About superglue (YC W25)

This company offers an open-source data connector that simplifies data integration between APIs and applications. Their server acts as an intermediary layer, enabling users to fetch and transform data from various sources for seamless data access.

```xml <problem> Integrating data from diverse APIs and applications often requires complex, custom code for each connection, leading to a proliferation of connectors that are difficult to maintain. Changes in API schemas can cause data pipelines to break, resulting in downtime and requiring constant monitoring and manual intervention. </problem> <solution> Superglue provides a unified SDK and open-source data connector that simplifies data integration by acting as an intermediary layer between APIs and applications. The platform allows users to fetch, validate, and transform data from various sources through a single, stable endpoint. Superglue automates the creation of data pipelines from natural language prompts, handling authentication, pagination, rate limits, and schema drift. Built-in remapping, retries, and schema-drift detection ensure pipelines remain resilient, adapting to API changes without requiring code rewrites or downtime. </solution> <features> - Unified SDK for connecting to any API (legacy, SOAP, modern SaaS) - Prompt-to-pipeline automation for rapid deployment of data integrations - Self-healing capabilities with built-in remapping, retries, and schema-drift detection - LLM-assisted mapping at setup with cached JSONata transforms at runtime - Ability to stream validated, policy-aware data directly into data warehouses or lakes (e.g., Snowflake, S3, BigQuery) - Support for building agent-ready infrastructure with stable, reliable data access - Open-source and self-hostable for on-premise deployments </features> <target_audience> The primary target audience includes data engineers, software developers, and AI/ML engineers who need to integrate data from multiple sources into applications, data warehouses, or AI agents. </target_audience> ```

What does superglue (YC W25) do?

Where is superglue (YC W25) located?

superglue (YC W25) is based in San Francisco, United States.

How much funding has superglue (YC W25) raised?

superglue (YC W25) has raised 500000.

Location

San Francisco, United States

Funding

500000

Employees

3 employees

Major Investors

Y Combinator

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superglue (YC W25)

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Executive Summary

superglue.cloud 1K+

Crunchbase

San Francisco, United States

Funding

Estimated Funding

$500K+

Major Investors

Y Combinator

Team (<5)

No team information available.

Company Description

Problem

Integrating data from diverse APIs and applications often requires complex, custom code for each connection, leading to a proliferation of connectors that are difficult to maintain. Changes in API schemas can cause data pipelines to break, resulting in downtime and requiring constant monitoring and manual intervention.

Solution

Superglue provides a unified SDK and open-source data connector that simplifies data integration by acting as an intermediary layer between APIs and applications. The platform allows users to fetch, validate, and transform data from various sources through a single, stable endpoint. Superglue automates the creation of data pipelines from natural language prompts, handling authentication, pagination, rate limits, and schema drift. Built-in remapping, retries, and schema-drift detection ensure pipelines remain resilient, adapting to API changes without requiring code rewrites or downtime.

Features

Unified SDK for connecting to any API (legacy, SOAP, modern SaaS)

Prompt-to-pipeline automation for rapid deployment of data integrations

Self-healing capabilities with built-in remapping, retries, and schema-drift detection

LLM-assisted mapping at setup with cached JSONata transforms at runtime

Ability to stream validated, policy-aware data directly into data warehouses or lakes (e.g., Snowflake, S3, BigQuery)

Support for building agent-ready infrastructure with stable, reliable data access

Open-source and self-hostable for on-premise deployments

Target Audience

The primary target audience includes data engineers, software developers, and AI/ML engineers who need to integrate data from multiple sources into applications, data warehouses, or AI agents.