design AIOps frameworks that monitor factory floor systems, IoT devices, and production software to keep operations efficient and responsive.

Data correlation between IT and OT systems
AI-powered monitoring for PLCs and controllers
Predictive maintenance based on system logs

Logistics

In logistics, Elinext integrates AIOps to monitor warehouse software, tracking APIs, and delivery platforms helping avoid delays and support SLA performance.

End-to-end visibility into delivery systems
Alert correlation across devices and software
Downtime reduction via early fault detection

Education

We help schools and universities manage their digital learning environments by using AIOps to reduce IT downtime and ensure reliable student access.

Monitoring of LMS and cloud learning tools
AI-based helpdesk automation
Root cause analysis for connectivity issues

Automotive

Elinext supports automotive IT operations with AIOps systems that monitor engineering tools, in-vehicle software platforms, and smart factory tech.

Alerting for digital twin environments
Code deployment monitoring in R&D systems
AI-assisted predictive maintenance for plant IT

Agriculture

We help agri-tech companies manage data pipelines, sensor networks, and automated farming tools through scalable AIOps that minimize disruptions.

Monitoring IoT-based field equipment
Predictive insights on connectivity or battery issues
Event automation for cloud-based agri platforms

Healthcare

Finance

Banking

Retail

eCommerce

Manufacturing

Logistics

Education

Automotive

Agriculture

What Our Experts Say
What Our Experts Say

"Data modernization is rarely just about technology. Most companies already have monitoring tools, logs, metrics, and dashboards, but all that information lives in separate systems and doesn’t always explain what actually went wrong. At Elinext AIOps company, we focus on connecting those signals and applying machine learning to make sense of operational data, highlight real incidents, and automate routine responses. The business result is more predictable operations, faster troubleshooting, and fewer situations where engineers stare at ten dashboards wondering which one is telling the truth."

Maxim Dadychyn

Principal Consultant of AIOps Services

Get a Free Consultation

Maxim Dadychyn

Head of Generative AI

Core Technologies We Work With

Get a Free Consultation

AI & Machine Learning 12
+0
Tensorlfow

Remarkable point

Adopted by millions worldwide.

End-to-end open-source framework by Google enabling AI and machine learning across industries with scalable training and deployment globally.

PyTorch

Remarkable point

Backed by Meta AI.

Open-source deep learning framework enabling scalable training and deployment of AI models across research, enterprise, and production environments globally.

Amazon SageMaker

Remarkable point

Adopted by thousands of teams.

AWS service enabling developers to build, train, and deploy ML models with scalability, automation, and enterprise-ready security globally.
Big Data & Analytics 12
+0
Apache Spark

Remarkable point

Processes petabytes across clusters.

Unified engine for batch and stream processing with high-performance in-memory computing, powering real-time analytics, AI, and ML pipelines globally.

Hadoop

Remarkable point

Adopted globally for big data solutions.

Open-source framework for distributed storage and large-scale processing of massive structured and unstructured datasets globally for enterprise workloads.

Apache Kafka

Remarkable point

Handles trillions of events daily.

Distributed streaming platform enabling real-time pipelines, pub/sub messaging, and stream processing at enterprise scale with reliability and flexibility.

ElasticSearch

Remarkable point

Downloaded over 600M times.

Distributed search and analytics engine powering logs, observability, and enterprise insights with speed, scale, and flexible querying capabilities globally.
Cloud Platforms 12
+0
AWS

Practice

13 years

Projects

30+

Workforce

10+

Largest cloud provider offering compute, storage, AI, and analytics with unmatched scale, global infrastructure, and millions of customers.

Learn more

Microsoft Azure

Practice

12 years

Projects

10+

Workforce

10+

Cloud platform uniting AI, data, and IoT with hybrid support, strong security, and 60+ global regions for enterprise scalability.

Learn more

GCP

Practice

12 years

Projects

20+

Workforce

15+

Cloud platform with strong AI, data analytics, and open-source tools enabling business innovation at scale across 200+ countries.

Learn more

Kubernetes

Remarkable point

Adopted by 80% of cloud-native companies.

Orchestration platform automating deployment, scaling, and management of large-scale containerized cloud-native applications.

Docker

Remarkable point

Downloaded over 13B times.

Platform packaging apps into containers to ensure portability, fast deployments, consistency, and scalability across environments.
Monitoring & Observability Tools 12
+0
Prometheus

Remarkable point

Graduated CNCF project.

