Provides a developer-focused data infrastructure platform that enables real-time processing, storage, and transformation of structured and unstructured data. By offering bi-temporal Data Cores, flexible ingestion methods, and Docker-based transformation environments, it simplifies the creation of AI-ready systems and reduces storage costs through advanced compression and automated cold storage.
Funding
$242K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Modern applications require real-time processing and storage of both structured and unstructured data, creating complex data workflows for developers. Existing solutions often lack flexibility in data ingestion, transformation, and output, forcing developers to adapt their code to the platform. High storage costs and the need for AI-ready data further compound these challenges.
Solution
Flowcore is a developer-first data infrastructure platform designed to simplify complex data workflows by enabling real-time processing, storage, and transformation of structured and unstructured data. The platform offers flexible ingestion methods, allowing data to be sent from any system using webhooks or a custom filehook. Data is stored in bi-temporal Data Cores, which keep recent data in hot storage and automatically move older data to compressed cold storage, significantly reducing hosting costs. Developers can use Docker-based transformers to stream raw data into code blocks, process it, and output it to any destination, ensuring seamless integration with existing infrastructure.
Target Audience
Flowcore targets full-stack developers working with real-time data, structured or unstructured datasets, and those needing AI training-ready systems.
Features
- Flexible ingestion methods, including webhooks and a custom filehook, to easily send unstructured data from any system.
- Bi-temporal Data Cores that store data as unchangeable events, allowing for management, streaming, and access at any time.
- Automatic data tiering, with 7 days of hot storage and automatic movement to cold, compressed storage to lower hosting costs.
- Docker-based transformers that allow developers to stream raw, unstructured data into code blocks for custom processing and handling.
- Support for outputting processed data to external systems, databases, or services, ensuring seamless integration with existing infrastructure.
- High compression rates, reducing storage needs from 400TB to 13TB.