Real-Time Data Workflows.
Simplified.
Real-Time Data Workflows.
Simplified.
Real-Time Data Workflows.
Simplified.
Effortlessly Build, Deploy, and Scale Real-Time Data Workflows.
Fleak is a low-code, serverless platform that empowers data teams to instantly build and deploy scalable APIs. Seamlessly integrate with your existing AI and data stack—no infrastructure management required.
Create, Connect, and Deploy Workflows in Minutes
Create, Connect, and Deploy Workflows in Minutes
Build Your Data Workflow Quickly
Build Your Data Workflow Quickly
Start by configuring the essential components of your data workflow. With Fleak, you can transform data, generate text embeddings, and connect to vector databases—all in just a few steps. Fleak's intuitive tools eliminate complexity, helping you build workflows efficiently without the need for complex setup.
Add and configure nodes to build your workflow, supporting data types like JSON, SQL, CSV, and Plain Text
Customize your workflow steps with flexible options to handle various data transformations.
Test your workflow and preview results instantly to ensure accuracy before moving forward.
Integrate AI Models and Databases Seamlessly
Integrate AI Models and Databases Seamlessly
Once your workflow is built, Fleak allows you to integrate seamlessly with large language models, databases, and other essential tools. From SQL to AWS Lambda and Pinecone, Fleak simplifies the connections needed to orchestrate AI and data workflows, helping you manage complex integrations easily.
Incorporate the latest LLMs like GPT, LLaMA, and Mistral into your workflows with ease.
Call advanced functions such as AWS Lambda, Vector Databases, and Text Embeddings.
Securely save your transformed data to modern storage technologies such as AWS S3, Snowflake, and Pinecone.
Publish, Manage, and Monitor Your APIs Effortlessly
Publish, Manage, and Monitor Your APIs Effortlessly
After building and integrating your workflow, Fleak makes it easy to publish, manage your APIs, and monitor performance. Version your workflows, push them to staging or production, and track performance metrics—all from a single platform, ensuring smooth and efficient data operations.
Version and deploy your workflows to staging or production with confidence.
Call your APIs using HTTP clients like Postman or CURL for seamless integration.
Continuously monitor your APIs for performance issues and data accuracy.
Production Ready Deployment.
No Infrastructure Requirements.
Production Ready Deployment.
No Infrastructure Requirements.
Unlock the full potential of your data. Fleak enables seamless integration of data components to create a unified API that scales effortlessly. Simplify your workflows and focus on deriving insights from your data, not managing data operations.
Serverless
Infrastructure
Build and run applications without managing servers, ensuring scalable, cost-efficient AI workflows. Fleak's serverless architecture reduces overhead, allowing focus on innovation.
Serverless Infrastructure
Build and run applications without managing servers, ensuring scalable, cost-efficient AI workflows. Fleak's serverless architecture reduces overhead, allowing focus on innovation.
AI Orchestration
Coordinate multiple LLMs to optimize performance in AI workflows. Fleak ensures seamless integration, low latency, and enhances AI model efficiency.
AI Orchestration
Coordinate multiple LLMs to optimize performance in AI workflows. Fleak ensures seamless integration, low latency, and enhances AI model efficiency.
Universal Storage Compatibility
Integrate with any storage environment, including Cloud Data Warehouses or Lakehouses. Fleak's storage-agnostic design ensures flexibility and adaptability for your data workflows.
Universal Storage Compatibility
Integrate with any storage environment, including Cloud Data Warehouses or Lakehouses. Fleak's storage-agnostic design ensures flexibility and adaptability for your data workflows.
Production Ready Deployment
Achieve high standards for reliability, scalability, and security with HTTP API Endpoints for real-world deployment. Fleak handles production-level demands effortlessly.
Production Ready Deployment
Achieve high standards for reliability, scalability, and security with HTTP API Endpoints for real-world deployment. Fleak handles production-level demands effortlessly.
