Industry leaders that rely on N-iX tech expertise
Improve your business outcomes with cutting-edge AI technologies
Fast data-driven decisions
Make informed impactful decisions with insights gained from AI and Machine Learning development services.
Data monetization and revenue growth
Increase your profits by optimizing operations and expenses, improving customer satisfaction with personalized experiences, conducting effective marketing, and more.
Automation and optimization
Drive business innovation, efficiency, and sustainability by automating internal processes, eliminating manual work, and boosting employee productivity.
Faster AI and ML adoption with effective team scaling
Expand your team with our experienced specialists who can help you streamline your Artificial Intelligence development and ML.
Your AI and ML journey with N-iX
Effective strategy for AI and Machine Learning adoption
Successful AI and ML development requires a solid adoption strategy. Whether you need to build a strategy from
scratch or want to ensure the existing one is up for the task - N-iX, as a ML development company, can help.
Adoption strategy design
- Defining, qualifying, and prioritizing use-cases and objectives
- Vision for Artificial Intelligence development
- PoC and cost estimation
- AI/ML solution architecture design
- Tech stack and team composition
- Roadmap and timelines
- Model governance
- Framing ModelOps cycle, ML Model Governance, and managing models life cycle
Adoption strategy assessment
- Qualification of use-cases and objectives
- AI/ML solution architecture review
- Data strategy review
- Roadmap and timelines assessment
- Reviewing ModelOps practices, including ML model governance and models lifecycle management
- AI readiness estimation
- AI and Machine Learning development workshopst
Our AI and ML development capabilities
ML models development
Deep learning
Computer vision
Natural language processing (NLP)
Chatbots and conversational AI
Recommendation systems
Reinforcement learning
Deploying ML to production
AI and Machine Learning tech expertise at N-iX
Capitalize on Generative AI together with N-iX
Utilizing our deep expertise in Generative AI across various sectors, we can ignite innovation within your enterprise, transform
workflows through intelligent automation, and significantly boost efficiency. Our consultants are adept at pinpointing the
Generative AI use cases most aligned with your business goals.
Working together, we'll streamline the integration of Generative AI within your organization, making the entire process effortless.
Efficient and stable solution performance with MLOps and AI/ML maintenance
With the help of MLOps and AI/ML maintenance, N-iX enables a stable and efficient performance of all your
systems. We also make sure that they are easy to scale, support, and reproduce.
MLOps
- Orchestrated experiments
- Automated ML pipelines
- Connecting DataOps and MLOps pipelines using feature stores
- CI/CD for Machine Learning
- Continuous training for orchestrating and automating pipeline execution
- ML pipeline deployment
- Model governance
- Developing and setting up monitoring and observability
- Leveraging MLOps ecosystem
AI/ML maintenance
- Monitoring data and ML model pipeline health
- Monitoring and analyzing model performance
- Detecting drifts in model inputs and outputs
- Monitoring data quality
- Model explainability
- Performing root-cause analysis of issues in model production
- Troubleshooting
- Retraining models
- Post-deployment management
Success stories Case studies
What helps N-iX match any AI and Machine learning development need
60+
150+
certified experts
200+
ISG-recognized
engineering
23+
2,400+
IT experts
Meet our Technology leaders and Data experts
Igor Tymchuk
Head of Data Unit, AVP Delivery
Valentyn Kropov
Chief Technology Officer
FAQ
This is what any AI project starts with. Our experts assess how AI-powered technologies align with particular business goals, evaluate data readiness, prioritize high-value yet low-risk use cases, validate AI-driven solutions, and optimize AI harnessing.
When creating an AI/ML adoption roadmap, we define, qualify, and prioritize objectives and use cases, form a vision for AI development, perform PoC and cost estimation, design AI/ML solution architecture, determine the tech stack and team composition, and establish a project timeline.
We set up a robust AI governance framework, implement stringent data encryption and system access controls, conduct data anonymization and minimization, perform regular adversarial testing and risk audits, continuously update dependencies and models, and monitor regulatory norms in the industry.
The implementation timeline is conditioned by the solution's complexity, training data availability, the required computational infrastructure, integration needs, etc. Usually, a single-process AI/ML solution can be created within three to six months, whereas comprehensive enterprise-wide platforms take one or even two years to build.
On demand, we track the system's performance and outcomes, study real users' feedback, monitor current market shifts and domain dynamics, and fine-tune the solution to ensure it operates seamlessly, keeping your company ahead of the curve.
More about our Data Engineering, AI, and Computer Vision expertise
Data Engineering & Analytics
AI, ML & GenAI
Computer Vision & NLP
Contact us
Drop a message to our team to see how we can help
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