The intelligence
layer for
physical R&D.
Unify systems. Orchestrate with intelligence.
Physical infrastructure generates the most consequential data in engineering. It is also the least accessible.
The Problem
The infrastructure gap in physical R&D
Engineering teams running physical tests operate without a coherent software layer. The result is fragmented data, manual workflows, and no path toward automation or AI-driven action.
Every DAQ system, sensor interface, and instrument vendor operates in isolation. No shared system model — just cables, configs, and institutional memory.
Raw measurements leave the test bench stripped of meaning. No calibration state. No provenance. No configuration linked to the record. Data that cannot be queried, compared, or trusted.
Procedures live in documentation, not software. Every test campaign is unique. Nothing transfers. Nothing automates. The most skilled engineers spend hours moving CSVs.
The Platform
One layer. Across your entire physical infrastructure.
Physical Layer
Daqstra Platform
Downstream
Core Capabilities
From raw signals to intelligent systems
System Graph
Infrastructure-as-code for physical systems
Model your devices, sensors, signals, and configurations as versioned, reusable software assets. Know what's connected, how it's configured, and how it's changed — across every test campaign and hardware revision.
Explore System ModelingObservability
Data that carries its own meaning
Every measurement Daqstra streams includes units, calibration state, test configuration, and full provenance — self-describing from capture to analysis. Query, compare, and debug with certainty across campaigns.
Explore ObservabilityOrchestration
From monitoring to closed-loop operation
Define workflows that respond to live system state. Trigger actions based on real conditions. A safe, controlled path from passive monitoring toward autonomous physical operation.
Explore OrchestrationWhy We Built This
Built from real test environments.
Not from slides.
The Daqstra team comes from live test programs — engine test cells, aerospace ground systems, and high-speed data acquisition campaigns where existing tools failed in production. We built Daqstra because we needed it ourselves.
- — Validated in live aerospace propulsion test campaigns
- — Built by engineers who ran the tests
- — Deployed across heterogeneous hardware stacks
- — External partner campaigns supported from day one
"We ran the tests. We hit the limits. We know exactly what breaks at 2 AM the day before a static fire. We built Daqstra on this foundation."
How a university rocketry team ran an industry-standard test for a YC-backed startup
SEDS UCSD used Daqstra to run a full static fire campaign for Dispatch — a Y Combinator–backed company developing thermal protection systems. Daqstra handled sensor orchestration, valve sequencing, and contextualised data logging throughout. When an alcohol fire damaged hardware mid-campaign, preserved data enabled root-cause analysis within hours and the team rebuilt and retested on schedule.
Physical systems deserve
better infrastructure.
If your team runs real hardware, real tests, or real-time physical operations — we want to talk. Daqstra is built for teams that need more than dashboards.