Fleak - Real-time AI & Enrichment workflows

Fleak Real-time AI & Enrichment workflows

Freemium

From 29$

Home: https://fleak.ai

#Serverless
#Workflow Automation
#data processing
#api development
#LLM Integration
#real-time processing

Visit Fleak

What is Fleak?

Fleak is a cutting-edge, low-code serverless platform designed for data teams to build and deploy scalable APIs efficiently. The platform excels in handling real-time data processing and AI workflow orchestration, processing up to 10,000 events per second while maintaining cost-effectiveness compared to traditional solutions like Apache Flink.

The platform provides comprehensive integration capabilities with large language models, databases, and essential tools, enabling seamless connections between SQL, AWS Lambda, and vector databases like Pinecone. Its serverless architecture eliminates infrastructure management concerns while ensuring high performance, scalability, and security for production-grade deployments.

Features

Serverless Infrastructure: Build and run applications without managing servers
AI Orchestration: Seamless integration with multiple LLMs and low latency performance
Universal Storage Compatibility: Integration with Cloud Data Warehouses and Lakehouses
Production Ready Deployment: HTTP API Endpoints with high reliability and security
Real-time Processing: Handles up to 10,000 events per second
Low-code Interface: Visual workflow builder for quick deployment
Multi-format Support: Handles JSON, SQL, CSV, and Plain Text data
Performance Monitoring: Real-time tracking and analytics tools

Use Cases

Social media personality analysis
Product recommendation customization
Slack history chatbot creation
Data embedding and storage in Pinecone
LLM response enhancement with RAG
Sentiment analysis across datasets

FAQs

How does Fleak handle data storage?

Fleak provides universal storage compatibility, integrating with various Cloud Data Warehouses and Lakehouses, offering flexible storage solutions for different data workflows.
Can Fleak handle real-time data processing?

Yes, Fleak can process up to 10,000 events per second, making it suitable for real-time data processing applications.
What types of data formats does Fleak support?

Fleak supports multiple data formats including JSON, SQL, CSV, and Plain Text, allowing for versatile data handling and transformation.