- OUR SERVICES
Data Science Services and Solution Development
Solid Data Foundation for Your Business Model
Cross-functional data science and analytics services at the intersection of next-gen technologies and ample capabilities.
Data Transformation
Give your data its due by eliminating silos, democratizing access, and communicating insights across the organization. Our data analytics services company puts your infrastructure straight and lowers the cost of insights.
Machine Learning
Our ML engineers match your analytics challenges with the right supervised, unsupervised, or reinforcement learning algorithms, deliver autonomous data science solutions, and provide comprehensive machine learning consulting.
Neural Networks and Deep Learning
We bring in our expertise in neural nets to enable transformative data science model development for your company. We create accurate forecasting, fraud detection, speech recognition solutions, and more to meet your project needs
Natural Language Processing
We help you make sense of customer insights across all touchpoints, no matter the format, volume, or complexity. Turn to our data science development company and get to know your customer with our custom NLP solutions.
BI & Visualizations
Sharpen business performance, keep your teams focused on a single outcome, and contextualize insights to make them more actionable. We help your company tap into business intelligence and customize it to your unique needs.
Cloud Environments
Migrate your assets to the cloud and get a scalable, secure, and innovation-ready foundation for your projects. Our certified cloud engineers help you adopt and right-size cloud resources for cost-effective solution development.
A Modern Data Platform Ready for Analytics
High level architecture of the Data Foundation Solution.
Delivering Data Science Solutions Across Business Cases
Our data science company equips you with the right tools to solve business challenges of any complexity.
AI Language Models
- Stay at the edge of innovation with our custom language models based on the robust combination of AI and NLP. Automate customer service with human-like interaction, tap into the minds of customers, and reduce your admin burden.
- Smart solutions based on GPT
- Sentiment analysis
- Natural language generation
- Document processing
Customer Analytics and Personalization
Our data science developers combine analytics and AI to create custom models that help you size up your customers and markets – and operate accordingly. Adapt to your changing behaviors in real time and drive value from interactions.
- Unified analytics for omnichannel
- Customer behavior analytics and predictions
- Customer segmentation
- Advanced analytics for CRM
Predictive Analytics
- Demand forecasting
- Risk calculation
- Fraud detection
- Predictive maintenance
Recommendation Systems
- Collaborative filtering
- Content-based filtering
- Hybrid recommendation systems
- Integration with existing software
Embedded Operational Intelligence
Benefit from our professional services to get a better handle on real-time data and reduce your time-to-insight. Record and deliver performance analytics in a split second and act on dynamic insights instead of historical ones.
- Real-time analysis
- Analysis of imagery and video
- IoT input analysis
- Stream processing systems and Big data platforms
Optical Character Recognition
- Unstructured OCR scanning
- Structured data capture
- Optical barcode recognition
- Character recognition on raw images.
Benefit from Our Data Science as a Service Model
Benefit from the latest analytics capabilities without investing in in-house competencies.
Strategy and Consulting
- Data science consulting
- Machine learning consulting
- Business case analysis
- Project planning
Data Engineering
- Optimization of database and data warehouse platforms
- Platform migration
- Data discovery and augmentation
- ETL pipeline development
Solution Development
Our machine learning engineers train and validate AI-based models and deploy them in a tailored app. Following the ModelOps approach, we initiate a continuous operational cycle leading to high-quality model production.
- Collection and exploration
- Custom model development
- Model training and evaluation
- Data science app development
Maintenance and Optimization
Ensure the long-term value of data analytics investment and build models to address evolving challenges. We monitor your model performance, enrich it with new input, and continually re-evaluate its accuracy.
- Model performance monitoring
- Data consistency analysis
- Model enrichment
- Stability monitoring and drift prevention
Industries
Implementing data science for development across business domains.
E-Commerce
Marketing & Advertising
Supply Chain & Logistics
Financial Services
Healthcare & Pharmacy
Manufacturing
Why Work With Nobel Link?
We partner with global clients on targeted projects through to end-to-end transformations.
01
Strong Expertise
Since 2014, we’ve been delivering complex data-based solutions to solve different business challenges.
02
Top Data Service Provider
Our company is ranked in the top 1% of software solution partners according to industry ratings.
03
Diverse Expertise
We handle the entire process of software development as an autonomous, dedicated team.
Customer Success
FAQ
Data science technology is a term used to describe the various tools and techniques used to extract insights from the existing input. This includes everything from visualization and machine learning to more traditional methods such as statistical analysis. The technology is constantly evolving, and new tools and techniques are being developed all the time. Our company selects a custom combination of methods and techniques to address the unique needs of a particular client.
Data science as a service is used for a variety of purposes, from analyzing customer insights to understanding satellite images. It is a way to outsource the data science model development process to data science as a service companies that can share their expertise and reduce the costs of hiring an in-house team.
The exact amount of upfront investment into data science in software development differs by project size, complexity, and location of your data analytics firm. It may cost you from $20,000 to $100,000 for PoC to validate the idea and guarantee the scalability of a project. Contact our company to get an accurate estimation of your project.
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