ML / AI Services

Enhance the performance of ML models across business functions with agile workflows and standardized processes at scale. ML/AI systems are becoming widespread across industry verticals around the globe. Enterprises face numerous challenges when it comes to scaling machine learning models, automation in AI systems, standardization, and the cost-effectiveness of AI/ML solutions.
Transcloud empowers you to operationalize AI-driven ML models with top-tier MLOps frameworks, automated workflows, and ready-made accelerators for seamless scaling in production. Our solutions drive faster ML development cycles, automate processes, and enhance your team’s capabilities with state-of-the-art MLOps tools. It expedites time-to-value while achieving your machine learning 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 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 CI/CD pipelines, automating the build, test, and deployment processes for efficient ML model delivery.

› Monitoring and Alerting
Transcloud offers advanced monitoring tools and triggering mechanisms to track AI 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 AI-powered platforms.

› User Feedback Loop
By creating a robust user feedback loop, we enable 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 AI model testing and validation capabilities, including unit testing, integration testing, and validation against real-world data, ensuring the reliability and accuracy of machine learning solutions.

› 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.
Why Transcloud for MLOps Solutions?
Our expertise in MLOps frameworks and managing the AI/ML lifecycle ensures that your enterprise achieves scalable, efficient, and cost-effective solutions tailored to your business needs. Let Transcloud handle the complexity of machine learning operations, so you can focus on innovation and growth.

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 behavior and not purely on items, Recommendations AI ensures personalized experiences tailored to unique preferences.
› Omnichannel Predictions
Served across mobile, web, and email, Recommendations AI analyzes customer history across pages, devices, and brands, delivering personalized content and recommendations wherever customers interact with your brand.
› Catalog Metadata Understanding
Recommendations AI learns item similarity from catalog metadata to handle new cold-start items. It leverages data from GA360, Tag Manager, Cloud Storage, and BigQuery to gather rich metadata for more accurate predictions.
› Global Availability
Fully managed service with high availability and global deployment. Recommendations AI provides millisecond low-latency with support for almost all major languages, ensuring seamless and quick delivery of recommendations worldwide.