AI Workflows.

Simplified.

AI Workflows.

Simplified.

AI Workflows.

Simplified.

Effortlessly Integrate, Consolidate,

and Scale Your Data Workflows.

Effortlessly Integrate, Consolidate,

and Scale Your Data Workflows.

Fleak is a low-code serverless API Builder for data teams that requires no infrastructure and allows you to instantly embed API endpoints to your existing modern AI & Data tech stack.

Data & AI transformations via simple API calls

Data & AI transformations via simple API calls

Easily build your data workflow

Easily build your data workflow

Praesent quis leo curae enim ornare tempus dolor eu sed morbi lorem sem commodo ligula, luctus fusce lobortis lacus eleifend conubia per nec vehicula dis quam eros porta. Tempor volutpat luctus varius consequat tristique conubia aenean.

Add sample data (JSON, CSV, or Plaint Text )

Customize the workflow steps & run to view the results

Publish and call the API

Integrates with popular LLM models and databases

Integrates with popular LLM models and databases

Praesent quis leo curae enim ornare tempus dolor eu sed morbi lorem sem commodo ligula, luctus fusce lobortis lacus eleifend conubia per nec vehicula dis quam eros porta. Tempor volutpat luctus varius consequat tristique conubia aenean.

Popular LLMs like GPT, Llama or Mixtral

Functions like AWS Lambda Function, Text Embeddings or Pinceone Knowledge Search

Store your transformed data in popular databases like Pinecone, Snowflake or S3

Publish, call the API and monitor the data

Publish, call the API and monitor the data

Praesent quis leo curae enim ornare tempus dolor eu sed morbi lorem sem commodo ligula, luctus fusce lobortis lacus eleifend conubia per nec vehicula dis quam eros porta. Tempor volutpat luctus varius consequat tristique conubia aenean.

Version your workflows and Publish to Staging or Production

Call the API using your favourite HTTP client, such as Postman or Curl

Monitor the data for issues

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.

Production-ready deployment with no infrastructure requirements

Production-ready deployment with 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.

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.

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.

FAQ

Why should we move beyond pipeline tools like Cribl or AWS Glue?

Does Fleak cause vendor lock-in?

Is this just for one-time migrations? What happens when a vendor changes their schema?

Will Fleak replace my Data Engineers?

How does Fleak handle high-volume streams and existing Databricks environments?

How do you guarantee data consistency across complex standards (OCSF, CIM, etc.)?

FAQ

Why should we move beyond pipeline tools like Cribl or AWS Glue?

Does Fleak cause vendor lock-in?

Is this just for one-time migrations? What happens when a vendor changes their schema?

Will Fleak replace my Data Engineers?

How does Fleak handle high-volume streams and existing Databricks environments?

How do you guarantee data consistency across complex standards (OCSF, CIM, etc.)?

FAQ

Why should we move beyond pipeline tools like Cribl or AWS Glue?

Does Fleak cause vendor lock-in?

Is this just for one-time migrations? What happens when a vendor changes their schema?

Will Fleak replace my Data Engineers?

How does Fleak handle high-volume streams and existing Databricks environments?

How do you guarantee data consistency across complex standards (OCSF, CIM, etc.)?

Start Building with Fleak Today

Lakehouse Ready Data in Minutes

Start Building with Fleak Today

Lakehouse Ready Data in Minutes