Led performance systems testing and platform validation at Rivian, including Apple MFi certification and new system bring up. Also works on distributed drone systems.
LinkedInAbout Daqstra
We ran the tests.
We know what breaks.
Daqstra was founded by engineers from real test programs — people who designed, operated, and debugged the kinds of physical systems that existing software tools couldn't handle. We are building the infrastructure layer we needed and couldn't find.
Mission
Make physical infrastructure programmable and intelligent.
Today, the software layer for physical systems is decades behind what software engineers take for granted. Data pipelines are manual. Configurations are undocumented. Workflows are tribal knowledge. The gap between hardware and insight is filled with human effort.
Daqstra exists to close that gap. We are building the missing system layer — the software that sits between physical infrastructure and the teams who need to understand, operate, and improve it.
This is infrastructure. The kind that makes everything else possible.
Origin
Built from the test cell floor.
The founders of Daqstra come from aerospace propulsion testing and real-time physical systems — environments where software failures have physical consequences and where the existing tools consistently fell short.
We have operated engine test cells. We have managed multi-instrument data campaigns. We have done the manual CSV reconciliation at 2 AM when the deadline is the next morning. We understand the problem because we lived it — and we built Daqstra to solve it properly.
Daqstra has been deployed in live test campaigns. Our product direction is shaped by what actually breaks in production — informed by engineers who ran the tests.
Direct experience in engine test operations and propulsion data systems.
Built and operated high-speed data acquisition and control systems.
Supported live test campaigns with external engineering partners from day one.
Team
Founders and operating experience
We've already built and rebuilt complex systems where they were needed most. Now we're bringing that knowledge to Daqstra and making it the data layer of the physical world.
Product design at Apple. Previously at Carnegie Robotics, working across robotics, design for manufacturing, and prototyping. Managed engineering budgets exceeding $250k at SEDS UCSD.
LinkedInAI researcher. Published award-winning research on scalable and modular avionics software at AIAA SciTech while leading R&D programs at SEDS UCSD.
LinkedInEngineer at SpaceX. Designed and ran test campaigns at Ursa Major and Solar Turbines, scaling test hardware and infrastructure.
LinkedInOur founding engineer, Hamza, built enterprise-scale infrastructure-as-code platforms for finance systems, bringing the expertise to scale Daqstra's data layer reliably into the cloud.
What We're Building
The category we are defining
We are building a new category — observability and orchestration for the physical world.
Today
- Fragmented instrument data silos
- Manual configuration tracking
- Context-free CSV exports
- Post-hoc analysis workflows
- Manual everything, end to end
With Daqstra
- Unified, vendor-agnostic system layer
- Versioned infrastructure-as-code
- Context-rich, traceable data streams
- Real-time observability and querying
- Structured path toward orchestration and AI
How We Work
Principles that shape the product
Ground truth matters
Every design decision starts with what actually happens in real test environments. Physical systems are unforgiving. Our software has to match that standard.
Context is everything
Data without context is noise. We treat provenance, calibration state, and configuration metadata as first-class requirements — built into every data point.
Architecture over features
We are building a system layer. The right architecture now enables capabilities that compound over time — things a feature-first approach closes off.
Earn the trust of engineers
The people using Daqstra are skilled, critical, and working on things that matter. We design for them — not for demo impressiveness or purchase committee optics.
Building something that needs this layer?
We are working with a focused set of engineering teams and technical partners. If you are running physical tests, real-time operations, or advanced hardware programs — we want to hear about it.