Use Cases
Endless Possibilities for Data Teams
Use Cases
Endless Possibilities
for Data Teams
Based on your own posts and comments through social media, see what others might view you as in a specific platform with this template! Fleak streamlines the use of HTTP Call requests to make calls to different public API's throughout the internet. With Fleak, calling other API's is simple and straight forward.
Based on your own posts and comments through social media, see what others might view you as in a specific platform with this template! Fleak streamlines the use of HTTP Call requests to make calls to different public API's throughout the internet. With Fleak, calling other API's is simple and straight forward.
Based on your own posts and comments through social media, see what others might view you as in a specific platform with this template! Fleak streamlines the use of HTTP Call requests to make calls to different public API's throughout the internet. With Fleak, calling other API's is simple and straight forward.
Fleak streamlines rerank retrieval with Pinecone, enabling developers to efficiently handle serverless workflows. By using Fleak, integrating a Knowledge Search is straightforward, making it simple to create smart, scalable applications that take full advantage of cloud computing power.
Fleak streamlines rerank retrieval with Pinecone, enabling developers to efficiently handle serverless workflows. By using Fleak, integrating a Knowledge Search is straightforward, making it simple to create smart, scalable applications that take full advantage of cloud computing power.
Fleak streamlines rerank retrieval with Pinecone, enabling developers to efficiently handle serverless workflows. By using Fleak, integrating a Knowledge Search is straightforward, making it simple to create smart, scalable applications that take full advantage of cloud computing power.
Fleak simplifies the process of using function calls and AWS Lambda through LLMs, allowing developers to easily manage and execute serverless workflows. With Fleak, integrating LLM-based function execution becomes seamless, making it effortless to build intelligent, scalable applications that leverage the power of cloud computing.
Fleak simplifies the process of using function calls and AWS Lambda through LLMs, allowing developers to easily manage and execute serverless workflows. With Fleak, integrating LLM-based function execution becomes seamless, making it effortless to build intelligent, scalable applications that leverage the power of cloud computing.
Fleak simplifies the process of using function calls and AWS Lambda through LLMs, allowing developers to easily manage and execute serverless workflows. With Fleak, integrating LLM-based function execution becomes seamless, making it effortless to build intelligent, scalable applications that leverage the power of cloud computing.
Fleak streamlines the process of summarizing text, generating embeddings, and storing them in vector databases like Pinecone, enabling efficient data retrieval and analysis across various domains.
Fleak streamlines the process of summarizing text, generating embeddings, and storing them in vector databases like Pinecone, enabling efficient data retrieval and analysis across various domains.
Fleak streamlines the process of summarizing text, generating embeddings, and storing them in vector databases like Pinecone, enabling efficient data retrieval and analysis across various domains.
Fleak enables efficient Retrieval-Augmented Generation (RAG) by integrating Pinecone vector database retrieval with LLM-based answer generation, suitable for various information-rich applications.
Fleak enables efficient Retrieval-Augmented Generation (RAG) by integrating Pinecone vector database retrieval with LLM-based answer generation, suitable for various information-rich applications.
Fleak enables efficient Retrieval-Augmented Generation (RAG) by integrating Pinecone vector database retrieval with LLM-based answer generation, suitable for various information-rich applications.
Fleak provides a versatile platform for sentiment analysis across diverse data sources, using SQL and LLMs to process and label content, which can then be easily deployed as scalable API endpoints.
Fleak provides a versatile platform for sentiment analysis across diverse data sources, using SQL and LLMs to process and label content, which can then be easily deployed as scalable API endpoints.
Fleak provides a versatile platform for sentiment analysis across diverse data sources, using SQL and LLMs to process and label content, which can then be easily deployed as scalable API endpoints.
Fleak is a platform that enables data teams to create scalable, personalized email workflows using SQL and LLMs, offering easy integration through API endpoints and serverless infrastructure.
