Turbo charge your business growth with AI/ML
Embrace Cloudly’s predictive and generative AI expertise through open technologies.
Discover our AI/ML capabilities
Cloudly team has been working on applied AI/ML, specializing in Predictive AI, Generative AI, and MLOps. We develop tailored solutions leveraging the latest technologies and platforms, enabling businesses in finance, healthcare, industrial, and technology sectors to harness the full potential of AI for use cases like: enhanced decision-making, operational efficiency, and actionable insights.
Predictive AI and ML expertise applied across financial, healthcare, industrial and technology use cases leveraging supervised (regression, classification), unsupervised (clustering, association, anomaly detection and auto-encoders), reinforcement and deep learning techniques
MLOps spanning a wide of public platforms – Google Vertex AI, AWS SageMaker, Azure AI Studio, and Weights and Biases covering the entire ML development lifecycle
Predictive AI and ML Expertise
Predictive AI and ML expertise applied across financial, healthcare, industrial and technology use cases leveraging supervised (regression, classification), unsupervised (clustering, association, anomaly detection and auto-encoders), reinforcement and deep learning techniques
At Cloudly, we excel in applying Predictive AI and Machine Learning to drive transformative outcomes across financial, healthcare, industrial, and technology sectors. Our expertise spans both supervised learning techniques like regression and classification, and unsupervised techniques like clustering, association, anomaly detection and auto-encoders. We design robust system architectures that integrate seamlessly with existing data infrastructures, ensuring that our predictive models can leverage all available data. Our approach to cost and resource management ensures that these models operate efficiently at scale, providing real-time predictions and analysis that enhance decision-making processes. Whether it’s predicting market trends in finance, identifying patient risk factors in healthcare, optimizing manufacturing processes, or improving technology product recommendations, Cloudly’s predictive AI solutions are tailored to meet the unique challenges of each industry.
Further, Cloudly addresses the complexities of deploying AI and ML models in real-world environments, focusing on data integration and preparation; and model training, deployment and serving. We helped our clients develop models designed to adapt to rapidly changing data patterns, ensuring they remain accurate and relevant over time. We have demonstrated our ability to deliver significant improvements in efficiency, accuracy, and business outcomes through predictive analytics and AI. As we look to the future, Cloudly is committed to advancing our predictive AI capabilities by exploring the integration of deep learning techniques, automated machine learning (AutoML), and real-time data streams. Our forward-looking approach positions Cloudly your key partner to leverage the power of Predictive AI and ML to drive innovation and success across a wide range of use cases for your business.
Cloudly stands at the forefront of Generative AI and Large Language Models (LLMs), offering unparalleled expertise across both open models like OpenAI and Llama, as well as closed models such as Gemini and Mistral. We leverage a wide range of cutting-edge techniques to maximize the potential of these models, including Prompt Engineering, which tailors AI responses to specific tasks; Retrieval-Augmented Generation (RAG), which combines the power of retrieval-based systems with generative capabilities for enhanced accuracy; Named Entity Recognition (NER), which identifies and categorizes key information; and Fine-Tuning, which customizes models for specialized use cases. We helped our clients develop system architecture for flexibility and scalability, allowing seamless deployment and integration of these AI models into enterprise environments. Our approach to resource management ensures optimal performance and cost efficiency, whether you’re looking for large-scale AI workloads or not.
Our expertise in Generative AI and LLMs has a profound impact across various industries, from enhancing customer interactions in finance and healthcare to driving innovation in technology and industrial sectors. Cloudly addresses the challenges of deploying these powerful models in real-world scenarios, focusing on maintaining data privacy, ensuring ethical AI usage, and achieving high levels of accuracy and relevance in AI-generated content. We have successfully landed projects for customers in improving operational efficiency, personalizing user experiences, and accelerating research and development processes. Looking ahead, Cloudly is committed to advancing our AI capabilities by exploring emerging trends such as multi-modal models, AI explainability, and hybrid architectures that combine the strengths of open and closed models. Through these innovations, we expect to be your close partner in harnessing the full potential of Generative AI and LLMs for transformative business outcomes.
MLOps Excellence Across Public Platforms
MLOps spanning a wide of public platforms – Google Vertex AI, AWS SageMaker, Azure AI Studio, and Weights and Biases covering the entire ML development lifecycle
At Cloudly, we deliver comprehensive MLOps solutions that span leading public platforms, including Google Vertex AI, AWS SageMaker, Azure AI Studio, and Weights and Biases . Our expertise covers the entire machine learning development lifecycle, from model development and training to deployment, monitoring, and continuous integration/continuous deployment (CI/CD). Our clients have designed operational architectures that are robust, scalable, and tailored to leverage the specific strengths of a platform while ensuring seamless integration into existing enterprise environments. We can help ensure smooth deployment and operation of ML models across cloud, on-premises, and edge environments.
Cloudly team is adept at navigating the challenges associated with MLOps, such as managing model drift, ensuring data security, and scaling operations across diverse environments. We’ve successfully demonstrated the effectiveness of our solutions in industries like finance, healthcare, and technology, where we have successfully enhanced model performance, reduced time-to-market, and improved operational efficiency. As we look to the future, Cloudly is focused on integrating emerging technologies such as privacy-aware features, federated learning and explainable AI into our MLOps offerings, further enhancing transparency, privacy, and collaboration across platforms. Additionally, we are exploring hybrid cloud based MLOps strategies that combine the best features of public platforms with private infrastructure, offering our clients the flexibility and control they need to stay ahead in a rapidly evolving AI landscape. Cloudly remains committed to driving innovation in MLOps, empowering businesses to harness the full potential of machine learning in a scalable, secure, and efficient manner.