Synnax

We build software that helps hardware teams quickly and clearly evaluate how a component (engine, battery, valve, etc.) or process (assembly line, manufacturing plant) performs. We prevent mistakes, reduce costs, and accelerate time-to-market. Our platform unifies industrial control with sensor data storage and automated post-processing, delivering an end-to-end operations and observability stack. To put it comparatively, take LabVIEW, InfluxDB, and Grafana, wrap them into a single package, add a bit of magic, and you get Synnax.

High-Level Overview

Synnax is a unified hardware control and data processing software platform designed specifically for next-generation hardware teams. It provides a sensor database and operations framework that enables real-time communication with thousands of sensors and actuators, delivering high-throughput, low-latency data acquisition, control, visualization, and automated analysis. Synnax serves hardware engineers and teams building complex instrumentation and robotics systems, solving the problem of managing and analyzing massive streams of sensor data efficiently and reliably. Its platform supports scalable operations from small bench-top setups to large distributed sensor networks, enabling seamless manual and automated control workflows with GPU-accelerated visualization and powerful search capabilities.

Origin Story

Founded by Emiliano Bonilla (CEO), Elham Islam (CTO), and Patrick Dotson (COO), Synnax emerged from a deep commitment to equip engineering teams with the best software tools to build advanced hardware technologies. The founders’ backgrounds in hardware and software engineering informed the creation of a purpose-built time-series database and control framework optimized for hardware telemetry and actuator management. Early traction came from demonstrating unparalleled performance in sensor data throughput and real-time control, positioning Synnax as a foundational platform for hardware innovation.

Core Differentiators

• Purpose-built time-series database: Designed specifically for hardware sensor data and actuator control, unlike generic databases.
• High performance: Single-node write throughput exceeding 8 million samples per second and read throughput over 12 million samples per second.
• Real-time readiness: Low-latency streaming enables continuous visualization, control, and analysis.
• Unified interface: Combines data visualization, instrumentation configuration, and operations control in one console.
• Seamless control handoff: Smooth transition between automated and manual actuator control.
• Scalability: Supports setups from dozens to thousands of sensor channels across distributed teams.
• GPU-accelerated visualization: Fast plotting of millions of data points in real-time.
• Robust search and organization: Instant access to any dataset or sensor metadata via command palette.

Role in the Broader Tech Landscape

Synnax rides the growing trend of hardware digitization and the increasing complexity of sensor-driven systems in robotics, IoT, and industrial automation. As hardware teams demand more integrated and scalable software solutions for telemetry and control, Synnax’s timing is ideal to address these needs with a unified platform. Market forces such as the proliferation of sensors, the rise of autonomous systems, and the need for real-time data processing favor Synnax’s approach. By enabling hardware teams to operate more efficiently and innovate faster, Synnax influences the broader ecosystem by setting new standards for hardware data infrastructure and operational workflows.

Quick Take & Future Outlook

Looking ahead, Synnax is poised to expand its platform capabilities, potentially integrating more AI-driven analytics and broader hardware compatibility. Trends such as edge computing, autonomous robotics, and digital twins will shape its journey, increasing demand for real-time, scalable hardware control software. As hardware complexity grows, Synnax’s influence will likely deepen, becoming a critical backbone for hardware innovation across industries. Its unified approach to sensor data and actuator control positions it well to lead in the evolving landscape of hardware engineering tools.