Fleak is a platform that enables data teams to create scalable, personalized email workflows using SQL and LLMs, offering easy integration through API endpoints and serverless infrastructure.
Fleak is a platform that enables data teams to create scalable, personalized email workflows using SQL and LLMs, offering easy integration through API endpoints and serverless infrastructure.
Start Quickly with Pre-Built Templates
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Start Quickly with Pre-Built Templates
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Start Quickly with Pre-Built Templates
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Data Team Approved
Data Team Approved
We build efficient and effective AI transformations over API endpoints, empowering data scientists, data analysts, and software engineers through a user-friendly, scalable, and seamlessly integrated platform.
As AI workflows and applications scale, complexity becomes a bottleneck. Fleak allows teams to collaboratively design, build, and deploy efficiently, ensuring seamless scalability and streamlined infrastructure management for growing businesses.
Fred Bliss
Applied AI & Innovation
The advanced features of Fleak, like in-memory SQL and LLM nodes, have enhanced our data processing with low latency times. It's a tool worth trying for any data professional. See for yourself how it can reduce AI hallucinations and improve your workflows.
Alan Li
Product Manager, Meta
Fleak’s low-code interface has consolidated multiple data stack into one and closed the gap between SQL, scripting and LLM inferencing, huge boost for efficiency
Sonia Dong
Data Platforms, Roche
Handling high traffic is no longer a concern with Fleak. Its scalability and reliability make it a solid choice for managing large-scale operations. Try it free and see how it can improve your services.
Joanna Hu
Applied Science, Amazon
This weekend, I tried Fleak’s real-time data processing for a personal project. It was easy to set up and integrate various LLMs and vector databases. Try it and share the experience with colleagues.
Suryaveer Lodha
Head of Money Movement & Storage, Stripe
Fleak’s deployment strategy ensures that our updates are smooth and without downtime. It’s a reliable solution for continuous service. Try it out and see for yourself.
Qianwen Chen
Sr. Principal Architect, Salesforce
Fleak’s features, like vector retrieval and LLM nodes, have significantly improved our data processing capabilities. I recommend it for anyone needing advanced data tools. Share it with your colleagues.
Mitul Tiwari
AI & ML Researcher
Using Fleak has helped us reduce our operational costs. Its serverless architecture allows us to focus on innovation without worrying about infrastructure. Fleak's a valuable addition to our tech stack.
Rajiv Bhat
CEO, Martini.ai
Integrating AI workflows can be complex. With Fleak, the process is straightforward and efficient. Try the free version and see for yourself.
XZ Tie
AI & Data Infra Leader
As AI workflows and applications scale, complexity becomes a bottleneck. Fleak allows teams to collaboratively design, build, and deploy efficiently, ensuring seamless scalability and streamlined infrastructure management for growing businesses.
Fred Bliss
Applied AI & Innovation
The advanced features of Fleak, like in-memory SQL and LLM nodes, have enhanced our data processing with low latency times. It's a tool worth trying for any data professional. See for yourself how it can reduce AI hallucinations and improve your workflows.
Alan Li
Product Manager, Meta
Fleak’s low-code interface has consolidated multiple data stack into one and closed the gap between SQL, scripting and LLM inferencing, huge boost for efficiency
Sonia Dong
Data Platforms, Roche
Handling high traffic is no longer a concern with Fleak. Its scalability and reliability make it a solid choice for managing large-scale operations. Try it free and see how it can improve your services.
Joanna Hu
Applied Science, Amazon
This weekend, I tried Fleak’s real-time data processing for a personal project. It was easy to set up and integrate various LLMs and vector databases. Try it and share the experience with colleagues.
Suryaveer Lodha
Head of Money Movement & Storage, Stripe
Fleak’s deployment strategy ensures that our updates are smooth and without downtime. It’s a reliable solution for continuous service. Try it out and see for yourself.