Monitoring and alerting toolkit designed for reliability and scalability in cloud-native environments with Kubernetes-native integration globally.

Grafana

Remarkable point

Adopted by 20M+ users worldwide.

Open-source analytics and monitoring platform enabling visualization and dashboards for metrics, logs, and events across enterprise systems globally.

DataDog

Remarkable point

Used by 25k+ companies globally.

Cloud-native monitoring and security platform enabling observability for infrastructure, applications, and logs with scalability and automation globally.
DevOps & Automation 12
+0
Ansible

Remarkable point

Backed by Red Hat community.

Open-source automation tool for IT configuration, orchestration, and deployment, enabling enterprises to simplify complex processes at scale worldwide.

HashiCorp Terraform

Remarkable point

Has 40k+ GitHub stars.

Infrastructure as Code tool enabling provisioning and automation across clouds, networks, and services with reusable, version-controlled templates globally.

Jenkins

Remarkable point

Used by 15M+ developers worldwide.

Open-source automation server enabling enterprises to build, test, and deploy apps with scalability, extensibility, and integrations globally.

GitLab CI

Remarkable point

Adopted by 100k+ teams.

CI/CD platform integrated into GitLab enabling automation of builds, tests, and deployments with scalability globally.

Puppet

Remarkable point

Used by 40k+ organizations worldwide.

Infrastructure automation platform enabling configuration management, compliance, and scalability across hybrid IT environments and enterprises worldwide.

Practice

13 years

Projects

30+

Workforce

10+

Largest cloud provider offering compute, storage, AI, and analytics with unmatched scale, global infrastructure, and millions of customers.

Learn more

Practice

12 years

Projects

10+

Workforce

10+

Cloud platform uniting AI, data, and IoT with hybrid support, strong security, and 60+ global regions for enterprise scalability.

Learn more

Practice

12 years

Projects

20+

Workforce

15+

Cloud platform with strong AI, data analytics, and open-source tools enabling business innovation at scale across 200+ countries.

Learn more

The Benefits of AIOps Services and Solutions by Elinext

Since partnering with Elinext in 2017, we have consistently been impressed by their unparalleled expertise and innovative approach to delivering exceptional services at competitive rates. Our collaboration with Elinext`s Vietnam team for all our Ul development needs has been nothing short of remarkable.

Kurt Lueck

CTO And Co-Founder

65%

Reduction in Alert Noise in Enterprise IT Systems

70%

Faster Root Cause Analysis in Retail and Finance

50%

Fewer Critical Incidents After 3 Months of Deployment

Choose Your
Service Option

Leverage AIOps expertise

Elinext AIOps company offers experienced AIOps specialists who can step in quickly. Whether you're looking to fine-tune anomaly detection models, improve alert correlation, or reduce system noise, our experts integrate into your existing workflows without disrupting operations. This model is ideal for organizations that need flexible, short-term access to domain-specific skills without the cost of long recruitment or long-term commitment.

Request staff augmentation

Hire a dedicated AIOps engineer team

For businesses managing complex, high-availability systems, we offer dedicated AIOps teams who work solely on your infrastructure needs. This includes ongoing monitoring, automation strategy, predictive modeling, and integration across hybrid or cloud-native environments. You get full transparency, domain-aligned workflows, and specialists that evolve with your systems. Perfect for companies scaling fast or requiring long-term support.

Request a dedicated team

Let us handle your AIOps project

With project outsourcing, we start with an assessment of your current infrastructure, define KPIs and automation targets, and deliver a tailored solution whether it’s predictive incident management, real-time monitoring, or intelligent alerting. You save internal resources, avoid common implementation pitfalls, and get a fully managed delivery process with measurable results. This model suits businesses looking for a hands-off outcome-focused partnership.

Request project outsourcing

Leverage AIOps expertise

Request staff augmentation

Hire a dedicated AIOps engineer team

Request a dedicated team

Let us handle your AIOps project

Request project outsourcing

Hire AIOps Engineers from Elinext

10+

Years

Poland

GMT+2

Volha S

Cloud Engineer

education

MSc in Cloud Computing

BSUIR (Minsk)

From $5,990.00

The exact monthly rate is influenced by several factors: the developer’s location, the number of developers involved, team composition, workload volume per month, length of commitment, and the chosen working model. Contact us now to receive your best tailored commercial proposal.

