Fleak

Intelligent Data & AI Workflows Built in Minutes, Not Months

Freemium

Description

Fleak is an enterprise-ready platform designed to transform how organizations create and manage intelligent data workflows. It empowers users to build self-healing AI orchestration systems that automatically adapt to changes in data sources and business requirements. This approach aims to significantly reduce engineering time by up to 90% while maintaining comprehensive governance and control over data processes.

The platform provides a unified solution for both API services and streaming data processing, eliminating the need for duplicate implementations and reducing maintenance overhead. Fleak facilitates seamless integration with various enterprise systems, including advanced LLMs like GPT, LLaMA, and Gemini, alongside tools such as AWS Lambda and enterprise databases, through pre-built connectors. It emphasizes a governance-first approach, offering features like version control, controlled deployment processes across staging and production environments, and extensive monitoring capabilities for performance, data quality, and operational metrics, all without requiring users to manage underlying infrastructure.

Key Features

Self-Healing Architecture: Workflows automatically adapt to changing data formats and business requirements.
Intuitive Drag-and-Drop Interface: Build workflows visually, supporting JSON, SQL, CSV, and unstructured text.
Unified Execution Engine: Single platform for both API services and streaming data processing.
LLM & AI Tool Orchestration: Integrate models like GPT, LLaMA, Gemini, and tools like AWS Lambda, databases.
Enterprise Governance & Control: Features versioning, controlled releases, audit trails, and role-based access.
Comprehensive Observability: Monitor performance, data quality, and business metrics.
No Infrastructure Management: Serverless deployment reduces operational overhead.
Proven Enterprise Scale: Process millions of events per minute reliably.

Use Cases

Building Intelligent Data Workflows
Self-Healing AI Orchestration
Unified API & Streaming Data Processing
LLM Integration & Enhancement (RAG)
Data Transformation & Standardization (e.g., OCSF)
Custom Product Recommendations
Chatbot Creation (e.g., Slack History)
Data Embedding & Vector Storage (e.g., Pinecone)
Sentiment Analysis Application
Cybersecurity Data Processing
Manufacturing Data Processing
Supply Chain Data Processing

Frequently Asked Questions

What is Fleak?

Fleak is an enterprise-ready platform that transforms how organizations build intelligent data workflows, enabling self-healing AI orchestration that adapts automatically to changes while ensuring governance.

Is Fleak suitable for production environments?

Yes, Fleak is designed for production with enterprise-grade controls, including versioning, controlled deployment processes, comprehensive monitoring, proven scalability, and high reliability.

What types of workflows can I build with Fleak?

You can build various intelligent data workflows, such as API services, streaming data processors, data transformation pipelines (e.g., OCSF translation), product recommendation systems, chatbots, data embedding flows, RAG pipelines, and sentiment analysis applications.

Can Fleak handle real-time data processing?

Yes, Fleak supports both synchronous API services and asynchronous/real-time streaming data processing through its unified execution engine, capable of handling millions of events per minute.

Can I integrate Fleak with my existing systems?

Yes, Fleak offers pre-built connectors to seamlessly integrate with existing enterprise systems like AWS Lambda, databases, specialized tools, and allows orchestration of advanced LLMs alongside them.