Qianwen Chen
Sr. Principal Architect, Salesforce
Fleak’s features, like vector retrieval and LLM nodes, have significantly improved our data processing capabilities. I recommend it for anyone needing advanced data tools. Share it with your colleagues.
Mitul Tiwari
AI & ML Researcher
Using Fleak has helped us reduce our operational costs. Its serverless architecture allows us to focus on innovation without worrying about infrastructure. Fleak's a valuable addition to our tech stack.
Rajiv Bhat
CEO, Martini.ai
Integrating AI workflows can be complex. With Fleak, the process is straightforward and efficient. Try the free version and see for yourself.
XZ Tie
AI & Data Infra Leader
As AI workflows and applications scale, complexity becomes a bottleneck. Fleak allows teams to collaboratively design, build, and deploy efficiently, ensuring seamless scalability and streamlined infrastructure management for growing businesses.
Fred Bliss
Applied AI & Innovation
The advanced features of Fleak, like in-memory SQL and LLM nodes, have enhanced our data processing with low latency times. It's a tool worth trying for any data professional. See for yourself how it can reduce AI hallucinations and improve your workflows.
Alan Li
Product Manager, Meta
Fleak’s low-code interface has consolidated multiple data stack into one and closed the gap between SQL, scripting and LLM inferencing, huge boost for efficiency
Sonia Dong
Data Platforms, Roche
Handling high traffic is no longer a concern with Fleak. Its scalability and reliability make it a solid choice for managing large-scale operations. Try it free and see how it can improve your services.
Joanna Hu
Applied Science, Amazon
This weekend, I tried Fleak’s real-time data processing for a personal project. It was easy to set up and integrate various LLMs and vector databases. Try it and share the experience with colleagues.
Suryaveer Lodha
Head of Money Movement & Storage, Stripe
Fleak’s deployment strategy ensures that our updates are smooth and without downtime. It’s a reliable solution for continuous service. Try it out and see for yourself.
Qianwen Chen
Sr. Principal Architect, Salesforce
Fleak’s features, like vector retrieval and LLM nodes, have significantly improved our data processing capabilities. I recommend it for anyone needing advanced data tools. Share it with your colleagues.
Mitul Tiwari
AI & ML Researcher
Using Fleak has helped us reduce our operational costs. Its serverless architecture allows us to focus on innovation without worrying about infrastructure. Fleak's a valuable addition to our tech stack.
Rajiv Bhat
CEO, Martini.ai
Integrating AI workflows can be complex. With Fleak, the process is straightforward and efficient. Try the free version and see for yourself.
XZ Tie
AI & Data Infra Leader
FAQ
What is Fleak?
How does Fleak simplify AI integration?
Is Fleak suitable for production environments?
What types of workflows can I build with Fleak?
How does Fleak handle data storage?
What are LLM nodes and how do they work in Fleak?
Can Fleak handle real-time data processing?
How secure is Fleak?
Can I integrate Fleak with my existing systems?
What support is available for Fleak users?
FAQ
What is Fleak?
How does Fleak simplify AI integration?
Is Fleak suitable for production environments?
What types of workflows can I build with Fleak?
How does Fleak handle data storage?
What are LLM nodes and how do they work in Fleak?
Can Fleak handle real-time data processing?
How secure is Fleak?
Can I integrate Fleak with my existing systems?
What support is available for Fleak users?
FAQ
What is Fleak?
How does Fleak simplify AI integration?
Is Fleak suitable for production environments?
What types of workflows can I build with Fleak?
How does Fleak handle data storage?
What are LLM nodes and how do they work in Fleak?
Can Fleak handle real-time data processing?
How secure is Fleak?
Can I integrate Fleak with my existing systems?
What support is available for Fleak users?
Start Building with Fleak Today
Production Ready AI Data Workflows in Minutes
Request a Demo
Start Building with Fleak Today
Production Ready AI Data Workflows in Minutes
Request a Demo