AWS AI Integration
Deploy your agents on the world's most robust cloud infrastructure. Through our AWS AI integration, leverage Amazon Bedrock, S3, and Lambda for secure, scalable automation that complies with the strictest corporate standards.
π Enterprise-Grade AI Infrastructure
For large corporations and healthcare providers, entrusting sensitive data to third-party public APIs is unthinkable. Flow Synapse's integration with Amazon Web Services (AWS) allows you to build a powerful AI ecosystem, completely isolated and under your control:
- Security and Compliance (VPC & IAM): Your AI agents and data reside within your own Virtual Private Cloud (VPC). You precisely control access via AWS IAM, ensuring full compliance with GDPR and HDS (Health Data Hosting) standards.
- Big Data Processing: Unlike lightweight cloud integrations, the AWS environment allows you to analyze millions of documents, logs, or customer interactions without any bottlenecks.
- Data Sovereignty: With AWS, you choose the geographic region of your servers (e.g., Paris, Frankfurt). Your corporate data and AI models never leave the selected territory.
βοΈ Bedrock, S3, and Serverless
Flow Synapse orchestrates AWS managed services to create high-performance, cost-optimized artificial intelligence workflows.
- Amazon Bedrock: Access top foundation models (Anthropic Claude 3, Meta Llama, Amazon Titan) via a single API, directly within your AWS environment. Your data is never used to train Amazon's base models.
- Data Lakes with Amazon S3: Transform your S3 buckets into a knowledge base for AI. Flow Synapse indexes your PDFs, archives, and contracts stored on S3 to power a highly accurate RAG (Retrieval-Augmented Generation) system.
- Event-Driven Automation (AWS Lambda): No more servers running idle. We configure Lambda functions (Serverless) that trigger only when an action is required (e.g., a new file uploaded to S3 triggers immediate AI analysis).
π B2B and Medical Architectures
Discover how technology leaders use AWS integration via Flow Synapse:
- Clinics and Medical Data (HDS): A patient sends their full medical file. The files land in an encrypted S3 bucket. AWS Textract extracts the text, and Amazon Bedrock (via a secure Claude model) creates an anonymized clinical summary for the surgeonβall within a healthcare-certified environment.
- Software Vendors (SaaS): Want to integrate AI into your own application? Flow Synapse builds the backend architecture on your AWS account via API Gateway and Lambda, allowing you to offer AI features to your clients while maintaining full control over infrastructure and costs.
- Financial and Legal Analysis: A law firm uploads thousands of pages of case law to AWS S3. The AI is capable of querying this massive document base in real-time to prepare trial arguments.
π‘ FAQ β AWS Integration
This is the primary strength of Amazon Bedrock. AWS contractually guarantees that data from your prompts and knowledge base is neither stored nor shared with model providers (like Anthropic or Meta), nor used to improve their global models. Your data remains private.
Yes. We prioritize deployment on your own AWS infrastructure. We use IAM roles with the principle of least privilege to connect securely and deploy AI automations directly "on your side."
Absolutely. By using AWS Lambda combined with managed services, you only pay for the exact compute time used during AI task execution. There are no expensive servers (EC2) running 24/7 in the background.
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