Artificial Intelligence
For smart businesses that prioritise a digitally-centric future, automation and artificial intelligence have unleashed cognitive revolutions. The Bulltech Software Private Limited AI and Automation teams deliver value at scale and assist in establishing an enterprise-wide ecosystem powered by end-to-end digitalization. We offer consultation, implementation, and support services for intelligent automation to automate repetitive business activities in a variety of industries, such as marketing, finance, invoicing, and claims processing.
In order to maximise ROI and promote operational excellence, our automation services incorporate AI capabilities to optimise solutions.
END-TO-END Advanced Analytics & AI/ ML Services
01
Image & Video Analytics
Automatic object recognition and labelling from pictures and videos. With the help of Bulltech's computer vision analytics services, companies may create a Visual Analytics Processing capability that will allow AI and computer vision-based applications to quickly and accurately extract valuable data from pictures and videos.
02
Forecasting & Optimization Models
By using statistical algorithms to analyse past data, one can forecast and predict opportunities, customer behaviour, and the financial, economic, and market dangers of unknown future events.
03
Personalized Data Analysis Workbenches
Accelerate your data science lifecycle with data discovery, data processing, model building, model management, model consumption, visualization, and workflow management in a unified platform.
04
Cloud AI/ ML Services
Lifecycle ML model development and deployment using real-time and batch data processing AI/ML use cases and various cloud machine learning capabilities such as AutoML, hyperparameter optimization, cloud-based cognitive bot services, and MLOps technology. Accelerate and manage your cycles.
05
Natural Language Processing (NLP)
Identify important insights from unstructured data. It uses NLP algorithms to extract the information and insights contained in NLP systems, providing an intelligent self-learning system that can classify and organize itself.
06
Anomaly Detection
Anomaly detection is a method of discovering outliers in a collection. Items that don't belong there. The importance of anomaly detection comes from the concept that anomalies in data can lead to important (and often critical) actionable information in a variety of application areas. As more companies go digital, it's important to have systems in place that can not only inspect data after the fact, but also predict and detect anomalies and new patterns needed to transform data into useful information.
Advanced Analytics For Deep Business Insights
As a result of more manageable data and more timely access to critical data.
Feed better data quality into business workflows and gain a more accurate understanding of actual operational performance
Instead of dealing with the complexities of DevOps and data engineering, data scientists can now work on higher-value analytical activities.
Detailed SLA analytics highlight gaps in customer service and support.
Identify and prevent potential legal issues and fines before they become problems, especially in highly regulated industries such as healthcare and financial services.
A more automated system reduces storage requirements and application/service licenses.
Predictive analytics provides insight into emerging trends and focuses future development and innovation efforts.