Main information

13,900+

Commercial hours

Projects Delivered

Courses Completed

7,200+

Tasks Completed

Description

Architects cloud infrastructures for enterprise and SaaS using AWS, Azure, and Docker, ensuring high availability and security. Automated failover processes, led cloud migration projects, and mentored DevOps teams on best practices.

Languages

AWS 90%

Azure 88%

Docker 87%

Kubernetes 85%

Terraform 84%

Cloud Security 86%

Infrastructure as Code 84%

CI/CD 82%

Years

Poland

GMT+2

Aliona W.

DevOps Engineer

education

MSc in Software Engineering

Belarusian State University

From $3,860.00

Main information

2,400+

Commercial hours

Projects Delivered

Courses Completed

1,100+

Tasks Completed

Description

Implements DevOps pipelines and cloud automation for startups, automating build and deployment processes. Improved rollback procedures, enhanced system monitoring, and supported product teams in agile releases.

Languages

Docker 72%

Jenkins 70%

AWS 69%

Linux 67%

Git 65%

CI/CD 63%

Terraform 61%

Prometheus 60%

Years

Poland

GMT+2

Ivan I.

ML Developer

education

BSc in Machine Learning

Polotsk State University

From $3,060.00

Main information

1,200+

Commercial hours

Projects Delivered

Courses Completed

600+

Tasks Completed

Description

Develops ML models and automates data cleaning with Python and Scikit-learn, focusing on business analytics and predictive insights. Accelerated project delivery, improved data quality, and worked closely with product teams for agile iteration.

Languages

Python 59%

Scikit-learn 58%

TensorFlow 56%

Data Cleaning 55%

Pandas 54%

Jupyter 53%

Business Analytics 52%

Git 51%

Years

Vietnam

GMT+7

Thien T.

Automated Testing Engineer

education

BSc in Information Technology

Vietnam National University (HCMC)

From $3,950.00

Main information

10,100+

Commercial Hours

Projects Delivered

Courses Completed

85%

Test Coverage Achieved

Description

Automates end-to-end testing for web and mobile platforms, integrating CI/CD with Jenkins for continuous quality. Built reusable test suites, improved coverage metrics, and collaborated with teams to drive best testing practices.

Languages

Selenium WebDriver 89%

API Testing 86%

Jenkins 85%

Java 84%

TestNG 82%

Cucumber 81%

Postman 80%

Allure 78%

Years

Poland

GMT+2

Dmitry I.

IT Project Manager

education

BSc in Digital Technologies

BSUIR (Minsk)

From $3,740.00

Main information

2,200+

Commercial Hours

Projects Delivered

Courses Completed

90+

Milestones Achieved

Description

Drives IT project delivery and requirements for enterprise SaaS, coordinating with business and technical teams. Automated documentation, improved project handoffs, and ensured compliance with client standards.

Languages

Project Management 74%

Agile 73%

Scrum 71%

Jira 70%

Documentation 68%

Stakeholder Management 72%

Requirements Analysis 69%

Process Improvement 66%

Years

Georgia

GMT+4

Luka D.

Business Analyst

education

MA in Digital Media

Ilia State University

From $4,560.00

Main information

7,100+

Commercial Hours

Projects Delivered

Courses Completed

80+

Process Improvement Initiatives Completed

Description

Leads business analysis and requirements gathering for fintech IT, collaborating with cross-functional teams to deliver strategic solutions. Built KPIs dashboards, automated process mapping, and supported change management initiatives.

Languages

Business Analysis 88%

Requirements Gathering 85%

KPI Development 83%

Process Mapping 80%

Change Management 78%

Stakeholder Communication 81%

Agile Methods 76%

Data Visualization 75%

Years

Poland

GMT+2

Aleksandra A.

UI/UX Designer

education

MSc in Digital Innovation

Warsaw University of Technology

From $5,200.00

Main information

8,200+

Commercial Hours

Projects Delivered

Courses Completed

120+

UI Components Built

Description

Designs intuitive interfaces and user flows for SaaS and mobile platforms, leading redesigns for e-commerce brands. Built interactive prototypes, implemented usability testing, and enhanced user satisfaction through data-driven UI decisions.

Languages

Figma 90%

Adobe XD 88%

User Research 85%

Prototyping 87%

Usability Testing 86%

Wireframing 82%

UI Design 84%

Interaction Design 81%

Years

Kazakhstan

GMT+5

Sergei T.

