Synnax provides a sensor database and operations framework specifically engineered for next-generation hardware teams. This platform enables real-time communication with thousands of sensors and actuators while supporting the analysis of terabytes of telemetry data. It automates control and analysis workflows, offering high-throughput data acquisition and seamless control handoff between automated and manual operation modes.
Funding
$500K 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
Hardware teams face challenges in managing and analyzing the large volumes of time-series data generated by sensors and actuators. Existing database solutions often lack the performance and specialized features required for real-time hardware operations, leading to bottlenecks in data acquisition, control, and analysis workflows. This can hinder development, testing, and deployment of next-generation hardware systems.
Solution
Synnax offers a time-series database and operations framework designed specifically for hardware teams. The platform enables real-time communication with thousands of sensors and actuators, processing terabytes of telemetry data with high throughput and low latency. Synnax automates control and analysis workflows, providing a unified interface for data acquisition, visualization, and actuator management. Its architecture supports seamless transitions between automated and manual operation, facilitating efficient data acquisition and actuator management in demanding operational environments.
Target Audience
Synnax targets hardware teams involved in the development, testing, and deployment of sensor-driven systems, including those working with robotics, industrial automation, and IoT devices.
Features
- High-performance time-series database optimized for sensor data with read/write speeds exceeding 10 million samples per second
- Real-time data streaming for low-latency visualization, actuator control, and continuous analysis
- Unified console for visualizing real-time and historical data, configuring instrumentation, and running operations
- GPU-accelerated visualization engine for plotting millions of data points in real-time
- Automated workflow capabilities triggered by operational events or data conditions
- Support for custom user interfaces and operational consoles via a React component library
- Client libraries in C++, Python, and Typescript for developing custom drivers, data applications, and AI enhancements
- Seamless control handoff between automated and manual operation