Major Offering
Machine Learning
Services
Data-driven analytics and solutions to automate mundane and challenging business processes with minimal human intervention, ensuring error-free results.
Empowering Businesses with
Cutting-Edge Machine Learning Services
Our Machine learning services involve the use of sophisticated artificial intelligence algorithms to analyze and interpret large volumes of data, enabling organizations to gain insights, make data-driven decisions, automate complex business processes and facilitate innovation.
We closely work with organisation helping them explore the potential capabilities of machine learning to foster business growth and subsequently leverage achieving corporate objectives. Organisations can implement machine learning for:
- Detection of irregularities
- Future Prediction
- End result and outcome projections
- Business Forecasting/ Trend Forecasting
- Pattern and Data Analytics
- Spam Filtering
- Opinion and Reviews
- Product Recommendation
- Customer Behaviour Study
Machine Learning Capabilities:
Deep Learning
Our Deep Learning services involve the development, implementation, and management of advanced artificial neural networks for analyzing complex data sets, enabling organizations to gain deeper insights and make more accurate predictions. Deep Learning solutions can help organizations to improve the accuracy and efficiency of their decision-making processes and to gain a competitive edge in the marketplace.
Predictive Analysis
Our Predictive Analysis services typically involve using existing business insights, extracting advanced statistical data and machine learning techniques to analyze large datasets and identify patterns and trends that can be used to predict future outcomes.
Image Analytics
We collaborate with organizations to develop image analytics solutions and applications that can automatically detect, classify, and extract information from digital images which includes identification of objects, recognising of people and locations, extraction of text, and analysis of activities. These capabilities empower businesses to gain insights and make informed decisions based on visual data.
Video Analytics
We closely work with organisations to develop video analytics system that can extract valuable insights and information from the motion picture or video including identifying people, recognising activities, track objects and tag various entities.
Natural Language Processing (NLP)
Our NLP services can help organizations process and understand large volumes of text data in a more efficient and accurate manner. By leveraging the power of NLP, businesses can gain valuable insights from customer feedback, automate customer support, and improve communication with global audiences.
Machine Learning Solutions based on Computer Vision
Our computer vision services involve the use of advanced algorithms and techniques to enable machines or computer to interpret and understand real-world, real-time visuals. Twebey closely works with businesses to develop sophisticated and cutting-edge computer vision applications and software that can seamlessly integrate with other systems, including ERP, POS, CCTV, and diagnostic software. These applications enable users to identify irregularities in production lines, analyze images, and recognize people and objects, among other use cases.
Our computer vision development capabilities includes:
- Face recognition
- Video analytics
- Object recognition
- Image processing
- Object detection
- Test, image and video interpretation
- Scenario detection
Our Development Methodology
1 1
Challenge Identification and Data Gathering
To commence the development process, we first identify the business problems at hand. Our team of developers carefully examine and analyze business challenges, and then determine the best solution to address them. With this information, we proceed to gather both qualitative and quantitative data to aid in our analysis. This data collection process enables us to better understand the problem, and ultimately deliver a more effective solution.
2 2
Raw Data To Usable Format
After collecting the raw data, we take steps to transform it into a usable format that can be fed into machine learning algorithms. This involves cleaning, pre-processing, and structuring the data to ensure its quality and suitability for analysis. Once we have transformed the data, we move on to the next step of the development process, which involves training, testing, and validating the ML algorithms. By doing so, we are able to refine the models and derive meaningful insights that can be used to facilitate further development processes.
3 3
Develop Models
We create several algorithm models using the transformed training data. We then utilize an appropriate learning method to conduct experimental analysis, with the goal of achieving the desired outcome.
4 4
Test, Validate and Deploy
We test the model that we developed in the previous stage to determine its suitability. We also validate the model to ensure it meets the necessary standards for scaling speed, accuracy, efficiency, and performance. Following validation, we proceed with A/B testing and make modifications to the model as needed before deploying it.