Oodles AI designs and delivers enterprise generative AI solutions using AWS Bedrock, AWS’s fully managed service for building applications on top of foundation models such as Anthropic Claude, Meta Llama, Amazon Titan, Cohere, Mistral, and Stable Diffusion. Our Bedrock implementations leverage native AWS services, serverless architecture, and built-in security to ensure scalable, compliant, and production-ready AI.
Amazon Bedrock is a serverless AWS service that provides unified API access to multiple foundation models without managing infrastructure. It integrates natively with AWS services such as IAM, VPC, CloudWatch, S3, Lambda, and OpenSearch, enabling secure, scalable, and private generative AI deployments inside your AWS environment.
Deep hands-on experience with Bedrock APIs, foundation model selection, custom fine-tuning, Guardrails, and Knowledge Bases.
Enterprise Retrieval-Augmented Generation pipelines and AI agents built using Bedrock, OpenSearch, S3, and vector embeddings.
Practical experience across Claude, Llama, Titan, Mistral, Cohere, and Stable Diffusion models available in Bedrock.
IAM-based access control, VPC endpoints, encryption at rest and in transit, and compliance-ready AWS configurations.
Auto-scaling inference pipelines using Bedrock, Lambda, API Gateway, Step Functions, and CloudWatch monitoring.
Oodles AI has delivered multiple production-grade AWS Bedrock solutions for enterprises across industries.
Selection and tuning of Claude, Llama, and Titan models using Bedrock Custom Models and private training pipelines.
Bedrock Knowledge Bases integrated with S3, OpenSearch, Pinecone, and Aurora for contextual retrieval.
Autonomous agents built with Bedrock Agents, function calling, and AWS-native orchestration.
Safety controls using Bedrock Guardrails for content moderation, PII protection, and policy enforcement.
Text-to-image and image editing using Stable Diffusion XL and Amazon Titan Image models on Bedrock.
End-to-end integration with Lambda, API Gateway, Step Functions, AppSync, and CloudWatch.
Document ingestion, summarization, classification, and Q&A using Bedrock text models combined with RAG pipelines.
Bedrock-powered conversational agents using Claude models and Knowledge Bases for accurate, multi-turn support.
Marketing and enterprise content generation using fine-tuned Bedrock foundation models.
Secure code generation, review assistance, and documentation support built on Bedrock text models.
Semantic search and natural language querying across enterprise data using Bedrock Knowledge Bases.
Policy analysis, compliance checks, and risk insights generated using Bedrock foundation models with Guardrails.