FinTech Expert

education

MSc in Finance

Nazarbayev University

From $4,710.00

Main information

12,800+

Commercial Hours

Projects Delivered

Courses Completed

70+

Fraud Cases Prevented

Description

Expert FinTech professional specializing in cryptocurrency trading platforms & financial analytics. Successfully launched 25+ fintech products, managed digital asset portfolios worth $50M+. Strong expertise in algorithmic trading, blockchain protocols & regulatory frameworks.

Languages

Financial Analysis 82%

Blockchain 85%

Trading Platforms 88%

Risk Management 80%

Cryptocurrency 90%

Data Analytics 78%

Algorithmic Trading 83%

RegTech 77%

https://www.elinext.com/wp-content/themes/elinext/resources/service/developer_video/Volha_S_Cloud_Engineer.mp4

Volha S

Cloud Engineer

https://www.elinext.com/wp-content/themes/elinext/resources/service/developer_video/Aliona_W_DevOps_Engineer.mp4

Aliona W.

DevOps Engineer

https://www.elinext.com/wp-content/themes/elinext/resources/service/developer_video/Ivan_I_ML_Developer.mp4

Ivan I.

ML Developer

https://www.elinext.com/wp-content/themes/elinext/resources/service/developer_video/Thien_T_Automated_Testing_Engineer.mp4

Thien T.

Automated Testing Engineer

https://www.elinext.com/wp-content/themes/elinext/resources/service/developer_video/Dmitry_I_IT_Project_Manager.mp4

Dmitry I.

IT Project Manager

https://www.elinext.com/wp-content/themes/elinext/resources/service/developer_video/Luka_D_Business_Analyst.mp4

Luka D.

Business Analyst

https://www.elinext.com/wp-content/themes/elinext/resources/service/developer_video/Aleksandra_A_UI_UX_Designer.mp4

Aleksandra A.

UI/UX Designer

https://www.elinext.com/wp-content/themes/elinext/resources/service/developer_video/Sergei_T_FinTech_Expert.mp4

Sergei T.

FinTech Expert

Why Elinext?
Listen to Our Clients

Working with Elinext felt like having an extension of our own team. They modernized our outdated cash management system into a sleek, reliable platform with features our clients truly value. Thanks to their dedication and expertise, we can now confidently retain long-term clients and win new ones.

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Financial Services and Banking

Jürgen Scharf

Head of QA, SmartStream | UK

We’d been stuck with our app for over a year, but Elinext helped us get it working the way we always wanted. Now it’s simple, reliable, and our customers actually enjoy using it. We still work with their team whenever we need new features or updates.

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Information Technology

Anonymous

VP Engineering, Netgear | USA

Elinext`s work has led to a more modern and flexible MES system. Their communication was transparent, with daily sync-ups with our department. Judging by our ongoing cooperation and the way they’ve executed numerous parallel initiatives, we’ve trusted them to lead several more projects.

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Manufacturing

Martin Russel

Head for Process Automation, Siemens | Germany

We have enjoyed a consistently productive partnership with Elinext for more than 20 years. They have proven to be very competitive in all the important dimensions, such as: quality and skill level of staff and management, productivity, professionalism, collaboration, flexibility, low turnover, and cost.

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Telecom

Peter Clairmont

SVP Software Engineering, Broadcom | USA

Elinext successfully integrated the GlobalGAP API into our certification platform, ensuring seamless data exchange and compliance. Their developer also optimized key modules like Invoices, Non-Conformities, and Audits, while improving system stability and security.

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Logistics & Supply Chain

Luis Correia Goncalves

Regional Director, Control Union | Spain

Timely deliveries, good work quality, great cultural fit. Elinext managed to increase automation coverage. They are always flexible when it comes to our unique needs. The entire management structure, including executive management at Elinext, is always flexible and willing to work through special situations. They are a partner.

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Environmental, Social, and Governance

Dan Pham

CTO, Novisto | Canada

Elinext helped us transform outdated tools into two robust applications for financial risk and loan cost analysis. Their team handled complex calculations, integrations, and reporting with precision, giving us a stable system trusted by major corporations for over a decade. They were reliable partners throughout the project’s entire lifecycle.

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Financial Services and Banking

Anonymous

Sr. Derivative Accountant, GTreasury | USA

I was impressed with how quickly Elinext understood what we needed. In just a month, they built an app that lets us read company news, manage invoices through photos, and sync events to our calendars. It’s simple, reliable, and makes my work a lot easier.

