Srtxlabs provides a cloud‑native data platform that automates the ingestion, transformation, and visualization of streaming and batch data through a low‑code, drag‑and‑drop pipeline builder. The serverless architecture offers auto‑scaling, pre‑built connectors, and customizable analytics dashboards while delivering built‑in governance, encryption, and role‑based access controls for secure, scalable data operations.
Funding
$40M 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
Businesses need to collect, process, and analyze large volumes of data in real time, but existing tools often require complex integration, high infrastructure costs, and specialized expertise.
Solution
Srtxlabs offers a cloud‑native data platform that automates the ingestion, transformation, and visualization of streaming and batch data. The platform provides pre‑built connectors for common sources, a low‑code workflow engine for data pipelines, and built‑in analytics dashboards that can be customized without writing code. By leveraging serverless architecture, Srtxlabs reduces operational overhead and scales automatically with data volume. The solution also includes role‑based access controls and end‑to‑end encryption to ensure data security and compliance. Users can monitor pipeline health and performance through a unified console, enabling faster decision‑making and reduced time‑to‑insight.
Target Audience
Primary customers are data‑driven enterprises, product teams, and analytics departments that require rapid, scalable data pipelines without extensive engineering resources.
Features
- Library of ready‑to‑use connectors for databases, APIs, IoT devices, and cloud services
- Visual drag‑and‑drop pipeline builder with support for real‑time stream processing and batch jobs
- Serverless execution engine that auto‑scales and eliminates infrastructure management
- Interactive dashboards with customizable widgets and real‑time data refresh
- Integrated data governance tools including lineage tracking, audit logs, and fine‑grained permissions
- API and SDKs for extending functionality and embedding analytics into external applications