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Fleak AI Workflows

3.9
💬218
💲Freemium

Fleak simplifies AI workflow creation for data teams with a serverless API builder and integrations. It enables the building of complex data workflows in minutes, deployment in one click, and real-time monitoring for data correctness and cost. The platform offers enterprise-grade controls and integrates with leading cloud data warehouses and vector databases.

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Platform
web
AI data workflowsAI integrationAI workflowsData governanceData integrationData monitoringData orchestration

What is Fleak AI Workflows?

Fleak simplifies AI workflows for data teams by providing a serverless API builder and integrating with leading cloud data warehouses and vector databases. It allows users to build complex model chaining data workflows in minutes, deploy in one click, and monitor in real-time for data correctness and cost. Fleak is an enterprise-ready platform that transforms how organizations build intelligent data workflows, creating self-healing AI orchestration that adapts to changes automatically.

Core Technologies

  • Serverless API Builder
  • AI-Powered Workflow Orchestration
  • Real-time Monitoring
  • Enterprise-Grade Controls

Key Capabilities

  • Simplified AI workflow creation
  • No infrastructure management required
  • Integration with leading data warehouses and vector databases
  • Self-healing architecture
  • Unified execution engine for API services and streaming data processing
  • Enterprise governance and security features

Use Cases

  • Translate Security Logs to OCSF standard
  • Customize Your Product Recommendations to Better Fit Your Needs
  • Effortlessly create a Slack history chatbot
  • Easily Embed and Store Data in Pinecone
  • Enhance LLM Response with RAG and Pinecone Integration
  • Explore and Apply Sentiment Labeling Across Data Sets

Core Benefits

  • Simplified AI workflow creation
  • No infrastructure management required
  • Integration with leading data warehouses and vector databases
  • Self-healing architecture
  • Unified execution engine for API services and streaming data processing
  • Enterprise governance and security features

Key Features

  • Serverless API Builder
  • AI-Powered Workflow Orchestration
  • Real-time Monitoring
  • Enterprise-Grade Controls

How to Use

  1. 1
    Define your business requirements
  2. 2
    Use an intuitive drag-and-drop interface
  3. 3
    Test your workflow and preview results
  4. 4
    Deploy your workflow in one click
  5. 5
    Monitor your workflow in real-time

Pricing Plans

Free

$0/month
5 workflows, 500 API requests, 100k LLM tokens, 1M Embedding tokens, Restricted QPS, Discord Support

Starter

$29/month + extra model fee
10 Workflows, 5000 API requests, 1M Token LLM usage, 5M Token Embedding, Shared Public Cloud QPS, Discord Support

Professional

$99/month + extra model fee
50 workflows, 1M API requests, 10M LLM usage, 10M Embedding, 50 QPS, QPS Upgrade Upon Request, 1:1 Slack Support

Enterprise

Contact Us
Fully customized configuration, Up to 10,000 QPS, Private Cloud, White glove Service

Frequently Asked Questions

Q.What is Fleak?

A.Fleak is an enterprise-ready platform that transforms how organizations build intelligent data workflows. It simplifies AI workflows for data teams by providing a serverless API builder and integrating with leading cloud data warehouses and vector databases.

Q.How does Fleak simplify AI integration?

A.Fleak simplifies AI integration by providing a unified architecture that eliminates duplicate implementations and reduces maintenance overhead by connecting your enterprise data sources and AI tools in one place. It also orchestrates advanced LLMs alongside your existing enterprise systems.

Q.Is Fleak suitable for production environments?

A.Yes, Fleak's governance-first approach gives you confidence in your production deployments. Version, deploy, and monitor your workflows with enterprise-ready controls that ensure compliance, security, and performance at scale.

Pros & Cons (Reserved)

✓ Pros

  • Simplified AI workflow creation
  • No infrastructure management required
  • Integration with leading data warehouses and vector databases
  • Self-healing architecture
  • Unified execution engine for API services and streaming data processing
  • Enterprise governance and security features

✗ Cons

  • Pricing may be a concern for some users
  • Reliance on pre-built connectors may limit flexibility for niche tools
  • Potential learning curve for users unfamiliar with low-code platforms

Alternatives

No alternatives found.