Sold by: Teleglobal International Pvt Ltd
Teleglobal helps businesses design, build, and deploy production-ready Generative AI systems on AWS. Our team works with Amazon Bedrock, SageMaker, and EC2 to deliver secure, scalable AI applications that run entirely within your AWS environment, with no data sent to external APIs. From proof of concept to full deployment, we cover architecture, integration, and ongoing optimisation.
Overview
Teleglobal builds Generative AI applications on AWS for businesses that need real results, not experiments. We work with Amazon Bedrock to access and customise foundation models including Claude, Titan, and Llama, and we use Amazon SageMaker to train, fine-tune, and serve custom ML models tailored to your specific data. For teams that require full data isolation, we deploy private large language models on Amazon EC2 within a dedicated VPC, so your data never touches an external API. Every solution is built to AWS Well-Architected standards from day one. Typical solutions we deliver include document processing AI, retrieval-augmented generation (RAG) with Bedrock and S3, AI copilots embedded in enterprise applications, and data analytics and AI pipelines that surface insights directly from your existing data warehouse.
Highlights
- AWS-native Generative AI built to production standards. We design every solution using Amazon Bedrock, SageMaker, and EC2 inside your private AWS environment, keeping your data secure, your costs predictable, and your AI systems ready to scale from day one.
- Structured delivery from AI readiness assessment to managed operations. Our five-phase process gives you full visibility at every stage, from validating the use case through to production deployment and ongoing performance optimisation.
Details
Categories
Delivery method
Deployed on AWS
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Support
Vendor support
Teleglobal provides dedicated support for all AWS Generative AI engagements.
Email: hello@teleglobals.com
Phone: +91 951 363 1005
Website: https://teleglobals.com/
Support is available Monday to Friday, 10 AM to 7 PM IST. For enterprise engagements, a dedicated point of contact is assigned at the start of the project. Post-launch support covers performance monitoring, cost reviews, and model behaviour assessments through our Managed AI Operations service.