Overview
OneData Software’s Amazon Bedrock–based generative AI offering empowers organizations to build intelligent applications by seamlessly integrating pre-trained foundation models (FMs) from top providers such as Anthropic, Meta, Cohere, Stability AI, and Amazon Titan. Using a single API interface in a fully managed, serverless environment, OneData accelerates the deployment of AI-powered workflows while maintaining data privacy, governance, and performance at scale.
⚙️ Core Capabilities
Foundation Model Access & Selection • Connect to text, image, and chat-based FMs like Claude, Llama 2, Titan, Jurassic, and Stable Diffusion • Access via unified API with automated model evaluation and selection tools • Design applications across document summarization, content generation, virtual assistants, and media insights
Customization & Retrieval Augmented Generation (RAG) • Fine-tune models on proprietary datasets using Bedrock’s customization capabilities • Integrate Knowledge Bases for context-enriched outputs through RAG workflows • Maintain model isolation for secure deployment without sharing customer data for model training
Multimodal Data Automation • Extract insights from documents, images, audio, and video using Bedrock’s multimodal processing • Automate tasks like classification, summarization, transcription, and visual grounding • Enable confidence scoring, hallucination mitigation, and output filtering via Guardrails
Agent Development & Orchestration • Create smart agents with Amazon Bedrock Agents and orchestrate complex workflows using AgentCore • Use Bedrock Flows to visually link prompts, guardrails, APIs, and enterprise connectors • Automate Lambda-driven backend integration for real-time query handling and business logic
Security, Governance & Responsible AI • Enforce strict IAM policies, TLS encryption, and VPC isolation for deployment • Apply responsible AI guardrails to redact PII, block unsafe outputs, and manage model behavior • Comply with HIPAA, PCI DSS, ISO 27001, and GDPR with audit-ready deployment models
Optimization & Observability • Reduce latency and costs with intelligent prompt caching, model distillation, and routing strategies • Enable batch inference and provisioned throughput for large-scale workloads • Monitor usage and performance via CloudWatch and Bedrock Observability dashboards
Industry Use Cases • Retail: Personalized product recommendations, brand copy generation • Healthcare: Patient record summarization, virtual nurse assistants • Finance: Automated reports, risk analysis, compliance insights • Education: Adaptive tutoring, quiz generation, lesson recaps • Media & Marketing: Scriptwriting, campaign ideation, image captioning
Managed Services & Support • Guided onboarding with prebuilt flows and agent templates • Expert consulting on model selection, prompt engineering, and agent design • End-to-end integration with AWS services like S3, Lambda, SageMaker, and API Gateway
Highlights
- • Amazon Bedrock • Foundation Models (FMs) • Claude / Llama 2 / Titan / Stable Diffusion • Generative AI • Retrieval Augmented Generation (RAG) • Knowledge Bases
- • Fine Tuning • Multimodal Processing • Document Summarization • Media Analysis • Bedrock Agents • AgentCore • Bedrock Flows • Guardrails
- • Serverless Deployment • Secure Model Isolation • Visual Grounding • VPC & IAM Governance • Prompt Optimization • Enterprise Integration
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