ML / AI Services

Enhance the performance of ML models across business functions with agile and standardized workflows at scale. ML/AI systems are becoming widespread across industry verticals around the globe. Enterprises face numerous challenges when it comes to scaling, automation, standardization, and the cost-effectiveness of AI-based solutions. 

Transcloud empowers you to operationalize ML models with top-tier frameworks, automated workflows, and ready-made accelerators for seamless scaling in production. Our solutions drive faster development cycles, automate processes, and enhance your team’s capabilities with cutting-edge MLOps tools. It expedites time-to-value while achieving your ML goals.

With our comprehensive suite of MLOps solutions, customers can navigate the entire AI/ML lifecycle with confidence, from data processing and model development to deployment, monitoring, and continuous improvement.

› Data Processing: We provide a  robust data processing solutions, including data cleaning, transformation, and enrichment, ensuring high-quality data inputs for AI/ML models.
› CI/CD Building: Our platform enables the seamless integration of AI/ML workflows into continuous integration/continuous deployment (CI/CD) pipelines, automating the build, test, and deployment processes for efficient model delivery.
› Monitoring and Alerting: Transcloud offers advanced monitoring and triggering mechanisms to track model performance metrics and data anomalies, triggering alerts and actions based on predefined thresholds to maintain model health.
› Integration: We facilitate seamless integration of AI/ML solutions into existing systems and workflows, ensuring interoperability and smooth collaboration across different technologies and platforms.
› User Feedback Loop:  By creating a robust user feedback loop, enabling customers to gather valuable insights from end-users and stakeholders to iteratively improve AI/ML models and applications.
› Testing and Validation: Our platform offers comprehensive testing and validation capabilities, including unit testing, integration testing, and validation against real-world data, ensuring the reliability and accuracy of AI/ML models.
› Model Deployment: We streamline the deployment process for AI/ML models, providing scalable infrastructure and deployment pipelines for seamless rollout into production environments.
› Continuous Improvement: Through ongoing monitoring, feedback integration, and iterative development cycles, Transcloud empowers customers to continuously improve AI/ML solutions, optimizing performance and delivering maximum value over time.

Unstructured data is the cause of much unnecessary work, whether it originates in paper or digital formats. Document AI uses industry-leading technology to classify documents, accurately extract the most important entities from them, and store them in a secure, scalable, enterprise grade document warehouse. Now you can classify, extract, and get deeper insights from documents using natural language prompts with high accuracy and limited-to-no machine learning (ML) training. 

Document AI has been proven to:
› Search documents and help your business find content faster and better
› Automate document-handling, management and workflows, save cost and time
› Store and access document content faster at cloud scale
› Enforce rich governance and compliance policies, mitigate risk
› Integrate easily with other Cloud services such as Cloud Storage, Big Query, Workflows, etc.,

With Recommendations AI, Retail or Media businesses can customize the recommendations to deliver the desired outcome: engagement, revenue, or conversions. Recommendations AI can understand nuances behind customer behavior, context, and SKUs in order to drive customer engagement. It lets businesses harness that experience and expertise to deliver highly personalized recommendations that suit each customer’s tastes and preferences at scale.

› True personalization, Personalization happens in real-time with every click for cold-start users. Based on individual shopper and not purely on items.
› Omnichannel predictions, Served across mobile, web and email. Analyzes customer history across pages, devices, and brands.
› Catalog metadata understanding, Learns item similarity from catalog metadata to handle new cold-start items. Leverages data from GA360, Tag Manager, Cloud Storage, and BigQuery to gather rich metadata.
› Global availability, Fully managed service with high availability, global deployment. Millisecond low-latency with support for almost all major languages.