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Accounting

Anonymous

IT Director, BDO Denmark | Denmark

From the very beginning, their team demonstrated professionalism and flexibility. Communication was always open and transparent, making collaboration easy despite working across different time zones. The outcome fully met our expectations, and we feel confident relying on Elinext as a long-term technology partner.

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Insurance

Anonymous

Program Manager, Vienna Insurance Group | Austria

We have been using the Elinext development and QA teams on our projects for years, and in my opinion they compare favorably in terms of project management, individual skills and communication over other companies. I wouldn`t hesitate to recommend this outfit to any company seeking managed offshore development.

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Translation and Localization

Jordan Ellington

President & VP Legal Technology, Transperfect | USA

Elinext is helping us develop from scratch a sales tool to create offers and calculations for sales. Regarding technologies and programming languages, they use Java, and the frontend is browser-based. Everything has been working as expected. We haven`t had any problems, which doesn`t always happen during these types of projects.

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Information Technology

Josef Kudrna

Project Manager, Rene Faigle AG | Switzerland

Elinext provided excellent UX design, front-end development, and testing, showing flexibility in meeting deadlines and maintaining high standards. Their reliability and responsiveness have been outstanding, and we plan to continue our partnership on future projects.

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Information Technology

Andreas Strahm

Business Analyst, Lestra Engeneering AG | Switzerland

Working with Elinext to deploy our web service was an exceptional experience from start to finish. Their expertise in web development and cloud computing truly shone through, resulting in a seamless and efficient deployment of our service. We are more than happy with the result and the way we worked together.

Information Technology

Simon Scharschinger

CEO, cubic solutions GmbH | Germany

Throughout the project, Elinext was very responsive and easy to communicate with. We also appreciated that they were able to provide a dedicated and functional solution at a competitive cost. Overall, it was a positive collaboration that added real value to our internal processes.

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Renewable Energy

Francesco Zago

Head of Sale & M&A, NatPower | Italy

FAQ

AIOps solutions are technologies that analyze operational data using machine learning. They are used to reduce alert noise, detect anomalies earlier, and automate routine responses. Businesses apply AIOps to prevent outages, accelerate troubleshooting, and maintain stable IT operations.
AIOps solutions are AI-driven platforms designed to optimize IT operations. They are used to improve system uptime, speed up root cause analysis, and automate incident handling. Businesses apply them to reduce manual workload and enable more proactive infrastructure management.
AIOps platforms are monitoring systems enhanced with machine learning and data analytics. They are used to identify patterns, predict potential failures, and automate responses. Businesses apply them to move from reactive monitoring to predictive and automated IT operations.
AIOps implementation is the process of introducing AI-driven monitoring and automation into IT environments. It is used to process operational data from multiple systems. Businesses apply structured implementation strategies to overcome challenges such as data integration, model training, and process adaptation.

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How n8n Workflow Automation Platform Can Scale Business

When Amazon scaled from selling books to running one of the largest marketplaces in the world, it wasn’t headcount that kept things moving. It was automation. Orders, inventory updates, fraud checks, notifications: thousands of workflows ran without human touch. That same logic applies to growing companies today. With platforms like n8n, businesses automate boring, fragile … Continued

How to Create an App with ChatGPT

Everyone’s talking about ChatGPT, but the real story starts when you stop chatting and start building. Modern LLMs can sketch flows, write code, explain trade-offs, and catch bugs before they bite. That doesn’t mean apps build themselves. It means the barrier drops with generative AI development services. In this guide, we’ll cut through the hype, … Continued

How AI Consulting Boosts Digital Transformation in Modern Enterprises

AI consulting is reshaping how modern enterprises achieve digital transformation, turning data, automation, and strategy into measurable impact. The market is expected to be worth around USD 59.4 billion by 2034, according to the Global AI Consulting Market report. This reflects the rapid adoption of AI-driven expertise as organizations seek smarter operations, faster decisions, and … Continued

Generative AI for Business: Use Cases for Key Industries

Who would have thought just a couple of years ago that artificial intelligence would become more than just a buzzword, but a real tool changing the business landscape? 88% of companies have already learned how to make profit from new technologies. Generative models write texts, create designs, forecast demand, and even help doctors. Today, the … Continued

How Much Will AI App Like ChatGPT Development Cost in 2026: Complete Breakdown

Investing in an AI app like ChatGPT is becoming a strategic asset for businesses today as the global generative AI market is rapidly growing. It is projected to reach $255.8 bln by 2033. That’s why many companies are wondering how much it costs to develop such solutions. Depending on various factors, the cost ranges from … Continued

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