Build Enterprise Generative AI Applications with Bedrock
Oodles builds secure, scalable generative AI applications using Bedrock. We leverage Bedrock’s fully managed access to foundation models such as Claude, Llama, Amazon Titan, and Stable Diffusion to design AI agents, knowledge-based systems, and serverless inference pipelines aligned with enterprise security and compliance requirements.
What is Bedrock?
Bedrock is a fully managed generative AI service that provides API-based access to multiple foundation models without infrastructure management. It enables enterprises to build, customize, and deploy generative AI applications using Amazon Titan, Anthropic Claude, Meta Llama, and Stability AI models while maintaining data privacy, security, and compliance.
Why Choose Oodles for Bedrock?
- ✓ Expertise in Bedrock foundation models and APIs
- ✓ Serverless generative AI architecture with automatic scaling
- ✓ Knowledge bases with vector embeddings and semantic retrieval
- ✓ AI agents with orchestration, tool usage, and workflow automation
- ✓ Enterprise-grade security using IAM, VPC endpoints, and encryption
Serverless
Bedrock-managed inference
Multi-Model
Claude, Llama, Titan, SD
Secure
Enterprise compliance
Contextual AI
Knowledge bases
Our Bedrock Development Process
Oodles follows a structured Bedrock-first workflow from model selection to production deployment.
1
Model Selection: Choose the right Bedrock foundation model based on latency, accuracy, and cost requirements.
2
Knowledge Base Setup: Connect enterprise data sources, generate embeddings, and enable semantic retrieval.
3
Agent & Prompt Design: Build Bedrock agents with function calling, orchestration, and prompt templates.
4
Deployment: Deploy Bedrock-powered applications using serverless APIs with monitoring.
Bedrock Solutions We Deliver
Production-grade generative AI solutions built exclusively using Bedrock.
Bedrock-Powered Chatbots
Context-aware conversational AI using Claude and Bedrock Knowledge Bases.
Enterprise Knowledge Assistants
Document search, summarization, and Q&A using Bedrock embeddings.
Image Generation
Image creation and editing using Stable Diffusion and Titan Image models.
AI Workflow Automation
Multi-step automation using Bedrock Agents and serverless orchestration.
FAQs (Frequently Asked Questions)
AWS Bedrock is a managed service for building generative AI applications with foundation models (Claude, Llama, Titan). Use it when you want serverless LLM access, RAG, and agents without managing infrastructure.
We offer Bedrock app development, RAG pipelines, agent building, and fine-tuning. We integrate with your data and APIs. We deploy scalable, secure solutions on AWS.
We use Bedrock Knowledge Bases to ingest your documents, chunk, and embed. We connect retrievers to Bedrock LLMs for question-answering. We optimize retrieval and prompt design for accuracy.
Yes. We use Bedrock Agents to create tools, define workflows, and deploy conversational AI. We handle prompt engineering, tool use, and orchestration. We ensure safety and guardrails.
We use IAM, VPC, and KMS for access control and encryption. We implement usage limits, logging, and audit trails. We follow AWS best practices and compliance requirements.
Yes. We use multiple Bedrock models for different tasks (e.g., Claude for reasoning, Titan for embeddings). We implement fallbacks and model routing. We optimize for cost and quality.
MVP Bedrock apps take 4–8 weeks; production RAG and agents 2–3 months. We use iterative sprints and demos. We can start with a proof-of-concept on your AWS account.
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