Your partner for AI solutions from Ideation to Implementation
At STS, we don’t just offer services; we provide a gateway to a future where intelligent solutions drive innovation, efficiency, and exponential success. Our Machine Learning Engineers help you from ideation to implementation and you can use AI to optimize processes, improve the customer experience and gain a competitive advantage in today’s data-driven world. In addition, we integrate machine learning operations (MLOps) for quality check and continuous model refinement.
Our AI Services
It should look like this
AI Product Development service
Empower your business with customized AI Solutions. We specialize in crafting cutting-edge products that leverage the power of artificial intelligence. From concept to deployment and operations, our expert team ensures your vision is translated into innovative AI-driven products.
AI Chatbots & Assistants
Revolutionize customer engagement with our AI Chatbots & Assistants services. Our solutions not only automate the routine tasks but also deliver the personalized responses that enhance user interactions, streamline support, and elevate the overall customer experience.Explore the future of customer engagement with our cutting-edge AI Chatbots & Assistants services.
Predictive analytics & forecasting
Unlock the power of data-driven decision-making with our Predictive Analytics & Forecasting services. We employ cutting-edge AI algorithms to transform historical data into actionable insights, enabling you to make informed decisions to optimize operations, mitigate risks by anticipating trends, proactively plan for the future and stay ahead in a dynamic marketplace.
Helping you at every stage of your AI journey
Our ML Development process Helps you at every stage of Your AI Journey. From ideation to implementation and Deployment.
01
Problem and Business Need Analysis- Analyze business drivers and collect prerequisites
- Evaluate current technology environment
- Evaluate feasibility
- Gather Functional and non-functional requirements
- Define Project scope
02
AI Solution Implementation- Collect and prepare data
- Initial data analysis
- Implementation approach and tech stack selection
- Select ML model and train
- Evaluate model performance
03
Deployment & MLOps- Integrate the ML Solution into the existing environment
- Create DevOPs pipelines for serving and training purposes
- ML Solution scaling in the target environment
- Monitor model performance metrics & re-training when needed (MLOps)
- Provision of end-user trainings and support